2018 |
Tiwary, Uma Shanker (Ed.) Intelligent Human Computer Interaction Proceeding Springer, 11278 , 2018. BibTeX | Tags: @proceedings{ihci2018, title = {Intelligent Human Computer Interaction}, editor = {Uma Shanker Tiwary}, year = {2018}, date = {2018-12-09}, booktitle = {Intelligent Human Computer Interaction}, volume = {11278}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, keywords = {}, pubstate = {published}, tppubtype = {proceedings} } |
2017 |
Dhariya, Omkar; Malviya, Shrikant; Tiwary, Uma Shanker A hybrid approach for Hindi-English machine translation Inproceedings 2017 International Conference on Information Networking (ICOIN), pp. 389-394, 2017. Abstract | Links | BibTeX | Tags: @inproceedings{7899465, title = {A hybrid approach for Hindi-English machine translation}, author = {Omkar Dhariya and Shrikant Malviya and Uma Shanker Tiwary}, doi = {10.1109/ICOIN.2017.7899465}, year = {2017}, date = {2017-01-01}, booktitle = {2017 International Conference on Information Networking (ICOIN)}, pages = {389-394}, abstract = {In this paper, an extended combined approach of phrase based statistical machine translation (SMT), example based MT (EBMT) and rule based MT (RBMT) is proposed to develop a novel hybrid data driven MT system capable of outperforming the baseline SMT, EBMT and RBMT systems from which it is derived. In short, the proposed hybrid MT process is guided by the rule based MT after getting a set of partial candidate translations provided by EBMT and SMT subsystems. Previous works have shown that EBMT systems are capable of outperforming the phrase-based SMT systems and RBMT approach has the strength of generating structurally and morphologically more accurate results. This hybrid approach increases the fluency, accuracy and grammatical precision which improve the quality of a machine translation system. A comparison of the proposed hybrid machine translation (HTM) model with renowned translators i.e. Google, BING and Babylonian is also presented which shows that the proposed model works better on sentences with ambiguity as well as comprised of idioms than others.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } In this paper, an extended combined approach of phrase based statistical machine translation (SMT), example based MT (EBMT) and rule based MT (RBMT) is proposed to develop a novel hybrid data driven MT system capable of outperforming the baseline SMT, EBMT and RBMT systems from which it is derived. In short, the proposed hybrid MT process is guided by the rule based MT after getting a set of partial candidate translations provided by EBMT and SMT subsystems. Previous works have shown that EBMT systems are capable of outperforming the phrase-based SMT systems and RBMT approach has the strength of generating structurally and morphologically more accurate results. This hybrid approach increases the fluency, accuracy and grammatical precision which improve the quality of a machine translation system. A comparison of the proposed hybrid machine translation (HTM) model with renowned translators i.e. Google, BING and Babylonian is also presented which shows that the proposed model works better on sentences with ambiguity as well as comprised of idioms than others. |
Shubhangi, ; Tiwary, Uma Shanker Classification of Indian Classical Dance Forms Inproceedings Basu, Anupam; Das, Sukhendu; Horain, Patrick; Bhattacharya, Samit (Ed.): Intelligent Human Computer Interaction, pp. 67–80, Springer International Publishing, Cham, 2017, ISBN: 978-3-319-52503-7. @inproceedings{10.1007/978-3-319-52503-7_6, title = {Classification of Indian Classical Dance Forms}, author = {Shubhangi and Uma Shanker Tiwary}, editor = {Anupam Basu and Sukhendu Das and Patrick Horain and Samit Bhattacharya}, isbn = {978-3-319-52503-7}, year = {2017}, date = {2017-01-01}, booktitle = {Intelligent Human Computer Interaction}, pages = {67--80}, publisher = {Springer International Publishing}, address = {Cham}, abstract = {The algorithm proposed in this paper aims to achieve pose recognition in Indian classical dance domain. Three different dance forms namely Bharatnatyam, Kathak and Odissi, all together with 15 poses have been considered for pose classification problem. An initial database is created consisting of 100 images and split into training and testing dataset. Hu moments have been chosen as the feature extraction technique to describe the shape context of an image since they are scale, translation and rotation invariant. To extract Hu moments from the image, the foreground and the background of the images must be separated. The resultant images are then converted to binary. Since it is a multiclass classification problem, SVM using one vs one approach as well as one vs all approach has been implemented and the results are contrasted with linear and RBF kernels for both the approaches.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } The algorithm proposed in this paper aims to achieve pose recognition in Indian classical dance domain. Three different dance forms namely Bharatnatyam, Kathak and Odissi, all together with 15 poses have been considered for pose classification problem. An initial database is created consisting of 100 images and split into training and testing dataset. Hu moments have been chosen as the feature extraction technique to describe the shape context of an image since they are scale, translation and rotation invariant. To extract Hu moments from the image, the foreground and the background of the images must be separated. The resultant images are then converted to binary. Since it is a multiclass classification problem, SVM using one vs one approach as well as one vs all approach has been implemented and the results are contrasted with linear and RBF kernels for both the approaches. |
2016 |
Verma, Gyanendra Kumar; Tiwary, Uma Shanker Affect representation and recognition in 3D continuous valence--arousal--dominance space Journal Article Multimedia Tools and Applications, pp. 1–25, 2016, ISSN: 1573-7721. Abstract | Links | BibTeX | Tags: @article{Verma2016, title = {Affect representation and recognition in 3D continuous valence--arousal--dominance space}, author = {Gyanendra Kumar Verma and Uma Shanker Tiwary}, url = {http://dx.doi.org/10.1007/s11042-015-3119-y}, doi = {10.1007/s11042-015-3119-y}, issn = {1573-7721}, year = {2016}, date = {2016-01-01}, journal = {Multimedia Tools and Applications}, pages = {1--25}, abstract = {Currently, the focus of research on human affect recognition has shifted from six basic emotions to complex affect recognition in continuous two or three dimensional space due to the following challenges: (i) the difficulty in representing and analyzing large number of emotions in one framework, (ii) the problem of representing complex emotions in the framework, and (iii) the lack of validation of the framework through measured signals, and (iv) the lack of applicability of the selected framework to other aspects of affective computing. This paper presents a Valence -- Arousal -- Dominance framework to represent emotions. This framework is capable of representing complex emotions on continuous 3D space. To validate the model, an affect recognition technique has been proposed that analyses spontaneous physiological (EEG) and visual cues. The DEAP dataset is a multimodal emotion dataset which contains video and physiological signals as well as Valence, Arousal and Dominance values. This dataset has been used for multimodal analysis and recognition of human emotions. The results prove the correctness and sufficiency of the proposed framework. The model has also been compared with other two dimensional models and the capacity of the model to represent many more complex emotions has been discussed.}, keywords = {}, pubstate = {published}, tppubtype = {article} } Currently, the focus of research on human affect recognition has shifted from six basic emotions to complex affect recognition in continuous two or three dimensional space due to the following challenges: (i) the difficulty in representing and analyzing large number of emotions in one framework, (ii) the problem of representing complex emotions in the framework, and (iii) the lack of validation of the framework through measured signals, and (iv) the lack of applicability of the selected framework to other aspects of affective computing. This paper presents a Valence -- Arousal -- Dominance framework to represent emotions. This framework is capable of representing complex emotions on continuous 3D space. To validate the model, an affect recognition technique has been proposed that analyses spontaneous physiological (EEG) and visual cues. The DEAP dataset is a multimodal emotion dataset which contains video and physiological signals as well as Valence, Arousal and Dominance values. This dataset has been used for multimodal analysis and recognition of human emotions. The results prove the correctness and sufficiency of the proposed framework. The model has also been compared with other two dimensional models and the capacity of the model to represent many more complex emotions has been discussed. |
Malviya, Shrikant; Tiwary, Uma Shanker Knowledge Based Summarization and Document Generation using Bayesian Network Journal Article Procedia Computer Science, 89 , pp. 333 - 340, 2016, ISSN: 1877-0509, (Twelfth International Conference on Communication Networks, ICCN 2016, August 19– 21, 2016, Bangalore, India Twelfth International Conference on Data Mining and Warehousing, ICDMW 2016, August 19-21, 2016, Bangalore, India Twelfth International Conference on Image and Signal Processing, ICISP 2016, August 19-21, 2016, Bangalore, India). Abstract | Links | BibTeX | Tags: Bayesian Network, Extractive Summarization, information retrieval, Multi Document Summarization (MDS), Semantic Knowledge, Text Classification. @article{MALVIYA2016333, title = {Knowledge Based Summarization and Document Generation using Bayesian Network}, author = {Shrikant Malviya and Uma Shanker Tiwary}, url = {http://www.sciencedirect.com/science/article/pii/S1877050916311450}, doi = {https://doi.org/10.1016/j.procs.2016.06.080}, issn = {1877-0509}, year = {2016}, date = {2016-01-01}, journal = {Procedia Computer Science}, volume = {89}, pages = {333 - 340}, abstract = {In this paper an approach of Semantic Knowledge Extraction (SKE), from a set of research papers, is proposed to develop a system Summarized Research Article Generator (SRAG) which would generate a summarized research article based on the query given by a user. The SRAG stores the semantic knowledge extracted from the query relevant papers in the form of a semantic tree. Semantic Tree stores all the textual units with their score in nodes organized at different levels depending on their type such as at the bottom leaf nodes keep the words with its probability, the upper level of it represent sentences with its score, next to it paragraphs, segments and so on. Scores of all the entities are calculated in bottom to up manner, first score of words are calculated, based on words sentences are ranked and similarly all the higher levels of the knowledge tree would be scored. A method of Bayesian network is used to generate a probabilistic model which would extract the relevant information from the knowledge tree to generate a summarized article. To maintain coherency, the summarized document is generated segment-wise by combining the most relevant paragraphs. Abstract of a generated summary is shown as a sample result. To show the effectiveness of the algorithm, an intrinsic evaluation strategy, degree of representativeness (DOG) is used. DOG gives on average 50% of relevance of the summary with the source. It's been observed that the proposed approach generates a comprehensive and precise papers.}, note = {Twelfth International Conference on Communication Networks, ICCN 2016, August 19{\textendash} 21, 2016, Bangalore, India Twelfth International Conference on Data Mining and Warehousing, ICDMW 2016, August 19-21, 2016, Bangalore, India Twelfth International Conference on Image and Signal Processing, ICISP 2016, August 19-21, 2016, Bangalore, India}, keywords = {Bayesian Network, Extractive Summarization, information retrieval, Multi Document Summarization (MDS), Semantic Knowledge, Text Classification.}, pubstate = {published}, tppubtype = {article} } In this paper an approach of Semantic Knowledge Extraction (SKE), from a set of research papers, is proposed to develop a system Summarized Research Article Generator (SRAG) which would generate a summarized research article based on the query given by a user. The SRAG stores the semantic knowledge extracted from the query relevant papers in the form of a semantic tree. Semantic Tree stores all the textual units with their score in nodes organized at different levels depending on their type such as at the bottom leaf nodes keep the words with its probability, the upper level of it represent sentences with its score, next to it paragraphs, segments and so on. Scores of all the entities are calculated in bottom to up manner, first score of words are calculated, based on words sentences are ranked and similarly all the higher levels of the knowledge tree would be scored. A method of Bayesian network is used to generate a probabilistic model which would extract the relevant information from the knowledge tree to generate a summarized article. To maintain coherency, the summarized document is generated segment-wise by combining the most relevant paragraphs. Abstract of a generated summary is shown as a sample result. To show the effectiveness of the algorithm, an intrinsic evaluation strategy, degree of representativeness (DOG) is used. DOG gives on average 50% of relevance of the summary with the source. It's been observed that the proposed approach generates a comprehensive and precise papers. |
2015 |
Singh, Brijraj; Mishra, Sudhakar; Tiwary, Uma Shanker EEG based biometric identification with reduced number of channels Inproceedings 2015 17th International Conference on Advanced Communication Technology (ICACT), pp. 687-691, 2015, ISSN: 1738-9445. Links | BibTeX | Tags: 10 channel EEG, Accuracy, Authentication, bivariate measure, Coherence, confidentiality retention, distance based classifier, EEG, EEG based biometric identification, EEG channels, electroencephalography, feature selection, forgery prevention, incremental approach, k-nearest neighbour, magnitude squared coherence, medical signal processing, Noise, Testing, Training @inproceedings{7224883, title = {EEG based biometric identification with reduced number of channels}, author = {Brijraj Singh and Sudhakar Mishra and Uma Shanker Tiwary}, doi = {10.1109/ICACT.2015.7224883}, issn = {1738-9445}, year = {2015}, date = {2015-07-01}, booktitle = {2015 17th International Conference on Advanced Communication Technology (ICACT)}, pages = {687-691}, keywords = {10 channel EEG, Accuracy, Authentication, bivariate measure, Coherence, confidentiality retention, distance based classifier, EEG, EEG based biometric identification, EEG channels, electroencephalography, feature selection, forgery prevention, incremental approach, k-nearest neighbour, magnitude squared coherence, medical signal processing, Noise, Testing, Training}, pubstate = {published}, tppubtype = {inproceedings} } |
Srivastava, Namrata; Agrawal, Utkarsh; Roy, Soumava Kumar; Tiwary, Uma Shanker Human identification using Linear Multiclass SVM and Eye Movement biometrics Inproceedings Contemporary Computing (IC3), 2015 Eighth International Conference on, pp. 365-369, 2015. Links | BibTeX | Tags: Biological system modeling, Biometric Eye Verification, biometrics (access control), Data models, Error analysis, Eye Difference, eye movement biometrics, Eye Position, Eye Velocity, eye-based biometric identification, Feature extraction, human identification, Identification, image recognition, linear multiclass SVM, linear multiclass SVM model, support vector machines, Training @inproceedings{7346708, title = {Human identification using Linear Multiclass SVM and Eye Movement biometrics}, author = {Namrata Srivastava and Utkarsh Agrawal and Soumava Kumar Roy and Uma Shanker Tiwary}, doi = {10.1109/IC3.2015.7346708}, year = {2015}, date = {2015-08-01}, booktitle = {Contemporary Computing (IC3), 2015 Eighth International Conference on}, pages = {365-369}, keywords = {Biological system modeling, Biometric Eye Verification, biometrics (access control), Data models, Error analysis, Eye Difference, eye movement biometrics, Eye Position, Eye Velocity, eye-based biometric identification, Feature extraction, human identification, Identification, image recognition, linear multiclass SVM, linear multiclass SVM model, support vector machines, Training}, pubstate = {published}, tppubtype = {inproceedings} } |
Agrawal, Utkarsh; Tiwary, Uma Shanker; Roy, Soumava Kumar; Prashanth, D S K-means clustering for adaptive wavelet based image denoising Inproceedings Computer Engineering and Applications (ICACEA), 2015 International Conference on Advances in, pp. 134-137, 2015. Links | BibTeX | Tags: adaptive soft thresholding, adaptive wavelet, Clustering algorithms, Discrete Wavelet Transform, Filtering, Gaussian noise, image denoising, image segmentation, inverse transforms, inverse wavelet transform, k-means clustering, K-Means Clustering Algorithm, k-means grouping statistical parameters, Noise, Noise measurement, pattern clustering, PSNR, Soft Thresholding, variable Gaussian noise, wavelet transforms @inproceedings{7164681, title = {K-means clustering for adaptive wavelet based image denoising}, author = {Utkarsh Agrawal and Uma Shanker Tiwary and Soumava Kumar Roy and D S Prashanth}, doi = {10.1109/ICACEA.2015.7164681}, year = {2015}, date = {2015-03-01}, booktitle = {Computer Engineering and Applications (ICACEA), 2015 International Conference on Advances in}, pages = {134-137}, keywords = {adaptive soft thresholding, adaptive wavelet, Clustering algorithms, Discrete Wavelet Transform, Filtering, Gaussian noise, image denoising, image segmentation, inverse transforms, inverse wavelet transform, k-means clustering, K-Means Clustering Algorithm, k-means grouping statistical parameters, Noise, Noise measurement, pattern clustering, PSNR, Soft Thresholding, variable Gaussian noise, wavelet transforms}, pubstate = {published}, tppubtype = {inproceedings} } |
Tiwary, Uma Shanker (Ed.) Proceeding of the Seventh International Conference on Intelligent Human Computer Interaction (IHCI 2015) Proceeding Elsevier, 84 , 2015. BibTeX | Tags: @proceedings{ihci2015, title = {Proceeding of the Seventh International Conference on Intelligent Human Computer Interaction (IHCI 2015)}, editor = {Uma Shanker Tiwary}, year = {2015}, date = {2015-12-16}, booktitle = {Proceeding of the Seventh International Conference on Intelligent Human Computer Interaction (IHCI 2015)}, journal = {Procedia Computer Science}, volume = {84}, publisher = {Elsevier}, keywords = {}, pubstate = {published}, tppubtype = {proceedings} } |
2014 |
Mishra, Sudhakar; Tiwary, Uma Shanker Heart Rate Measurement Using Video in Different User States for Online HCI Applications Journal Article Procedia Computer Science, 39 , pp. 20 - 27, 2014, ISSN: 1877-0509, (The 6th international conference on Intelligent Human Computer Interaction, IHCI 2014). Abstract | Links | BibTeX | Tags: BCG, Heart Rate Variability, Histogram., PCA, Pulse Rate @article{MISHRA201420, title = {Heart Rate Measurement Using Video in Different User States for Online HCI Applications}, author = {Sudhakar Mishra and Uma Shanker Tiwary}, url = {http://www.sciencedirect.com/science/article/pii/S1877050914014239}, doi = {https://doi.org/10.1016/j.procs.2014.11.005}, issn = {1877-0509}, year = {2014}, date = {2014-01-01}, journal = {Procedia Computer Science}, volume = {39}, pages = {20 - 27}, abstract = {In this paper we implemented an unobtrusive and non-invasive method to measure pulse rate and heart rate variability. A Ballistocardiography technique has been used which describes ballistic force applied by heart on blood vessels. Ballistocardiography depicts repetitive motion in human body against blood flow because of the ballistic force. In this process videos of human head have been recorded and feature points using Lucas - Kanade point tracker are calculated. After filtering the resultant signal to remove noise (unwanted signals) trajectories are decomposed into elementary components. Component that best corresponds to pulse frequency is selected. Detected peaks correspond to beats in the signal and hence the Heart Rate Variability is calculated. The algorithm was tested with many videos of 12 subjects (10 males and 2 females) with variations in skin color, sex, subject's state. We found that user state and activities affect Heart Rate Variability which can be calculated through our algorithm. It is concluded that extensive research and development of this unobtrusive and non-invasive technique can yield new tools for various online and adaptive HCI applications.}, note = {The 6th international conference on Intelligent Human Computer Interaction, IHCI 2014}, keywords = {BCG, Heart Rate Variability, Histogram., PCA, Pulse Rate}, pubstate = {published}, tppubtype = {article} } In this paper we implemented an unobtrusive and non-invasive method to measure pulse rate and heart rate variability. A Ballistocardiography technique has been used which describes ballistic force applied by heart on blood vessels. Ballistocardiography depicts repetitive motion in human body against blood flow because of the ballistic force. In this process videos of human head have been recorded and feature points using Lucas - Kanade point tracker are calculated. After filtering the resultant signal to remove noise (unwanted signals) trajectories are decomposed into elementary components. Component that best corresponds to pulse frequency is selected. Detected peaks correspond to beats in the signal and hence the Heart Rate Variability is calculated. The algorithm was tested with many videos of 12 subjects (10 males and 2 females) with variations in skin color, sex, subject's state. We found that user state and activities affect Heart Rate Variability which can be calculated through our algorithm. It is concluded that extensive research and development of this unobtrusive and non-invasive technique can yield new tools for various online and adaptive HCI applications. |
Verma, Gyanendra Kumar; Tiwary, Uma Shanker Multimodal fusion framework: A multiresolution approach for emotion classification and recognition from physiological signals Journal Article NeuroImage, 102, Part 1 , pp. 162 - 172, 2014, ISSN: 1053-8119, (Multimodal Data Fusion). Abstract | Links | BibTeX | Tags: KNN @article{Verma2014162, title = {Multimodal fusion framework: A multiresolution approach for emotion classification and recognition from physiological signals}, author = {Gyanendra Kumar Verma and Uma Shanker Tiwary}, url = {http://www.sciencedirect.com/science/article/pii/S1053811913010999}, doi = {http://dx.doi.org/10.1016/j.neuroimage.2013.11.007}, issn = {1053-8119}, year = {2014}, date = {2014-01-01}, journal = {NeuroImage}, volume = {102, Part 1}, pages = {162 - 172}, abstract = {Abstract The purpose of this paper is twofold: (i) to investigate the emotion representation models and find out the possibility of a model with minimum number of continuous dimensions and (ii) to recognize and predict emotion from the measured physiological signals using multiresolution approach. The multimodal physiological signals are: Electroencephalogram (EEG) (32 channels) and peripheral (8 channels: Galvanic skin response (GSR), blood volume pressure, respiration pattern, skin temperature, electromyogram (EMG) and electrooculogram (EOG)) as given in the DEAP database. We have discussed the theories of emotion modeling based on i) basic emotions, ii) cognitive appraisal and physiological response approach and iii) the dimensional approach and proposed a three continuous dimensional representation model for emotions. The clustering experiment on the given valence, arousal and dominance values of various emotions has been done to validate the proposed model. A novel approach for multimodal fusion of information from a large number of channels to classify and predict emotions has also been proposed. Discrete Wavelet Transform, a classical transform for multiresolution analysis of signal has been used in this study. The experiments are performed to classify different emotions from four classifiers. The average accuracies are 81.45%, 74.37%, 57.74% and 75.94% for SVM, MLP, KNN and MMC classifiers respectively. The best accuracy is for ‘Depressing’ with 85.46% using SVM. The 32 EEG channels are considered as independent modes and features from each channel are considered with equal importance. May be some of the channel data are correlated but they may contain supplementary information. In comparison with the results given by others, the high accuracy of 85% with 13 emotions and 32 subjects from our proposed method clearly proves the potential of our multimodal fusion approach.}, note = {Multimodal Data Fusion}, keywords = {KNN}, pubstate = {published}, tppubtype = {article} } Abstract The purpose of this paper is twofold: (i) to investigate the emotion representation models and find out the possibility of a model with minimum number of continuous dimensions and (ii) to recognize and predict emotion from the measured physiological signals using multiresolution approach. The multimodal physiological signals are: Electroencephalogram (EEG) (32 channels) and peripheral (8 channels: Galvanic skin response (GSR), blood volume pressure, respiration pattern, skin temperature, electromyogram (EMG) and electrooculogram (EOG)) as given in the DEAP database. We have discussed the theories of emotion modeling based on i) basic emotions, ii) cognitive appraisal and physiological response approach and iii) the dimensional approach and proposed a three continuous dimensional representation model for emotions. The clustering experiment on the given valence, arousal and dominance values of various emotions has been done to validate the proposed model. A novel approach for multimodal fusion of information from a large number of channels to classify and predict emotions has also been proposed. Discrete Wavelet Transform, a classical transform for multiresolution analysis of signal has been used in this study. The experiments are performed to classify different emotions from four classifiers. The average accuracies are 81.45%, 74.37%, 57.74% and 75.94% for SVM, MLP, KNN and MMC classifiers respectively. The best accuracy is for ‘Depressing’ with 85.46% using SVM. The 32 EEG channels are considered as independent modes and features from each channel are considered with equal importance. May be some of the channel data are correlated but they may contain supplementary information. In comparison with the results given by others, the high accuracy of 85% with 13 emotions and 32 subjects from our proposed method clearly proves the potential of our multimodal fusion approach. |
2013 |
Srivastava, Anupam; Vaidya, Divij; Singh, Malay; Singh, Pranjal; Tiwary, Uma Shanker A Cognitive Interactive Framework for Multi-Document Summarizer Inproceedings Kudělka, Miloš; Pokorný, Jaroslav; Snášel, Václav; Abraham, Ajith (Ed.): Proceedings of the Third International Conference on Intelligent Human Computer Interaction (IHCI 2011), Prague, Czech Republic, August, 2011, pp. 257–268, Springer Berlin Heidelberg, Berlin, Heidelberg, 2013, ISBN: 978-3-642-31603-6. @inproceedings{10.1007/978-3-642-31603-6_22, title = {A Cognitive Interactive Framework for Multi-Document Summarizer}, author = {Anupam Srivastava and Divij Vaidya and Malay Singh and Pranjal Singh and Uma Shanker Tiwary}, editor = {Milo\v{s} Kud\u{e}lka and Jaroslav Pokorn\'{y} and V\'{a}clav Sn\'{a}\v{s}el and Ajith Abraham}, isbn = {978-3-642-31603-6}, year = {2013}, date = {2013-01-01}, booktitle = {Proceedings of the Third International Conference on Intelligent Human Computer Interaction (IHCI 2011), Prague, Czech Republic, August, 2011}, pages = {257--268}, publisher = {Springer Berlin Heidelberg}, address = {Berlin, Heidelberg}, abstract = {In this paper, we present a generic interactive framework based on human cognition, where the system can learn continuously from the Internet and from its interaction with the users. To show the utilization of this framework, Iintelli, an agent based application for multiple text document summarization is developed and compared with the MEAD on the Cran Data Set. Mead is a natural language processing-based summarizer, which provides summary by extracting sentences from a cluster of related documents and Cran is a data set maintained by Information Retrieval Group at University of Glasgow. The human knowledge and experience are represented through fuzzy logic-based word-mesh and sentence-mesh, which can learn. Learning is performed using the competitive models, namely, Maxnet and Mexican Hat Models. As the result shows, the framework performs well as a multi-document summarizer. Though we have tested the framework for multi-document summarization, we believe that it can be extended to develop interactive applications for other domains and tasks.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } In this paper, we present a generic interactive framework based on human cognition, where the system can learn continuously from the Internet and from its interaction with the users. To show the utilization of this framework, Iintelli, an agent based application for multiple text document summarization is developed and compared with the MEAD on the Cran Data Set. Mead is a natural language processing-based summarizer, which provides summary by extracting sentences from a cluster of related documents and Cran is a data set maintained by Information Retrieval Group at University of Glasgow. The human knowledge and experience are represented through fuzzy logic-based word-mesh and sentence-mesh, which can learn. Learning is performed using the competitive models, namely, Maxnet and Mexican Hat Models. As the result shows, the framework performs well as a multi-document summarizer. Though we have tested the framework for multi-document summarization, we believe that it can be extended to develop interactive applications for other domains and tasks. |
Singh, Malay; Tiwary, Uma Shanker; Siddiqui, Tanveer J A speech retrieval system based on fuzzy logic and knowledge-base filtering Inproceedings Multimedia, Signal Processing and Communication Technologies (IMPACT), 2013 International Conference on, pp. 46-50, 2013. Links | BibTeX | Tags: Adaptation models, audio file retrieval, audio query, audio signal processing, audio user interfaces, automatic speech recognition, CMUSphinx4 library, cognitive interactive framework, cognitive systems, continuous speech retrieval system, corpus, Dictionaries, Engines, fuzzy logic, fuzzy logic based reasoning, fuzzy word mesh, Hidden Markov models, Indian accent, information filtering, information retrieval engine, interactive systems, IR engine, knowledge based systems, knowledge-based filtering, lab environment, linguistic knowledge, natural language processing, query processing, relevant sentences retreival, software libraries, Speech, speech recognition, text analysis @inproceedings{6782085, title = {A speech retrieval system based on fuzzy logic and knowledge-base filtering}, author = {Malay Singh and Uma Shanker Tiwary and Tanveer J. Siddiqui}, doi = {10.1109/MSPCT.2013.6782085}, year = {2013}, date = {2013-11-01}, booktitle = {Multimedia, Signal Processing and Communication Technologies (IMPACT), 2013 International Conference on}, pages = {46-50}, keywords = {Adaptation models, audio file retrieval, audio query, audio signal processing, audio user interfaces, automatic speech recognition, CMUSphinx4 library, cognitive interactive framework, cognitive systems, continuous speech retrieval system, corpus, Dictionaries, Engines, fuzzy logic, fuzzy logic based reasoning, fuzzy word mesh, Hidden Markov models, Indian accent, information filtering, information retrieval engine, interactive systems, IR engine, knowledge based systems, knowledge-based filtering, lab environment, linguistic knowledge, natural language processing, query processing, relevant sentences retreival, software libraries, Speech, speech recognition, text analysis}, pubstate = {published}, tppubtype = {inproceedings} } |
Dhuliya, Anshuman; Tiwary, Uma Shanker An associative classifier based on the concept of analogy and human learning Inproceedings Multimedia, Signal Processing and Communication Technologies (IMPACT), 2013 International Conference on, pp. 297-301, 2013. Links | BibTeX | Tags: Accuracy, Artificial intelligence, artificial life, artificial life environment, associationism, associative classifier, associative processing, Biological neural networks, classification, cognition, complex classification datasets, History, human learning, inert cognition, Standards, Training @inproceedings{6782140, title = {An associative classifier based on the concept of analogy and human learning}, author = {Anshuman Dhuliya and Uma Shanker Tiwary}, doi = {10.1109/MSPCT.2013.6782140}, year = {2013}, date = {2013-11-01}, booktitle = {Multimedia, Signal Processing and Communication Technologies (IMPACT), 2013 International Conference on}, pages = {297-301}, keywords = {Accuracy, Artificial intelligence, artificial life, artificial life environment, associationism, associative classifier, associative processing, Biological neural networks, classification, cognition, complex classification datasets, History, human learning, inert cognition, Standards, Training}, pubstate = {published}, tppubtype = {inproceedings} } |
2012 |
Kumar, Avanish; Tiwary, Uma Shanker; Siddiqui, Tanveer J Combining Words and Pictures for Museum Information Retrieval Inproceedings IHCI, 2012. BibTeX | Tags: @inproceedings{Kumar2012CombiningWA, title = {Combining Words and Pictures for Museum Information Retrieval}, author = {Avanish Kumar and Uma Shanker Tiwary and Tanveer J. Siddiqui}, year = {2012}, date = {2012-01-01}, booktitle = {IHCI}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } |
2011 |
Verma, Gyanendra Kumar; Tiwary, Uma Shanker; Rai, Mahendra Kumar Facial Emotion Recognition Using Different Multi-resolution Transforms Book Chapter Abraham, Ajith; Mauri, Jaime Lloret; Buford, John F; Suzuki, Junichi; Thampi, Sabu M (Ed.): Advances in Computing and Communications: First International Conference, ACC 2011, Kochi, India, July 22-24, 2011, Proceedings, Part III, pp. 469–477, Springer Berlin Heidelberg, Berlin, Heidelberg, 2011, ISBN: 978-3-642-22720-2. @inbook{Verma2011b, title = {Facial Emotion Recognition Using Different Multi-resolution Transforms}, author = {Gyanendra Kumar Verma and Uma Shanker Tiwary and Mahendra Kumar Rai}, editor = {Ajith Abraham and Jaime Lloret Mauri and John F. Buford and Junichi Suzuki and Sabu M. Thampi}, url = {http://dx.doi.org/10.1007/978-3-642-22720-2_49}, doi = {10.1007/978-3-642-22720-2_49}, isbn = {978-3-642-22720-2}, year = {2011}, date = {2011-01-01}, booktitle = {Advances in Computing and Communications: First International Conference, ACC 2011, Kochi, India, July 22-24, 2011, Proceedings, Part III}, pages = {469--477}, publisher = {Springer Berlin Heidelberg}, address = {Berlin, Heidelberg}, keywords = {}, pubstate = {published}, tppubtype = {inbook} } |
Verma, Gyanendra Kumar; Tiwary, Uma Shanker; Agrawal, Shaishav Multi-algorithm Fusion for Speech Emotion Recognition Book Chapter Abraham, Ajith; Mauri, Jaime Lloret; Buford, John F; Suzuki, Junichi; Thampi, Sabu M (Ed.): Advances in Computing and Communications: First International Conference, ACC 2011, Kochi, India, July 22-24, 2011, Proceedings, Part III, pp. 452–459, Springer Berlin Heidelberg, Berlin, Heidelberg, 2011, ISBN: 978-3-642-22720-2. @inbook{Verma2011, title = {Multi-algorithm Fusion for Speech Emotion Recognition}, author = {Gyanendra Kumar Verma and Uma Shanker Tiwary and Shaishav Agrawal}, editor = {Ajith Abraham and Jaime Lloret Mauri and John F. Buford and Junichi Suzuki and Sabu M. Thampi}, url = {http://dx.doi.org/10.1007/978-3-642-22720-2_47}, doi = {10.1007/978-3-642-22720-2_47}, isbn = {978-3-642-22720-2}, year = {2011}, date = {2011-01-01}, booktitle = {Advances in Computing and Communications: First International Conference, ACC 2011, Kochi, India, July 22-24, 2011, Proceedings, Part III}, pages = {452--459}, publisher = {Springer Berlin Heidelberg}, address = {Berlin, Heidelberg}, keywords = {}, pubstate = {published}, tppubtype = {inbook} } |
2010 |
Bakul, Gohel; Tiwary, Uma Shanker Automated Risk Identification of Myocardial Infarction Using Relative Frequency Band Coefficient (RFBC) Features from ECG Journal Article Open Biomed Eng J, 4 , pp. 217-222, 2010, ISSN: 1874-1207, (TOBEJ-4-217[PII]). Abstract | Links | BibTeX | Tags: @article{Bakul2010, title = {Automated Risk Identification of Myocardial Infarction Using Relative Frequency Band Coefficient (RFBC) Features from ECG}, author = {Gohel Bakul and Uma Shanker Tiwary}, url = {https://www.ncbi.nlm.nih.gov/pubmed/21625645}, doi = {10.2174/1874120701004010217}, issn = {1874-1207}, year = {2010}, date = {2010-10-10}, journal = {Open Biomed Eng J}, volume = {4}, pages = {217-222}, publisher = {Bentham Open}, abstract = {Various structural and functional changes associated with ischemic (myocardial infarcted) heart cause amplitude and spectral changes in signals obtained at different leads of ECG. In order to capture these changes, Relative Frequency Band Coefficient (RFBC) features from 12-lead ECG have been proposed and used for automated identification of myocardial infarction risk. RFBC features reduces the effect of subject variabilty in body composition on the amplitude dependent features. The proposed method is evaluated on ECG data from PTB diagnostic database using support vector machine as classifier. The promising result suggests that the proposed RFBC features may be used in the screening and clinical decision support system for myocardial infarction.}, note = {TOBEJ-4-217[PII]}, keywords = {}, pubstate = {published}, tppubtype = {article} } Various structural and functional changes associated with ischemic (myocardial infarcted) heart cause amplitude and spectral changes in signals obtained at different leads of ECG. In order to capture these changes, Relative Frequency Band Coefficient (RFBC) features from 12-lead ECG have been proposed and used for automated identification of myocardial infarction risk. RFBC features reduces the effect of subject variabilty in body composition on the amplitude dependent features. The proposed method is evaluated on ECG data from PTB diagnostic database using support vector machine as classifier. The promising result suggests that the proposed RFBC features may be used in the screening and clinical decision support system for myocardial infarction. |
KHARE, ASHISH; Tiwary, Uma Shanker; Pedrycz, Witold; Jeon, Moongu Multilevel adaptive thresholding and shrinkage technique for denoising using Daubechies complex wavelet transform Journal Article The Imaging Science Journal, 58 (6), pp. 340-358, 2010. Abstract | Links | BibTeX | Tags: @article{doi:10.1179/136821910X12750339175826, title = {Multilevel adaptive thresholding and shrinkage technique for denoising using Daubechies complex wavelet transform}, author = {ASHISH KHARE and Uma Shanker Tiwary and Witold Pedrycz and Moongu Jeon}, url = {https://doi.org/10.1179/136821910X12750339175826}, doi = {10.1179/136821910X12750339175826}, year = {2010}, date = {2010-01-01}, journal = {The Imaging Science Journal}, volume = {58}, number = {6}, pages = {340-358}, publisher = {Taylor & Francis}, abstract = {AbstractIn this paper, we have proposed a multilevel soft thresholding technique for noise removal in Daubechies complex wavelet transform domain. Two useful properties of Daubechies complex wavelet transform, approximate shift invariance and strong edge representation, have been explored. Most of the uncorrelated noise gets removed by shrinking complex wavelet coefficients at the lowest level, while correlated noise gets removed by only a fraction at lower levels, so we used multilevel thresholding and shrinkage on complex wavelet coefficients. The proposed method firstly detects strong edges using imaginary components of complex coefficients and then applies multilevel thresholding and shrinkage on complex wavelet coefficients in the wavelet domain at non-edge points. The proposed threshold depends on the variance of wavelet coefficients, the mean and the median of absolute wavelet coefficients at a particular level. Dependence of these parameters makes this method adaptive in nature. Results obtained for one-dimensional signals and two-dimensional images demonstrate an improved denoising performance over other related methods available in the literature.}, keywords = {}, pubstate = {published}, tppubtype = {article} } AbstractIn this paper, we have proposed a multilevel soft thresholding technique for noise removal in Daubechies complex wavelet transform domain. Two useful properties of Daubechies complex wavelet transform, approximate shift invariance and strong edge representation, have been explored. Most of the uncorrelated noise gets removed by shrinking complex wavelet coefficients at the lowest level, while correlated noise gets removed by only a fraction at lower levels, so we used multilevel thresholding and shrinkage on complex wavelet coefficients. The proposed method firstly detects strong edges using imaginary components of complex coefficients and then applies multilevel thresholding and shrinkage on complex wavelet coefficients in the wavelet domain at non-edge points. The proposed threshold depends on the variance of wavelet coefficients, the mean and the median of absolute wavelet coefficients at a particular level. Dependence of these parameters makes this method adaptive in nature. Results obtained for one-dimensional signals and two-dimensional images demonstrate an improved denoising performance over other related methods available in the literature. |
Singh, Manoj Kumar; Kim, Won-Gyum; Tiwary, Uma Shanker; Lee, Seok-Jae; Cho, Dong-Rae; Kim, Yong Hoon Optical performance analysis using a point spread function and modulation transfer function for W-band pmmw imaging system based on quasi optics focused array of dielectric rod waveguide antenna Journal Article Progress In Electromagnetics Research, 23 , pp. 273–291, 2010. BibTeX | Tags: @article{singh2010optical, title = {Optical performance analysis using a point spread function and modulation transfer function for W-band pmmw imaging system based on quasi optics focused array of dielectric rod waveguide antenna}, author = {Manoj Kumar Singh and Won-Gyum Kim and Uma Shanker Tiwary and Seok-Jae Lee and Dong-Rae Cho and Yong Hoon Kim}, year = {2010}, date = {2010-01-01}, journal = {Progress In Electromagnetics Research}, volume = {23}, pages = {273--291}, publisher = {EMW Publishing}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
2009 |
Jalal, Anand Singh; Tiwary, Uma Shanker A Robust Object Tracking Method for Noisy Video using Rough Entropy in Wavelet Domain Inproceedings Tiwary, Uma Shanker; Siddiqui, Tanveer J; Radhakrishna, M; Tiwari, M D (Ed.): Proceedings of the First International Conference on Intelligent Human Computer Interaction, pp. 113–122, Springer India, New Delhi, 2009, ISBN: 978-81-8489-203-1. @inproceedings{10.1007/978-81-8489-203-1_9, title = {A Robust Object Tracking Method for Noisy Video using Rough Entropy in Wavelet Domain}, author = {Anand Singh Jalal and Uma Shanker Tiwary}, editor = {Uma Shanker Tiwary and Tanveer J. Siddiqui and M. Radhakrishna and M. D. Tiwari}, isbn = {978-81-8489-203-1}, year = {2009}, date = {2009-01-01}, booktitle = {Proceedings of the First International Conference on Intelligent Human Computer Interaction}, pages = {113--122}, publisher = {Springer India}, address = {New Delhi}, abstract = {In this paper we have proposed a robust object tracking method using rough entropy and flux in wavelet domain. The tracking framework necessitates robust and efficient but accurate methods for segmentation and matching. The object is represented in wavelet domain features to minimize the effect of frame to frame variations and noise. The concept of maximizing rough entropy in wavelet domain helps in finding out the threshold value to make a distinction between the object and the background pixels in a vague situation. The search for the candidate subframe is made fast by using the motion prediction algorithm. A measure based on flux in wavelet domain combined with the number of pixels in the object has been developed. The proposed tracking algorithm yields better results even in noisy video as shown in the experiments. The results show that the wavelet domain segmentation and tracking improves the localization error approximately by 5--7%.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } In this paper we have proposed a robust object tracking method using rough entropy and flux in wavelet domain. The tracking framework necessitates robust and efficient but accurate methods for segmentation and matching. The object is represented in wavelet domain features to minimize the effect of frame to frame variations and noise. The concept of maximizing rough entropy in wavelet domain helps in finding out the threshold value to make a distinction between the object and the background pixels in a vague situation. The search for the candidate subframe is made fast by using the motion prediction algorithm. A measure based on flux in wavelet domain combined with the number of pixels in the object has been developed. The proposed tracking algorithm yields better results even in noisy video as shown in the experiments. The results show that the wavelet domain segmentation and tracking improves the localization error approximately by 5--7%. |
Jalal, Anand Singh; Tiwary, Uma Shanker A Robust Object Tracking Method Using Structural Similarity in Daubechies Complex Wavelet Domain Book Chapter Chaudhury, Santanu; Mitra, Sushmita; Murthy, C A; Sastry, P S; Pal, Sankar K (Ed.): Pattern Recognition and Machine Intelligence: Third International Conference, PReMI 2009 New Delhi, India, December 16-20, 2009 Proceedings, pp. 315–320, Springer Berlin Heidelberg, Berlin, Heidelberg, 2009, ISBN: 978-3-642-11164-8. @inbook{Jalal2009, title = {A Robust Object Tracking Method Using Structural Similarity in Daubechies Complex Wavelet Domain}, author = {Anand Singh Jalal and Uma Shanker Tiwary}, editor = {Santanu Chaudhury and Sushmita Mitra and C A Murthy and P S Sastry and Sankar K Pal}, url = {http://dx.doi.org/10.1007/978-3-642-11164-8_51}, doi = {10.1007/978-3-642-11164-8_51}, isbn = {978-3-642-11164-8}, year = {2009}, date = {2009-01-01}, booktitle = {Pattern Recognition and Machine Intelligence: Third International Conference, PReMI 2009 New Delhi, India, December 16-20, 2009 Proceedings}, pages = {315--320}, publisher = {Springer Berlin Heidelberg}, address = {Berlin, Heidelberg}, keywords = {}, pubstate = {published}, tppubtype = {inbook} } |
Singh, Manoj Kumar; Kim, Yong Hoon; Tiwary, Uma Shanker; Prasad, Rajkishore; Siddiqui, Tanveer J Adaptive Acceleration of MAP with Entropy Prior and Flux Conservation for Image Deblurring Inproceedings Tiwary, Uma Shanker; Siddiqui, Tanveer J; Radhakrishna, M; Tiwari, M D (Ed.): Proceedings of the First International Conference on Intelligent Human Computer Interaction, pp. 212–220, Springer India, New Delhi, 2009, ISBN: 978-81-8489-203-1. @inproceedings{10.1007/978-81-8489-203-1_20, title = {Adaptive Acceleration of MAP with Entropy Prior and Flux Conservation for Image Deblurring}, author = {Manoj Kumar Singh and Yong Hoon Kim and Uma Shanker Tiwary and Rajkishore Prasad and Tanveer J. Siddiqui}, editor = {Uma Shanker Tiwary and Tanveer J. Siddiqui and M. Radhakrishna and M. D. Tiwari}, isbn = {978-81-8489-203-1}, year = {2009}, date = {2009-01-01}, booktitle = {Proceedings of the First International Conference on Intelligent Human Computer Interaction}, pages = {212--220}, publisher = {Springer India}, address = {New Delhi}, abstract = {In this paper we present and adaptive method for accelerating conventional Maximum a Posteriori (MAP) with Entropy prior (MAPE) method for restoration of an original image from its blurred and noisy version. MAPE method is nonlinear and its convergence is very slow. We present a new method to accelerate the MAPE algorithm by using an exponent on the correction ratio. In this method the exponent is computed adaptively in each iteration, using first-order derivatives of deblurred images in previous two iterations. The exponent obtained so in the proposed accelerated MAPE algorithm emphasizes speed at the beginning stages and stability at later stages. In the accelerated MAPE algorithm the non-negativity is automatically ensured and also conservation of flux without additional computation. The proposed accelerated MAPE algorithm gives better results in terms of RMSE, SNR, moreover, it takes 46% lesser iterations than conventional MAPE.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } In this paper we present and adaptive method for accelerating conventional Maximum a Posteriori (MAP) with Entropy prior (MAPE) method for restoration of an original image from its blurred and noisy version. MAPE method is nonlinear and its convergence is very slow. We present a new method to accelerate the MAPE algorithm by using an exponent on the correction ratio. In this method the exponent is computed adaptively in each iteration, using first-order derivatives of deblurred images in previous two iterations. The exponent obtained so in the proposed accelerated MAPE algorithm emphasizes speed at the beginning stages and stability at later stages. In the accelerated MAPE algorithm the non-negativity is automatically ensured and also conservation of flux without additional computation. The proposed accelerated MAPE algorithm gives better results in terms of RMSE, SNR, moreover, it takes 46% lesser iterations than conventional MAPE. |
Varma, Shirshu; Tiwary, Uma Shanker Data Aggregation in Cluster based Wireless Sensor Networks Inproceedings Tiwary, Uma Shanker; Siddiqui, Tanveer J; Radhakrishna, M; Tiwari, M D (Ed.): Proceedings of the First International Conference on Intelligent Human Computer Interaction, pp. 391–400, Springer India, New Delhi, 2009, ISBN: 978-81-8489-203-1. @inproceedings{10.1007/978-81-8489-203-1_37, title = {Data Aggregation in Cluster based Wireless Sensor Networks}, author = {Shirshu Varma and Uma Shanker Tiwary}, editor = {Uma Shanker Tiwary and Tanveer J. Siddiqui and M. Radhakrishna and M. D. Tiwari}, isbn = {978-81-8489-203-1}, year = {2009}, date = {2009-01-01}, booktitle = {Proceedings of the First International Conference on Intelligent Human Computer Interaction}, pages = {391--400}, publisher = {Springer India}, address = {New Delhi}, abstract = {A wireless sensor network is a wireless network, in which we basically use tiny devices which monitor physical or environmental conditions at different regions. Thus the wireless sensor network basically comprises of sensing, communicating, computing, programming and control ingredients. We can design and configure sensor network applications designed that have better fault tolerance. In most applications sensor networks are deployed once and operate for a long period of time. In this respect managing and maintaining wireless sensor network becomes an important task. However, the problem of limited energy constraint presents a major challenge for the network deployment. Hence it clearly follows that in order to gather information from node to node we require data forwarding protocol. So the aim of any data forwarding protocol is to conserve energy to maximize the network lifetime. Sensor nodes are capable of performing in-network aggregation of data coming from more than one source. In this paper we have concentrated on energy consumption issue and designed energy efficient data aggregation protocol named EBINA. Thus protocol using a cluster-based wireless sensor network is more relevant. Each cluster is executed independently and thus we obtain an energy efficiently data, which finally is aggregated in a cluster by this the lifetime of the cluster is also increased. We have used Network Simulator 2(NS-2) for simulating the protocol.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } A wireless sensor network is a wireless network, in which we basically use tiny devices which monitor physical or environmental conditions at different regions. Thus the wireless sensor network basically comprises of sensing, communicating, computing, programming and control ingredients. We can design and configure sensor network applications designed that have better fault tolerance. In most applications sensor networks are deployed once and operate for a long period of time. In this respect managing and maintaining wireless sensor network becomes an important task. However, the problem of limited energy constraint presents a major challenge for the network deployment. Hence it clearly follows that in order to gather information from node to node we require data forwarding protocol. So the aim of any data forwarding protocol is to conserve energy to maximize the network lifetime. Sensor nodes are capable of performing in-network aggregation of data coming from more than one source. In this paper we have concentrated on energy consumption issue and designed energy efficient data aggregation protocol named EBINA. Thus protocol using a cluster-based wireless sensor network is more relevant. Each cluster is executed independently and thus we obtain an energy efficiently data, which finally is aggregated in a cluster by this the lifetime of the cluster is also increased. We have used Network Simulator 2(NS-2) for simulating the protocol. |
KHARE, ASHISH; TIWARY, UMA SHANKER; JEON, MOONGU Daubechies complex wavelet transform based multilevel shrinkage for deblurring of medical images in presence of noise Journal Article International Journal of Wavelets, Multiresolution and Information Processing, 07 (05), pp. 587-604, 2009. Abstract | Links | BibTeX | Tags: @article{doi:10.1142/S0219691309003100, title = {Daubechies complex wavelet transform based multilevel shrinkage for deblurring of medical images in presence of noise}, author = {ASHISH KHARE and UMA SHANKER TIWARY and MOONGU JEON}, url = {https://doi.org/10.1142/S0219691309003100}, doi = {10.1142/S0219691309003100}, year = {2009}, date = {2009-01-01}, journal = {International Journal of Wavelets, Multiresolution and Information Processing}, volume = {07}, number = {05}, pages = {587-604}, abstract = {Deblurring in the presence of noise is a hard problem, especially in ultrasonic and CT images. In this paper, we propose a new method of image deblurring in presence of noise, using symmetric Daubechies complex wavelet transform. The proposed method is based on shrinkage of multilevel Daubechies complex wavelet coefficients, and is adaptive as it uses shrinkage function based on the variance of wavelet coefficients as well as the mean and the median of absolute wavelet coefficients at a particular level. The results obtained after the application of the proposed method demonstrate an improved performance over other related methods available in literature.}, keywords = {}, pubstate = {published}, tppubtype = {article} } Deblurring in the presence of noise is a hard problem, especially in ultrasonic and CT images. In this paper, we propose a new method of image deblurring in presence of noise, using symmetric Daubechies complex wavelet transform. The proposed method is based on shrinkage of multilevel Daubechies complex wavelet coefficients, and is adaptive as it uses shrinkage function based on the variance of wavelet coefficients as well as the mean and the median of absolute wavelet coefficients at a particular level. The results obtained after the application of the proposed method demonstrate an improved performance over other related methods available in literature. |
Singh, Dhananjay; Tiwary, Uma Shanker; Lee, Hoon Jae; Chung, Wan Young Global healthcare monitoring system using 6lowpan networks Inproceedings Advanced Communication Technology, 2009. ICACT 2009. 11th International Conference on, pp. 113-117, 2009, ISSN: 1738-9445. BibTeX | Tags: 6lowpan, Bioinformatics, biomedical data, Biomedical monitoring, biomedical sensors, biomedical telemetry, Biosensors, body area networks, Electrocardiography, global healthcare monitoring system, Healthcare, high level computational multihop communication method, IP networks, IP-address, IPv6 low power wireless personal area networks, low routing protocols, Medical services, modified AODV protocol, Monitoring, NS-2.33 simulator, packet delivery ratio, PAN, patient body area networks, Patient monitoring, personal area networks, pervasive 6lowpan networks, Routing, routing protocols, Sensor systems and applications, service provider, Temperature sensors, wireless networking, wireless sensor networks @inproceedings{4809914, title = {Global healthcare monitoring system using 6lowpan networks}, author = {Dhananjay Singh and Uma Shanker Tiwary and Hoon Jae Lee and Wan Young Chung}, issn = {1738-9445}, year = {2009}, date = {2009-02-01}, booktitle = {Advanced Communication Technology, 2009. ICACT 2009. 11th International Conference on}, volume = {01}, pages = {113-117}, keywords = {6lowpan, Bioinformatics, biomedical data, Biomedical monitoring, biomedical sensors, biomedical telemetry, Biosensors, body area networks, Electrocardiography, global healthcare monitoring system, Healthcare, high level computational multihop communication method, IP networks, IP-address, IPv6 low power wireless personal area networks, low routing protocols, Medical services, modified AODV protocol, Monitoring, NS-2.33 simulator, packet delivery ratio, PAN, patient body area networks, Patient monitoring, personal area networks, pervasive 6lowpan networks, Routing, routing protocols, Sensor systems and applications, service provider, Temperature sensors, wireless networking, wireless sensor networks}, pubstate = {published}, tppubtype = {inproceedings} } |
Singh, Dhananjay; Kew, Hsein Ping; Tiwary, Uma Shanker; Lee, Hoon Jae; Chung, Wan Young Global Patient Monitoring System Using IP-Enabled Ubiquitous Sensor Network Inproceedings 2009 WRI World Congress on Computer Science and Information Engineering, pp. 524-528, 2009. Abstract | Links | BibTeX | Tags: @inproceedings{5171226, title = {Global Patient Monitoring System Using IP-Enabled Ubiquitous Sensor Network}, author = {Dhananjay Singh and Hsein Ping Kew and Uma Shanker Tiwary and Hoon Jae Lee and Wan Young Chung}, doi = {10.1109/CSIE.2009.921}, year = {2009}, date = {2009-03-01}, booktitle = {2009 WRI World Congress on Computer Science and Information Engineering}, volume = {1}, pages = {524-528}, abstract = {The link layer routing protocols 6lowpan ad hoc on-demand distance vector routing (LOAD) and dynamic MANET on-demand for 6lowpan (DYMO-low) are integrated in 6lowpan stack. The stack is less complicated and it support IPv6 enabled packets route for biomedical data. Both routing protocols are modified and developed new approach for patient healthcare monitoring system. Thus, proposed integration method is more reliable speedily in healthcare monitoring system than existing protocol in 6lowpans. Mesh routing components are introduced to enable messages to deliver around the nodes. Itpsilas a new approach to monitor patients globally and analysis healthcare biomedical data, even though the doctors and patients both are fart in distance. During emergency cases, doctor able to monitor patient condition efficiently to reduce time consuming, thus is provider more effective healthcare system. For real-time testing, dummy biomedical data are used in IP-based ubiquitous sensor nodes and gateway. Real-time implementation results are show for the integration protocol and it is more reliable in compare to other 6lowpan protocols.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } The link layer routing protocols 6lowpan ad hoc on-demand distance vector routing (LOAD) and dynamic MANET on-demand for 6lowpan (DYMO-low) are integrated in 6lowpan stack. The stack is less complicated and it support IPv6 enabled packets route for biomedical data. Both routing protocols are modified and developed new approach for patient healthcare monitoring system. Thus, proposed integration method is more reliable speedily in healthcare monitoring system than existing protocol in 6lowpans. Mesh routing components are introduced to enable messages to deliver around the nodes. Itpsilas a new approach to monitor patients globally and analysis healthcare biomedical data, even though the doctors and patients both are fart in distance. During emergency cases, doctor able to monitor patient condition efficiently to reduce time consuming, thus is provider more effective healthcare system. For real-time testing, dummy biomedical data are used in IP-based ubiquitous sensor nodes and gateway. Real-time implementation results are show for the integration protocol and it is more reliable in compare to other 6lowpan protocols. |
Singh, Dhananjay; Singh, Sanjay; Singh, Madhusudan; Kew, Hsein Ping; Jeoung, Do Un; Tiwary, Uma Shanker; Lee, Hoon Jae IP-based ubiquitous sensor network for in-home healthcare monitoring Inproceedings Multimedia, Signal Processing and Communication Technologies, 2009. IMPACT '09. International, pp. 201-204, 2009. Links | BibTeX | Tags: Bioinformatics, biomedical ECG signals, Biomedical monitoring, Communication networks, Electrocardiography, gateway internet, health care, in-home healthcare monitoring, Internet, IP-based ubiquitous sensor network, low power wireless personal area networks, LoWPAN, Medical services, medical signal processing, Patient monitoring, personal area networks, Prototypes, routing protocols, ubiquitous computing, wireless connectivity, Wireless personal area networks, wireless sensor networks @inproceedings{5164210, title = {IP-based ubiquitous sensor network for in-home healthcare monitoring}, author = {Dhananjay Singh and Sanjay Singh and Madhusudan Singh and Hsein Ping Kew and Do Un Jeoung and Uma Shanker Tiwary and Hoon Jae Lee}, doi = {10.1109/MSPCT.2009.5164210}, year = {2009}, date = {2009-03-01}, booktitle = {Multimedia, Signal Processing and Communication Technologies, 2009. IMPACT '09. International}, pages = {201-204}, keywords = {Bioinformatics, biomedical ECG signals, Biomedical monitoring, Communication networks, Electrocardiography, gateway internet, health care, in-home healthcare monitoring, Internet, IP-based ubiquitous sensor network, low power wireless personal area networks, LoWPAN, Medical services, medical signal processing, Patient monitoring, personal area networks, Prototypes, routing protocols, ubiquitous computing, wireless connectivity, Wireless personal area networks, wireless sensor networks}, pubstate = {published}, tppubtype = {inproceedings} } |
Radhakrishna, M; Tiwary, Uma Shanker Proceedings of Fifth IEEE Conference on Wireless Communication and Sensor Networks (WCSN 2009) Book IEEE, 2009. BibTeX | Tags: @book{10.1109/WCSN.2009, title = {Proceedings of Fifth IEEE Conference on Wireless Communication and Sensor Networks (WCSN 2009)}, author = {M Radhakrishna and Uma Shanker Tiwary}, year = {2009}, date = {2009-01-01}, publisher = {IEEE}, keywords = {}, pubstate = {published}, tppubtype = {book} } |
2008 |
Singh, Manoj Kumar; Tiwary, Uma Shanker; Kim, Yong Hoon An Adaptively Accelerated Bayesian Deblurring Method with Entropy Prior Journal Article EURASIP Journal on Advances in Signal Processing, 2008 (1), pp. 674038, 2008, ISSN: 1687-6180. Abstract | Links | BibTeX | Tags: @article{Singh2008, title = {An Adaptively Accelerated Bayesian Deblurring Method with Entropy Prior}, author = {Manoj Kumar Singh and Uma Shanker Tiwary and Yong Hoon Kim}, url = {http://dx.doi.org/10.1155/2008/674038}, doi = {10.1155/2008/674038}, issn = {1687-6180}, year = {2008}, date = {2008-01-01}, journal = {EURASIP Journal on Advances in Signal Processing}, volume = {2008}, number = {1}, pages = {674038}, abstract = {The development of an efficient adaptively accelerated iterative deblurring algorithm based on Bayesian statistical concept has been reported. Entropy of an image has been used as a ``prior'' distribution and instead of additive form, used in conventional acceleration methods an exponent form of relaxation constant has been used for acceleration. Thus the proposed method is called hereafter as adaptively accelerated maximum a posteriori with entropy prior (AAMAPE). Based on empirical observations in different experiments, the exponent is computed adaptively using first-order derivatives of the deblurred image from previous two iterations. This exponent improves speed of the AAMAPE method in early stages and ensures stability at later stages of iteration. In AAMAPE method, we also consider the constraint of the nonnegativity and flux conservation. The paper discusses the fundamental idea of the Bayesian image deblurring with the use of entropy as prior, and the analytical analysis of superresolution and the noise amplification characteristics of the proposed method. The experimental results show that the proposed AAMAPE method gives lower RMSE and higher SNR in 44% lesser iterations as compared to nonaccelerated maximum a posteriori with entropy prior (MAPE) method. Moreover, AAMAPE followed by wavelet wiener filtering gives better result than the state-of-the-art methods.}, keywords = {}, pubstate = {published}, tppubtype = {article} } The development of an efficient adaptively accelerated iterative deblurring algorithm based on Bayesian statistical concept has been reported. Entropy of an image has been used as a ``prior'' distribution and instead of additive form, used in conventional acceleration methods an exponent form of relaxation constant has been used for acceleration. Thus the proposed method is called hereafter as adaptively accelerated maximum a posteriori with entropy prior (AAMAPE). Based on empirical observations in different experiments, the exponent is computed adaptively using first-order derivatives of the deblurred image from previous two iterations. This exponent improves speed of the AAMAPE method in early stages and ensures stability at later stages of iteration. In AAMAPE method, we also consider the constraint of the nonnegativity and flux conservation. The paper discusses the fundamental idea of the Bayesian image deblurring with the use of entropy as prior, and the analytical analysis of superresolution and the noise amplification characteristics of the proposed method. The experimental results show that the proposed AAMAPE method gives lower RMSE and higher SNR in 44% lesser iterations as compared to nonaccelerated maximum a posteriori with entropy prior (MAPE) method. Moreover, AAMAPE followed by wavelet wiener filtering gives better result than the state-of-the-art methods. |
Singh, Manoj Kumar; Tiwary, Uma Shanker; kim, Yong Hoon An Adaptively Accelerated Lucy-Richardson Method for Image Deblurring Journal Article EURASIP J. Adv. Signal Process, 2008 , pp. 52:1–52:10, 2008, ISSN: 1110-8657. @article{Singh:2008:AAL:1376536.1376547, title = {An Adaptively Accelerated Lucy-Richardson Method for Image Deblurring}, author = {Manoj Kumar Singh and Uma Shanker Tiwary and Yong Hoon kim}, url = {http://dx.doi.org/10.1155/2008/365021}, doi = {10.1155/2008/365021}, issn = {1110-8657}, year = {2008}, date = {2008-01-01}, journal = {EURASIP J. Adv. Signal Process}, volume = {2008}, pages = {52:1--52:10}, publisher = {Hindawi Publishing Corp.}, address = {New York, NY, United States}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Varma, Shirshu; Nigam, Neelam; Tiwary, Uma Shanker Base station initiated dynamic routing protocol for Heterogeneous Wireless Sensor Network using clustering Inproceedings Wireless Communication and Sensor Networks, 2008. WCSN 2008. Fourth International Conference on, pp. 1-6, 2008. Links | BibTeX | Tags: Algorithm design and analysis, base station initiated dynamic routing protocol, Base stations, heterogeneous wireless sensor network, Knowledge management, LEACH, LEACHC, Mobile computing, Peer to peer computing, PEGASIS, Pervasive computing, routing protocols, Sun, Web services, wireless sensor networks @inproceedings{4772672, title = {Base station initiated dynamic routing protocol for Heterogeneous Wireless Sensor Network using clustering}, author = {Shirshu Varma and Neelam Nigam and Uma Shanker Tiwary}, doi = {10.1109/WCSN.2008.4772672}, year = {2008}, date = {2008-12-01}, booktitle = {Wireless Communication and Sensor Networks, 2008. WCSN 2008. Fourth International Conference on}, pages = {1-6}, keywords = {Algorithm design and analysis, base station initiated dynamic routing protocol, Base stations, heterogeneous wireless sensor network, Knowledge management, LEACH, LEACHC, Mobile computing, Peer to peer computing, PEGASIS, Pervasive computing, routing protocols, Sun, Web services, wireless sensor networks}, pubstate = {published}, tppubtype = {inproceedings} } |
Tiwary, Uma Shanker; Singh, Deepak Kumar; Gupta, Priya Face recognition using facial expression: a novel approach Journal Article 6982 , 2008. Abstract | Links | BibTeX | Tags: @article{10.1117/12.777592, title = {Face recognition using facial expression: a novel approach}, author = {Uma Shanker Tiwary and Deepak Kumar Singh and Priya Gupta}, url = {https://doi.org/10.1117/12.777592}, doi = {10.1117/12.777592}, year = {2008}, date = {2008-04-01}, volume = {6982}, abstract = {Facial expressions are undoubtedly the most effective nonverbal communication. The face has always been the equation of a person's identity. The face draws the demarcation line between identity and extinction. Each line on the face adds an attribute to the identity. These lines become prominent when we experience an emotion and these lines do not change completely with age. In this paper we have proposed a new technique for face recognition which focuses on the facial expressions of the subject to identify his face. This is a grey area on which not much light has been thrown earlier. According to earlier researches it is difficult to alter the natural expression. So our technique will be beneficial for identifying occluded or intentionally disguised faces. The test results of the experiments conducted prove that this technique will give a new direction in the field of face recognition. This technique will provide a strong base to the area of face recognition and will be used as the core method for critical defense security related issues.}, keywords = {}, pubstate = {published}, tppubtype = {article} } Facial expressions are undoubtedly the most effective nonverbal communication. The face has always been the equation of a person's identity. The face draws the demarcation line between identity and extinction. Each line on the face adds an attribute to the identity. These lines become prominent when we experience an emotion and these lines do not change completely with age. In this paper we have proposed a new technique for face recognition which focuses on the facial expressions of the subject to identify his face. This is a grey area on which not much light has been thrown earlier. According to earlier researches it is difficult to alter the natural expression. So our technique will be beneficial for identifying occluded or intentionally disguised faces. The test results of the experiments conducted prove that this technique will give a new direction in the field of face recognition. This technique will provide a strong base to the area of face recognition and will be used as the core method for critical defense security related issues. |
Singh, Dhananjay; Tiwary, Uma Shanker IP-based ubiquitous healthcare system Inproceedings 2008 International Conference on Control, Automation and Systems, pp. 131-136, 2008. Abstract | Links | BibTeX | Tags: @inproceedings{4694538, title = {IP-based ubiquitous healthcare system}, author = {Dhananjay Singh and Uma Shanker Tiwary}, doi = {10.1109/ICCAS.2008.4694538}, year = {2008}, date = {2008-10-01}, booktitle = {2008 International Conference on Control, Automation and Systems}, pages = {131-136}, abstract = {This paper presents a new concept of MAC and LOAD protocols for IP based ubiquitous healthcare system. The system used IEEE 802.15.4 standard lowpan with integrated IPv6. For healthcare system we added LOAD (6lowpan Ad-hoc on Demand Distance Vector) and MAC (Medium Access Control) protocols in Harvanpsilas 6lowpan stack. 6lowpan stack has ability to connect the physical environment in real-world applications such as healthcare, wireless sensor network, network technology etc. IP-enable motes set on the patient body for retrieving biomedical from body in PAN. PAN network connected PC via gateway or base station for further analysis or to the doctorpsilas PDA (personal digital assistant). The doctor can recognize or analysis patient data from anywhere on globe by internet service provider equipments (PDA). Result shows the performance biomedical data packets in multi-hope routing as well as represents the topology of the networks. TelosB motes were tested on octopus simulator in tinyOS2.02 for performance of biomedical data communication and network topology.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } This paper presents a new concept of MAC and LOAD protocols for IP based ubiquitous healthcare system. The system used IEEE 802.15.4 standard lowpan with integrated IPv6. For healthcare system we added LOAD (6lowpan Ad-hoc on Demand Distance Vector) and MAC (Medium Access Control) protocols in Harvanpsilas 6lowpan stack. 6lowpan stack has ability to connect the physical environment in real-world applications such as healthcare, wireless sensor network, network technology etc. IP-enable motes set on the patient body for retrieving biomedical from body in PAN. PAN network connected PC via gateway or base station for further analysis or to the doctorpsilas PDA (personal digital assistant). The doctor can recognize or analysis patient data from anywhere on globe by internet service provider equipments (PDA). Result shows the performance biomedical data packets in multi-hope routing as well as represents the topology of the networks. TelosB motes were tested on octopus simulator in tinyOS2.02 for performance of biomedical data communication and network topology. |
Tiwary, Uma Shanker; Siddiqui, Tanveer J Natural Language Processing and Information Retrieval Book Oxford University Press, Inc., New York, NY, USA, 2008, ISBN: 0195692322, 9780195692327. BibTeX | Tags: @book{Tiwary:2008:NLP:1481140, title = {Natural Language Processing and Information Retrieval}, author = {Uma Shanker Tiwary and Tanveer J. Siddiqui}, isbn = {0195692322, 9780195692327}, year = {2008}, date = {2008-01-01}, publisher = {Oxford University Press, Inc.}, address = {New York, NY, USA}, keywords = {}, pubstate = {published}, tppubtype = {book} } |
2007 |
Patel, Alkesh; Siddiqui, Tanveer J; Tiwary, Uma Shanker A Language Independent Approach to Multilingual Text Summarization Inproceedings Large Scale Semantic Access to Content (Text, Image, Video, and Sound), pp. 123–132, LE CENTRE DE HAUTES ETUDES INTERNATIONALES D'INFORMATIQUE DOCUMENTAIRE, Pittsburgh, Pennsylvania, 2007. Links | BibTeX | Tags: Coherence, content richness, degree of representativeness, fuzzy summary, partitioning, sentence reference index, theme features @inproceedings{Patel:2007:LIA:1931390.1931403, title = {A Language Independent Approach to Multilingual Text Summarization}, author = {Alkesh Patel and Tanveer J. Siddiqui and Uma Shanker Tiwary}, url = {http://dl.acm.org/citation.cfm?id=1931390.1931403}, year = {2007}, date = {2007-01-01}, booktitle = {Large Scale Semantic Access to Content (Text, Image, Video, and Sound)}, pages = {123--132}, publisher = {LE CENTRE DE HAUTES ETUDES INTERNATIONALES D'INFORMATIQUE DOCUMENTAIRE}, address = {Pittsburgh, Pennsylvania}, series = {RIAO '07}, keywords = {Coherence, content richness, degree of representativeness, fuzzy summary, partitioning, sentence reference index, theme features}, pubstate = {published}, tppubtype = {inproceedings} } |
Bindu, Maringanti Hima; Gupta, Priya; Tiwary, Uma Shanker Cognitive Model - Based Emotion Recognition From Facial Expressions For Live Human Computer Interaction Inproceedings Computational Intelligence in Image and Signal Processing, 2007. CIISP 2007. IEEE Symposium on, pp. 351-356, 2007. Links | BibTeX | Tags: 3D architecture, 3D cognitive model, cognition, Cognitive model, component vector, computer vision, Databases, emotion classification, emotion recognition, Emotions, face recognition, facial expressions, Gabor filters, Gabor wavelet transforms, human computer interaction, human emotions, image classification, Lighting, live human computer interaction, neural nets, neural network, Neural networks, pattern identification, principal component analysis, principle component analysis, Probability, reinforcing stimuli, stereo image processing, Testing, Uncertainty, wavelet transforms @inproceedings{4221444, title = {Cognitive Model - Based Emotion Recognition From Facial Expressions For Live Human Computer Interaction}, author = {Maringanti Hima Bindu and Priya Gupta and Uma Shanker Tiwary}, doi = {10.1109/CIISP.2007.369194}, year = {2007}, date = {2007-04-01}, booktitle = {Computational Intelligence in Image and Signal Processing, 2007. CIISP 2007. IEEE Symposium on}, pages = {351-356}, keywords = {3D architecture, 3D cognitive model, cognition, Cognitive model, component vector, computer vision, Databases, emotion classification, emotion recognition, Emotions, face recognition, facial expressions, Gabor filters, Gabor wavelet transforms, human computer interaction, human emotions, image classification, Lighting, live human computer interaction, neural nets, neural network, Neural networks, pattern identification, principal component analysis, principle component analysis, Probability, reinforcing stimuli, stereo image processing, Testing, Uncertainty, wavelet transforms}, pubstate = {published}, tppubtype = {inproceedings} } |
Singh, Dhananjay; Tiwary, Uma Shanker; Chung, Wan Young Connectivity of ubiquitous sensor network with fixed network Inproceedings Control, Automation and Systems, 2007. ICCAS '07. International Conference on, pp. 2378-2382, 2007. Links | BibTeX | Tags: Acoustic sensors, ad hoc networks, Ad-hoc, ad-hoc routing protocols, ad-hoc wireless sensor network, AODV protocol, Electronic mail, gateway detection, Internet, internetworking, IP networks, Mobile ad hoc networks, Mobile computing, mobile sensor nodes, Network Simulator, On-demand, portable devices, Routing, routing protocols, routing threats, Sensor phenomena and characterization, Sensor systems, Spread spectrum communication, ubiquitous sensor network, uncentralized infrastructure, Wireless application protocol, wireless multihop fixed network, wireless multihop Internet access, wireless sensor networks @inproceedings{4406759, title = {Connectivity of ubiquitous sensor network with fixed network}, author = {Dhananjay Singh and Uma Shanker Tiwary and Wan Young Chung}, doi = {10.1109/ICCAS.2007.4406759}, year = {2007}, date = {2007-10-01}, booktitle = {Control, Automation and Systems, 2007. ICCAS '07. International Conference on}, pages = {2378-2382}, keywords = {Acoustic sensors, ad hoc networks, Ad-hoc, ad-hoc routing protocols, ad-hoc wireless sensor network, AODV protocol, Electronic mail, gateway detection, Internet, internetworking, IP networks, Mobile ad hoc networks, Mobile computing, mobile sensor nodes, Network Simulator, On-demand, portable devices, Routing, routing protocols, routing threats, Sensor phenomena and characterization, Sensor systems, Spread spectrum communication, ubiquitous sensor network, uncentralized infrastructure, Wireless application protocol, wireless multihop fixed network, wireless multihop Internet access, wireless sensor networks}, pubstate = {published}, tppubtype = {inproceedings} } |
KHARE, ASHISH; Tiwary, Uma Shanker Daubechies Complex Wavelet Transform Based Moving Object Tracking Inproceedings 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, pp. 36-40, 2007. Abstract | Links | BibTeX | Tags: @inproceedings{4221391, title = {Daubechies Complex Wavelet Transform Based Moving Object Tracking}, author = {ASHISH KHARE and Uma Shanker Tiwary}, doi = {10.1109/CIISP.2007.369290}, year = {2007}, date = {2007-04-01}, booktitle = {2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing}, pages = {36-40}, abstract = {This paper describes a new method for moving object tracking, using complex wavelet transform. Real-valued wavelet transform is widely used in tracking applications, but it suffers from shift-sensitivity. Daubechies complex wavelet transform is more suitable for tracking due to approximate shift-invariance nature. The proposed method is intelligent enough to segment the object from a scene. Segmentation in the first frame has been done by computing multiscale correlation of imaginary component of complex wavelet coefficients and then object is tracked in next frames by computing the energy of complex wavelet coefficients corresponding to the object area and matching this energy to that of the neighborhood area. The proposed method is simple and does not require any other parameter except complex wavelet coefficients for segmentation as well as tracking}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } This paper describes a new method for moving object tracking, using complex wavelet transform. Real-valued wavelet transform is widely used in tracking applications, but it suffers from shift-sensitivity. Daubechies complex wavelet transform is more suitable for tracking due to approximate shift-invariance nature. The proposed method is intelligent enough to segment the object from a scene. Segmentation in the first frame has been done by computing multiscale correlation of imaginary component of complex wavelet coefficients and then object is tracked in next frames by computing the energy of complex wavelet coefficients corresponding to the object area and matching this energy to that of the neighborhood area. The proposed method is simple and does not require any other parameter except complex wavelet coefficients for segmentation as well as tracking |
Khare, Ashish; Tiwary, Uma Shanker Daubechies complex wavelet transform based technique for denoising of medical images Journal Article International Journal of Image and Graphics, 07 (04), pp. 663-687, 2007. @article{doi:10.1142/S0219467807002854, title = {Daubechies complex wavelet transform based technique for denoising of medical images}, author = {Ashish Khare and Uma Shanker Tiwary}, url = {http://www.worldscientific.com/doi/abs/10.1142/S0219467807002854}, doi = {10.1142/S0219467807002854}, year = {2007}, date = {2007-01-01}, journal = {International Journal of Image and Graphics}, volume = {07}, number = {04}, pages = {663-687}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Vyas, Ranjana; Sharma, Lokesh Kumar; Tiwary, Uma Shanker Exploring Spatial ARM (Spatial Association Rule Mining) for Geo-Decision Support System Journal Article Journal of Computer Science, 3 , 2007. @article{article, title = {Exploring Spatial ARM (Spatial Association Rule Mining) for Geo-Decision Support System}, author = {Ranjana Vyas and Lokesh Kumar Sharma and Uma Shanker Tiwary}, doi = {10.3844/jcssp.2007.882.886}, year = {2007}, date = {2007-01-01}, journal = {Journal of Computer Science}, volume = {3}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
2006 |
Siddiqui, Tanveer J; Tiwary, Uma Shanker A hybrid model to improve relevance in document retrieval Journal Article Journal of Digital Information Management, 4 , pp. 73 - 81, 2006, (Cited By (since 1996):2Export Date: 10 July 2014). Abstract | Links | BibTeX | Tags: CG-based retrieval model, High precision information retrieval model, Intelligent retrieval, Two-stage retrieval model @article{36, title = {A hybrid model to improve relevance in document retrieval}, author = {Tanveer J. Siddiqui and Uma Shanker Tiwary}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-33748252460&partnerID=40&md5=28fb109a6982827d4057e4947164916d}, year = {2006}, date = {2006-00-01}, journal = {Journal of Digital Information Management}, volume = {4}, pages = {73 - 81}, abstract = {In information retrieval community a lot of work is focused on increasing efficiency by capturing statistical features. The other dominant approach is to improve the relevance by capturing the semantic and contextual information which is invariably inefficient. Generally the two approaches are assumed to be diametrically opposite. In this paper we have tried to combine the two approaches by proposing a hybrid information retrieval model. The model works in two stages. The first stage is a statistical model and the second stage is based on semantics. We have first downsized the document collection for a given query using vector model and then used a conceptual graph (CG) based representation to rank the documents. Our main objective is to investigate the use of conceptual graphs as a precision tool in the second stage. The use of CGs brings semantic in the ranking process resulting in improved relevance. Three experiments have been conducted to demonstrate the feasibility and usefulness of our model. A test run is made on CACM-3204 collection. We observed 34.8% increase in precision for a subset of CACM queries. The second experiment is performed on a test collection specifically designed to test the strength of our model in situation where the same terms are being used in different context. Improved relevance has been observed in this case also. The application of this approach on results retrieved from LYCOS shown significant improvement. The proposed model is both efficient, scalable and domain independent.}, note = {Cited By (since 1996):2Export Date: 10 July 2014}, keywords = {CG-based retrieval model, High precision information retrieval model, Intelligent retrieval, Two-stage retrieval model}, pubstate = {published}, tppubtype = {article} } In information retrieval community a lot of work is focused on increasing efficiency by capturing statistical features. The other dominant approach is to improve the relevance by capturing the semantic and contextual information which is invariably inefficient. Generally the two approaches are assumed to be diametrically opposite. In this paper we have tried to combine the two approaches by proposing a hybrid information retrieval model. The model works in two stages. The first stage is a statistical model and the second stage is based on semantics. We have first downsized the document collection for a given query using vector model and then used a conceptual graph (CG) based representation to rank the documents. Our main objective is to investigate the use of conceptual graphs as a precision tool in the second stage. The use of CGs brings semantic in the ranking process resulting in improved relevance. Three experiments have been conducted to demonstrate the feasibility and usefulness of our model. A test run is made on CACM-3204 collection. We observed 34.8% increase in precision for a subset of CACM queries. The second experiment is performed on a test collection specifically designed to test the strength of our model in situation where the same terms are being used in different context. Improved relevance has been observed in this case also. The application of this approach on results retrieved from LYCOS shown significant improvement. The proposed model is both efficient, scalable and domain independent. |
Neel, Diksha; Tiwary, Uma Shanker Data-value Aware Cascading Time-out for Informnation Aggregation in WSN Inproceedings 2006 3rd IEEE/EMBS International Summer School on Medical Devices and Biosensors, pp. 79-82, 2006. Links | BibTeX | Tags: Aggregates, Biosensors, Broadcasting, Clocks, Collaborative work, Energy efficiency, Information aggregation, Monitoring, Protocols, Timing, wireless sensor networks @inproceedings{4201271, title = {Data-value Aware Cascading Time-out for Informnation Aggregation in WSN}, author = {Diksha Neel and Uma Shanker Tiwary}, doi = {10.1109/ISSMDBS.2006.360102}, year = {2006}, date = {2006-09-01}, booktitle = {2006 3rd IEEE/EMBS International Summer School on Medical Devices and Biosensors}, pages = {79-82}, keywords = {Aggregates, Biosensors, Broadcasting, Clocks, Collaborative work, Energy efficiency, Information aggregation, Monitoring, Protocols, Timing, wireless sensor networks}, pubstate = {published}, tppubtype = {inproceedings} } |
2005 |
KHARE, ASHISH; Tiwary, Uma Shanker A New Method for Deblurring and Denoising of Medical Images using Complex Wavelet Transform Inproceedings 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, pp. 1897-1900, 2005, ISSN: 1094-687X. Abstract | Links | BibTeX | Tags: @inproceedings{1616821, title = {A New Method for Deblurring and Denoising of Medical Images using Complex Wavelet Transform}, author = {ASHISH KHARE and Uma Shanker Tiwary}, doi = {10.1109/IEMBS.2005.1616821}, issn = {1094-687X}, year = {2005}, date = {2005-01-01}, booktitle = {2005 IEEE Engineering in Medicine and Biology 27th Annual Conference}, pages = {1897-1900}, abstract = {Deblurring in the presence of non-Gaussian noise is a hard problem, specially in ultrasonic and CT images. In this paper, a new method of image restoration, using complex wavelet transform, has been devised and applied to deblur in the presence of high speckle noise. It has been shown that the new method outperforms the Weiner filtering and Fourier-wavelet regularized deconvolution (ForWaRD) methods for both ultrasonic and CT images. Unlike Fourier and real wavelet transforms, complex wavelet transform is nearly shift-invariant. This gives complex wavelet transform an edge over other traditional methods when applied simultaneously for deblurring as well as denoising. The proposed method is independent of any assumption about the degradation process. It is adaptive, as it uses shrinkage function based on median and mean of absolute wavelet coefficient as well as standard deviation of wavelet coefficients. Its application on real spiral CT images of inner ear has shown a clear improvement over other methods}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Deblurring in the presence of non-Gaussian noise is a hard problem, specially in ultrasonic and CT images. In this paper, a new method of image restoration, using complex wavelet transform, has been devised and applied to deblur in the presence of high speckle noise. It has been shown that the new method outperforms the Weiner filtering and Fourier-wavelet regularized deconvolution (ForWaRD) methods for both ultrasonic and CT images. Unlike Fourier and real wavelet transforms, complex wavelet transform is nearly shift-invariant. This gives complex wavelet transform an edge over other traditional methods when applied simultaneously for deblurring as well as denoising. The proposed method is independent of any assumption about the degradation process. It is adaptive, as it uses shrinkage function based on median and mean of absolute wavelet coefficient as well as standard deviation of wavelet coefficients. Its application on real spiral CT images of inner ear has shown a clear improvement over other methods |
Sharma, Lokesh Kumar; Vyas, Om Prakash; Tiwary, Uma Shanker; Vyas, Ranjana A Novel Approach of Multilevel Positive and Negative Association Rule Mining for Spatial Databases Book Chapter Perner, Petra; Imiya, Atsushi (Ed.): Machine Learning and Data Mining in Pattern Recognition: 4th International Conference, MLDM 2005, Leipzig, Germany, July 9-11, 2005. Proceedings, pp. 620–629, Springer Berlin Heidelberg, Berlin, Heidelberg, 2005, ISBN: 978-3-540-31891-0. @inbook{Sharma2005, title = {A Novel Approach of Multilevel Positive and Negative Association Rule Mining for Spatial Databases}, author = {Lokesh Kumar Sharma and Om Prakash Vyas and Uma Shanker Tiwary and Ranjana Vyas}, editor = {Petra Perner and Atsushi Imiya}, url = {http://dx.doi.org/10.1007/11510888_61}, doi = {10.1007/11510888_61}, isbn = {978-3-540-31891-0}, year = {2005}, date = {2005-01-01}, booktitle = {Machine Learning and Data Mining in Pattern Recognition: 4th International Conference, MLDM 2005, Leipzig, Germany, July 9-11, 2005. Proceedings}, pages = {620--629}, publisher = {Springer Berlin Heidelberg}, address = {Berlin, Heidelberg}, keywords = {}, pubstate = {published}, tppubtype = {inbook} } |
Siddiqui, Tanveer J; Tiwary, Uma Shanker Integrating Relation and Keyword Matching in Information Retrieval Book Chapter Khosla, Rajiv; Howlett, Robert J; Jain, Lakhmi C (Ed.): Knowledge-Based Intelligent Information and Engineering Systems: 9th International Conference, KES 2005, Melbourne, Australia, September 14-16, 2005, Proceedings, Part IV, pp. 64–73, Springer Berlin Heidelberg, Berlin, Heidelberg, 2005, ISBN: 978-3-540-31997-9. @inbook{Siddiqui2005, title = {Integrating Relation and Keyword Matching in Information Retrieval}, author = {Tanveer J. Siddiqui and Uma Shanker Tiwary}, editor = {Rajiv Khosla and Robert J. Howlett and Lakhmi C. Jain}, url = {http://dx.doi.org/10.1007/11554028_10}, doi = {10.1007/11554028_10}, isbn = {978-3-540-31997-9}, year = {2005}, date = {2005-01-01}, booktitle = {Knowledge-Based Intelligent Information and Engineering Systems: 9th International Conference, KES 2005, Melbourne, Australia, September 14-16, 2005, Proceedings, Part IV}, pages = {64--73}, publisher = {Springer Berlin Heidelberg}, address = {Berlin, Heidelberg}, keywords = {}, pubstate = {published}, tppubtype = {inbook} } |
Singh, Manoj Kumar; Park, Hyuk; Kim, Sung Hyun; Tiwary, Uma Shanker; Kim, Yong Hoon Linear and nonlinear methods for passive millimeter-wave image deblurring Inproceedings Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05., pp. 3685-3688, 2005, ISSN: 2153-6996. Links | BibTeX | Tags: Aircraft navigation, Airports, Degradation, Image restoration, Iterative methods, Maximum a posteriori estimation, Military aircraft, Millimeter wave technology, Radiometry, Surveillance @inproceedings{1526649, title = {Linear and nonlinear methods for passive millimeter-wave image deblurring}, author = {Manoj Kumar Singh and Hyuk Park and Sung Hyun Kim and Uma Shanker Tiwary and Yong Hoon Kim }, doi = {10.1109/IGARSS.2005.1526649}, issn = {2153-6996}, year = {2005}, date = {2005-07-01}, booktitle = {Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05.}, volume = {5}, pages = {3685-3688}, keywords = {Aircraft navigation, Airports, Degradation, Image restoration, Iterative methods, Maximum a posteriori estimation, Military aircraft, Millimeter wave technology, Radiometry, Surveillance}, pubstate = {published}, tppubtype = {inproceedings} } |
Garg, S; Kiran, K U; Mohan, R; Tiwary, Uma Shanker Multilevel Medical Image Fusion using Segmented Image by Level Set Evolution with Region Competition Inproceedings 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, pp. 7680-7683, 2005, ISSN: 1094-687X. Links | BibTeX | Tags: activity level, Biomedical imaging, biomedical MRI, Data mining, Image analysis, image fusion, image segmentation, Level set, level set evolution, Medical diagnostic imaging, medical image processing, modulus maxima, multilevel image decomposition, multilevel medical image fusion, Mutual information, mutual information criteria, Pixel, region competition, wavelet transform, wavelet transforms @inproceedings{1616291, title = {Multilevel Medical Image Fusion using Segmented Image by Level Set Evolution with Region Competition}, author = {S Garg and K U Kiran and R Mohan and Uma Shanker Tiwary}, doi = {10.1109/IEMBS.2005.1616291}, issn = {1094-687X}, year = {2005}, date = {2005-01-01}, booktitle = {2005 IEEE Engineering in Medicine and Biology 27th Annual Conference}, pages = {7680-7683}, keywords = {activity level, Biomedical imaging, biomedical MRI, Data mining, Image analysis, image fusion, image segmentation, Level set, level set evolution, Medical diagnostic imaging, medical image processing, modulus maxima, multilevel image decomposition, multilevel medical image fusion, Mutual information, mutual information criteria, Pixel, region competition, wavelet transform, wavelet transforms}, pubstate = {published}, tppubtype = {inproceedings} } |
2004 |
Khare, Ashish; Tiwary, Uma Shanker Adaptive Denoising techniques for Medical Images in Wavelet Domain Inproceedings pp. 20-23, 2004. Abstract | Links | BibTeX | Tags: @inproceedings{inproceedings, title = {Adaptive Denoising techniques for Medical Images in Wavelet Domain}, author = {Ashish Khare and Uma Shanker Tiwary}, url = {https://www.researchgate.net/profile/Ashish_Khare3/publication/236597589_Adaptive_Denoising_techniques_for_Medical_Images_in_Wavelet_Domain/links/5575a66e08ae7521586ad74c/Adaptive-Denoising-techniques-for-Medical-Images-in-Wavelet-Domain.pdf}, year = {2004}, date = {2004-01-01}, journal = {Proceedings of International Conference on Intelligent Signal Processing and Robotics}, pages = {20-23}, abstract = {Medical Images generally have poor contrast and complex nature of noise, as the noise is generated due to various acquisition devices and algorithm used. So denoising of medical images is a particularly delicate and difficult task. Wavelets provide an orthonormal basis for multiresolution analysis and decorrelation of non-stationary time series and spatial process. The decorrelation property of wavelets makes them suitable to denoise the images. There are three basic approaches for denoising: based on computation of simple threshold, regularity detection in wavelet domain and bayesian estimation in wavelet domain. The present work compares these techniques in term of Mean Square Error and discusses the relative advantages and disadvantages for their application to medical images. Simple threshold based methods are simple to implement and they perform good results. Regularity detection based techniques are better for the boundary detection of object as well as denoising. Bayesian estimation based methods perform very well for images where some information about distribution of noise is known. They will perform poor in some cases where the unknown type of noise is present.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } Medical Images generally have poor contrast and complex nature of noise, as the noise is generated due to various acquisition devices and algorithm used. So denoising of medical images is a particularly delicate and difficult task. Wavelets provide an orthonormal basis for multiresolution analysis and decorrelation of non-stationary time series and spatial process. The decorrelation property of wavelets makes them suitable to denoise the images. There are three basic approaches for denoising: based on computation of simple threshold, regularity detection in wavelet domain and bayesian estimation in wavelet domain. The present work compares these techniques in term of Mean Square Error and discusses the relative advantages and disadvantages for their application to medical images. Simple threshold based methods are simple to implement and they perform good results. Regularity detection based techniques are better for the boundary detection of object as well as denoising. Bayesian estimation based methods perform very well for images where some information about distribution of noise is known. They will perform poor in some cases where the unknown type of noise is present. |
Kor, Sudipta; Tiwary, Uma Shanker Feature level fusion of multimodal medical images in lifting wavelet transform domain Inproceedings The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 1479-1482, 2004. Abstract | Links | BibTeX | Tags: @inproceedings{1403455, title = {Feature level fusion of multimodal medical images in lifting wavelet transform domain}, author = {Sudipta Kor and Uma Shanker Tiwary}, doi = {10.1109/IEMBS.2004.1403455}, year = {2004}, date = {2004-09-01}, booktitle = {The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society}, volume = {1}, pages = {1479-1482}, abstract = {A method for feature level image fusion for multimodal medical images in second generation wavelet domain (lifting wavelet transform domain) is proposed. The feature fused is edge and boundary information of input images that is extracted using wavelet transform modulus maxima criterion. The image fusion performance is evaluated by standard deviation, entropy, cross entropy and gradient parameters. Experimental results show that the proposed method gives better results for image fusion as image contrast, average information content and detail information of fused image are increased. This method has further advantages of fast implementation, flexibility, saving of auxiliary memory, property of perfect reconstruction and simplicity as we have used lifting wavelet transform. The reduction in computational complexity has been achieved by a factor of two as compared to the nonlifted wavelet transform.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } A method for feature level image fusion for multimodal medical images in second generation wavelet domain (lifting wavelet transform domain) is proposed. The feature fused is edge and boundary information of input images that is extracted using wavelet transform modulus maxima criterion. The image fusion performance is evaluated by standard deviation, entropy, cross entropy and gradient parameters. Experimental results show that the proposed method gives better results for image fusion as image contrast, average information content and detail information of fused image are increased. This method has further advantages of fast implementation, flexibility, saving of auxiliary memory, property of perfect reconstruction and simplicity as we have used lifting wavelet transform. The reduction in computational complexity has been achieved by a factor of two as compared to the nonlifted wavelet transform. |
Publications
2018 |
Intelligent Human Computer Interaction Proceeding Springer, 11278 , 2018. |
2017 |
A hybrid approach for Hindi-English machine translation Inproceedings 2017 International Conference on Information Networking (ICOIN), pp. 389-394, 2017. |
Classification of Indian Classical Dance Forms Inproceedings Basu, Anupam; Das, Sukhendu; Horain, Patrick; Bhattacharya, Samit (Ed.): Intelligent Human Computer Interaction, pp. 67–80, Springer International Publishing, Cham, 2017, ISBN: 978-3-319-52503-7. |
2016 |
Affect representation and recognition in 3D continuous valence--arousal--dominance space Journal Article Multimedia Tools and Applications, pp. 1–25, 2016, ISSN: 1573-7721. |
Knowledge Based Summarization and Document Generation using Bayesian Network Journal Article Procedia Computer Science, 89 , pp. 333 - 340, 2016, ISSN: 1877-0509, (Twelfth International Conference on Communication Networks, ICCN 2016, August 19– 21, 2016, Bangalore, India Twelfth International Conference on Data Mining and Warehousing, ICDMW 2016, August 19-21, 2016, Bangalore, India Twelfth International Conference on Image and Signal Processing, ICISP 2016, August 19-21, 2016, Bangalore, India). |
2015 |
EEG based biometric identification with reduced number of channels Inproceedings 2015 17th International Conference on Advanced Communication Technology (ICACT), pp. 687-691, 2015, ISSN: 1738-9445. |
Human identification using Linear Multiclass SVM and Eye Movement biometrics Inproceedings Contemporary Computing (IC3), 2015 Eighth International Conference on, pp. 365-369, 2015. |
K-means clustering for adaptive wavelet based image denoising Inproceedings Computer Engineering and Applications (ICACEA), 2015 International Conference on Advances in, pp. 134-137, 2015. |
Proceeding of the Seventh International Conference on Intelligent Human Computer Interaction (IHCI 2015) Proceeding Elsevier, 84 , 2015. |
2014 |
Heart Rate Measurement Using Video in Different User States for Online HCI Applications Journal Article Procedia Computer Science, 39 , pp. 20 - 27, 2014, ISSN: 1877-0509, (The 6th international conference on Intelligent Human Computer Interaction, IHCI 2014). |
Multimodal fusion framework: A multiresolution approach for emotion classification and recognition from physiological signals Journal Article NeuroImage, 102, Part 1 , pp. 162 - 172, 2014, ISSN: 1053-8119, (Multimodal Data Fusion). |
2013 |
A Cognitive Interactive Framework for Multi-Document Summarizer Inproceedings Kudělka, Miloš; Pokorný, Jaroslav; Snášel, Václav; Abraham, Ajith (Ed.): Proceedings of the Third International Conference on Intelligent Human Computer Interaction (IHCI 2011), Prague, Czech Republic, August, 2011, pp. 257–268, Springer Berlin Heidelberg, Berlin, Heidelberg, 2013, ISBN: 978-3-642-31603-6. |
A speech retrieval system based on fuzzy logic and knowledge-base filtering Inproceedings Multimedia, Signal Processing and Communication Technologies (IMPACT), 2013 International Conference on, pp. 46-50, 2013. |
An associative classifier based on the concept of analogy and human learning Inproceedings Multimedia, Signal Processing and Communication Technologies (IMPACT), 2013 International Conference on, pp. 297-301, 2013. |
2012 |
Combining Words and Pictures for Museum Information Retrieval Inproceedings IHCI, 2012. |
2011 |
Facial Emotion Recognition Using Different Multi-resolution Transforms Book Chapter Abraham, Ajith; Mauri, Jaime Lloret; Buford, John F; Suzuki, Junichi; Thampi, Sabu M (Ed.): Advances in Computing and Communications: First International Conference, ACC 2011, Kochi, India, July 22-24, 2011, Proceedings, Part III, pp. 469–477, Springer Berlin Heidelberg, Berlin, Heidelberg, 2011, ISBN: 978-3-642-22720-2. |
Multi-algorithm Fusion for Speech Emotion Recognition Book Chapter Abraham, Ajith; Mauri, Jaime Lloret; Buford, John F; Suzuki, Junichi; Thampi, Sabu M (Ed.): Advances in Computing and Communications: First International Conference, ACC 2011, Kochi, India, July 22-24, 2011, Proceedings, Part III, pp. 452–459, Springer Berlin Heidelberg, Berlin, Heidelberg, 2011, ISBN: 978-3-642-22720-2. |
2010 |
Automated Risk Identification of Myocardial Infarction Using Relative Frequency Band Coefficient (RFBC) Features from ECG Journal Article Open Biomed Eng J, 4 , pp. 217-222, 2010, ISSN: 1874-1207, (TOBEJ-4-217[PII]). |
Multilevel adaptive thresholding and shrinkage technique for denoising using Daubechies complex wavelet transform Journal Article The Imaging Science Journal, 58 (6), pp. 340-358, 2010. |
Optical performance analysis using a point spread function and modulation transfer function for W-band pmmw imaging system based on quasi optics focused array of dielectric rod waveguide antenna Journal Article Progress In Electromagnetics Research, 23 , pp. 273–291, 2010. |
2009 |
A Robust Object Tracking Method for Noisy Video using Rough Entropy in Wavelet Domain Inproceedings Tiwary, Uma Shanker; Siddiqui, Tanveer J; Radhakrishna, M; Tiwari, M D (Ed.): Proceedings of the First International Conference on Intelligent Human Computer Interaction, pp. 113–122, Springer India, New Delhi, 2009, ISBN: 978-81-8489-203-1. |
A Robust Object Tracking Method Using Structural Similarity in Daubechies Complex Wavelet Domain Book Chapter Chaudhury, Santanu; Mitra, Sushmita; Murthy, C A; Sastry, P S; Pal, Sankar K (Ed.): Pattern Recognition and Machine Intelligence: Third International Conference, PReMI 2009 New Delhi, India, December 16-20, 2009 Proceedings, pp. 315–320, Springer Berlin Heidelberg, Berlin, Heidelberg, 2009, ISBN: 978-3-642-11164-8. |
Adaptive Acceleration of MAP with Entropy Prior and Flux Conservation for Image Deblurring Inproceedings Tiwary, Uma Shanker; Siddiqui, Tanveer J; Radhakrishna, M; Tiwari, M D (Ed.): Proceedings of the First International Conference on Intelligent Human Computer Interaction, pp. 212–220, Springer India, New Delhi, 2009, ISBN: 978-81-8489-203-1. |
Data Aggregation in Cluster based Wireless Sensor Networks Inproceedings Tiwary, Uma Shanker; Siddiqui, Tanveer J; Radhakrishna, M; Tiwari, M D (Ed.): Proceedings of the First International Conference on Intelligent Human Computer Interaction, pp. 391–400, Springer India, New Delhi, 2009, ISBN: 978-81-8489-203-1. |
Daubechies complex wavelet transform based multilevel shrinkage for deblurring of medical images in presence of noise Journal Article International Journal of Wavelets, Multiresolution and Information Processing, 07 (05), pp. 587-604, 2009. |
Global healthcare monitoring system using 6lowpan networks Inproceedings Advanced Communication Technology, 2009. ICACT 2009. 11th International Conference on, pp. 113-117, 2009, ISSN: 1738-9445. |
Global Patient Monitoring System Using IP-Enabled Ubiquitous Sensor Network Inproceedings 2009 WRI World Congress on Computer Science and Information Engineering, pp. 524-528, 2009. |
IP-based ubiquitous sensor network for in-home healthcare monitoring Inproceedings Multimedia, Signal Processing and Communication Technologies, 2009. IMPACT '09. International, pp. 201-204, 2009. |
Proceedings of Fifth IEEE Conference on Wireless Communication and Sensor Networks (WCSN 2009) Book IEEE, 2009. |
2008 |
An Adaptively Accelerated Bayesian Deblurring Method with Entropy Prior Journal Article EURASIP Journal on Advances in Signal Processing, 2008 (1), pp. 674038, 2008, ISSN: 1687-6180. |
An Adaptively Accelerated Lucy-Richardson Method for Image Deblurring Journal Article EURASIP J. Adv. Signal Process, 2008 , pp. 52:1–52:10, 2008, ISSN: 1110-8657. |
Base station initiated dynamic routing protocol for Heterogeneous Wireless Sensor Network using clustering Inproceedings Wireless Communication and Sensor Networks, 2008. WCSN 2008. Fourth International Conference on, pp. 1-6, 2008. |
Face recognition using facial expression: a novel approach Journal Article 6982 , 2008. |
IP-based ubiquitous healthcare system Inproceedings 2008 International Conference on Control, Automation and Systems, pp. 131-136, 2008. |
Natural Language Processing and Information Retrieval Book Oxford University Press, Inc., New York, NY, USA, 2008, ISBN: 0195692322, 9780195692327. |
2007 |
A Language Independent Approach to Multilingual Text Summarization Inproceedings Large Scale Semantic Access to Content (Text, Image, Video, and Sound), pp. 123–132, LE CENTRE DE HAUTES ETUDES INTERNATIONALES D'INFORMATIQUE DOCUMENTAIRE, Pittsburgh, Pennsylvania, 2007. |
Cognitive Model - Based Emotion Recognition From Facial Expressions For Live Human Computer Interaction Inproceedings Computational Intelligence in Image and Signal Processing, 2007. CIISP 2007. IEEE Symposium on, pp. 351-356, 2007. |
Connectivity of ubiquitous sensor network with fixed network Inproceedings Control, Automation and Systems, 2007. ICCAS '07. International Conference on, pp. 2378-2382, 2007. |
Daubechies Complex Wavelet Transform Based Moving Object Tracking Inproceedings 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, pp. 36-40, 2007. |
Daubechies complex wavelet transform based technique for denoising of medical images Journal Article International Journal of Image and Graphics, 07 (04), pp. 663-687, 2007. |
Exploring Spatial ARM (Spatial Association Rule Mining) for Geo-Decision Support System Journal Article Journal of Computer Science, 3 , 2007. |
2006 |
A hybrid model to improve relevance in document retrieval Journal Article Journal of Digital Information Management, 4 , pp. 73 - 81, 2006, (Cited By (since 1996):2Export Date: 10 July 2014). |
Data-value Aware Cascading Time-out for Informnation Aggregation in WSN Inproceedings 2006 3rd IEEE/EMBS International Summer School on Medical Devices and Biosensors, pp. 79-82, 2006. |
2005 |
A New Method for Deblurring and Denoising of Medical Images using Complex Wavelet Transform Inproceedings 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, pp. 1897-1900, 2005, ISSN: 1094-687X. |
A Novel Approach of Multilevel Positive and Negative Association Rule Mining for Spatial Databases Book Chapter Perner, Petra; Imiya, Atsushi (Ed.): Machine Learning and Data Mining in Pattern Recognition: 4th International Conference, MLDM 2005, Leipzig, Germany, July 9-11, 2005. Proceedings, pp. 620–629, Springer Berlin Heidelberg, Berlin, Heidelberg, 2005, ISBN: 978-3-540-31891-0. |
Integrating Relation and Keyword Matching in Information Retrieval Book Chapter Khosla, Rajiv; Howlett, Robert J; Jain, Lakhmi C (Ed.): Knowledge-Based Intelligent Information and Engineering Systems: 9th International Conference, KES 2005, Melbourne, Australia, September 14-16, 2005, Proceedings, Part IV, pp. 64–73, Springer Berlin Heidelberg, Berlin, Heidelberg, 2005, ISBN: 978-3-540-31997-9. |
Linear and nonlinear methods for passive millimeter-wave image deblurring Inproceedings Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05., pp. 3685-3688, 2005, ISSN: 2153-6996. |
Multilevel Medical Image Fusion using Segmented Image by Level Set Evolution with Region Competition Inproceedings 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, pp. 7680-7683, 2005, ISSN: 1094-687X. |
2004 |
Adaptive Denoising techniques for Medical Images in Wavelet Domain Inproceedings pp. 20-23, 2004. |
Feature level fusion of multimodal medical images in lifting wavelet transform domain Inproceedings The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 1479-1482, 2004. |