Multimedia Processing, Communication and Computing Applications (eBook)

Proceedings of the First International Conference, ICMCCA, 13-15 December 2012
eBook Download: PDF
2013 | 2013
XXXV, 345 Seiten
Springer India (Verlag)
978-81-322-1143-3 (ISBN)

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ICMCCA 2012 is the first International Conference on Multimedia Processing, Communication and Computing Applications and the theme of the Conference is chosen as 'Multimedia Processing and its Applications'. Multimedia processing has been an active research area contributing in many frontiers of today's science and technology. This book presents peer-reviewed quality papers on multimedia processing, which covers a very broad area of science and technology. The prime objective of the book is to familiarize readers with the latest scientific developments that are taking place in various fields of multimedia processing and is widely used in many disciplines such as Medical Diagnosis, Digital Forensic, Object Recognition, Image and Video Analysis, Robotics, Military, Automotive Industries, Surveillance and Security, Quality Inspection, etc. The book will assist the research community to get the insight of the overlapping works which are being carried out across the globe at many medical hospitals and institutions, defense labs, forensic labs, academic institutions, IT companies and security & surveillance domains. It also discusses latest state-of-the-art research problems and techniques and helps to encourage, motivate and introduce the budding researchers to a larger domain of multimedia.

Dr. Punitha P. Swamy is currently associated as a Professor with the Department of Master of Computer Applications at the PES Institute of Technology, Bangalore. Her research interests include Image processing and pattern recognition, content based image retrieval, diversity and re-ranking, spatial reasoning, video analytics - shot segmentation, video summarization, story segmentation, intelligent vehicles - sign board recognition, license plate recognition, data mining, machine intelligence, document image analysis - skew detection and correction, archival and retrieval. Previously, Dr. Punitha was a Post Doctoral Researcher within the Glasgow Information Retrieval Group in the Department of Computing Science, Glasgow, Scotland from 2006-2010. During her tenure at University of Glasgow, she collaborated with many research teams and published many research articles. She received her Ph.D. in Computer Science from the University of Mysore in 2006. Dr. Punitha completed her Bachelors and Masters Degree in Computer Science from the University of Mysore, Mysore in 1999 and 2001, respectively. She has published more than 45 research articles in refereed international journals like IEEE Transactions, PR and PRL and Conference Proceedings like SIGIR, ECIR, CIVR, ACM. She has been identified as an Editorial Board Member for Journal of Data Mining, Modelling and Management and as a reviewer for top journals of IEEE Transactions, PRL and for many Conference Proceedings.

Dr. D. S. Guru is associated as an Associate Professor with the Department of Studies in Computer Science, University of Mysore. He has completed his Doctorate in Computer Science from the University of Mysore in 2000. He has published more than 200 research papers in national and international journals and conference proceedings. He has served as a Program Chair for International Conference on Signal and Image Processing, 2009, Mysore. Eleven students have received Doctorate under his supervision and seven more students are presently under his able guidance. Dr. Guru has been identified as a reviewer for the International Journal of Pattern Recognition Letters, Journal of Pattern Recognition, Journal of Document Analysis and Recognition, Journal of Image and Vision Computing, and IEEE Transactions on Neural Networks.
ICMCCA 2012 is the first International Conference on Multimedia Processing, Communication and Computing Applications and the theme of the Conference is chosen as 'Multimedia Processing and its Applications'. Multimedia processing has been an active research area contributing in many frontiers of today's science and technology. This book presents peer-reviewed quality papers on multimedia processing, which covers a very broad area of science and technology. The prime objective of the book is to familiarize readers with the latest scientific developments that are taking place in various fields of multimedia processing and is widely used in many disciplines such as Medical Diagnosis, Digital Forensic, Object Recognition, Image and Video Analysis, Robotics, Military, Automotive Industries, Surveillance and Security, Quality Inspection, etc. The book will assist the research community to get the insight of the overlapping works which are being carried out across the globe at many medical hospitals and institutions, defense labs, forensic labs, academic institutions, IT companies and security & surveillance domains. It also discusses latest state-of-the-art research problems and techniques and helps to encourage, motivate and introduce the budding researchers to a larger domain of multimedia.

Dr. Punitha P. Swamy is currently associated as a Professor with the Department of Master of Computer Applications at the PES Institute of Technology, Bangalore. Her research interests include Image processing and pattern recognition, content based image retrieval, diversity and re-ranking, spatial reasoning, video analytics – shot segmentation, video summarization, story segmentation, intelligent vehicles – sign board recognition, license plate recognition, data mining, machine intelligence, document image analysis – skew detection and correction, archival and retrieval. Previously, Dr. Punitha was a Post Doctoral Researcher within the Glasgow Information Retrieval Group in the Department of Computing Science, Glasgow, Scotland from 2006-2010. During her tenure at University of Glasgow, she collaborated with many research teams and published many research articles. She received her Ph.D. in Computer Science from the University of Mysore in 2006. Dr. Punitha completed her Bachelors and Masters Degree in Computer Science from the University of Mysore, Mysore in 1999 and 2001, respectively. She has published more than 45 research articles in refereed international journals like IEEE Transactions, PR and PRL and Conference Proceedings like SIGIR, ECIR, CIVR, ACM. She has been identified as an Editorial Board Member for Journal of Data Mining, Modelling and Management and as a reviewer for top journals of IEEE Transactions, PRL and for many Conference Proceedings. Dr. D. S. Guru is associated as an Associate Professor with the Department of Studies in Computer Science, University of Mysore. He has completed his Doctorate in Computer Science from the University of Mysore in 2000. He has published more than 200 research papers in national and international journals and conference proceedings. He has served as a Program Chair for International Conference on Signal and Image Processing, 2009, Mysore. Eleven students have received Doctorate under his supervision and seven more students are presently under his able guidance. Dr. Guru has been identified as a reviewer for the International Journal of Pattern Recognition Letters, Journal of Pattern Recognition, Journal of Document Analysis and Recognition, Journal of Image and Vision Computing, and IEEE Transactions on Neural Networks.

An Efficient Method for Indian Vehicle Number Plate Extraction.- Facial Boundary Image Reconstruction Using Elliptical Approximation and Convex Hull (FIREACH).- South Indian Handwritten Script Identification at Block Level from Trilingual Script Document Based on Gabor Features.- Indic Language Machine Translation Tool: English to Kannada/Telugu.- Real-time Stereo Camera Calibration Using Stereo Synchronization and Erroneous Input Image Pair Elimination.- Topic Modelling for Content Based Image Retrieval.- Texture in Classification of Pollen grain Images.- Representation and Classification of Medicinal Plant Leaves: A Symbolic Approach.- Linear Discriminant Analysis for 3D Face Recognition Using Radon Transform.- Fusion of Texture Features and SBS Method for Classification of Tobacco Leaves for Automatic Harvesting.- Stacked Classifier Model with Prior Re-sampling for Lung Nodule Rating Prediction.- A Comparative Analysis of intensity Based rotation invariant 3D Facial Landmarking System from 3D Meshes.- Thermal Human Face Recognition Based on Haar Wavelet Transform and Series Matching Technique.- A Hybrid Approach for Enhancing the Security of Information Content of an Image.- Recognition of Limited Vocabulary Kannada Words through Structural Pattern Matching:  Experimentation on Low Resolution Images.- Stained Blood Cell Detection and Clumped Cell Segmentation Useful for Malaria Parasite Diagnosis.- A Novel Approach for Shot Boundary Detection in Videos.- Enhancing the COCOA Framework for Tracking Multiple Objects in the Presence of Occlusion in Aerial Image Sequences.- User Dependent Features in Online Signature Verification.- An Integrated Filter Based Approach for Image Abstraction and Stylization.- Progressive Filtering Using Multi-resolution Histograms for Query by Humming System.- Color and Gradient Features for Text Segmentation from Video Frames.- A  Review on Crop and Weed Segmentation Based on Digital Images.- Classification and Decoding of Barcodes: An Image Processing Approach.- Sketch Based Flower Detection and Tracking.-Segmentation, Visualization and Quantification of Knee Joint Articular Cartilage Using MR Images.- Speaker Independent Isolated Kannada Word Recognizer.-

Erscheint lt. Verlag 25.5.2013
Reihe/Serie Lecture Notes in Electrical Engineering
Lecture Notes in Electrical Engineering
Zusatzinfo XXXV, 345 p.
Verlagsort New Delhi
Sprache englisch
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Informatik Grafik / Design Digitale Bildverarbeitung
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik Elektrotechnik / Energietechnik
Technik Nachrichtentechnik
Schlagworte computer vision • ICMCCA 2012 • Image Processing • Multimedia Mining • pattern recognition • Video Analytics
ISBN-10 81-322-1143-X / 813221143X
ISBN-13 978-81-322-1143-3 / 9788132211433
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