Proceedings of 2nd International Conference on Computer Vision & Image Processing: CVIP 2017, Volume 2: 704 (Advances in Intelligent Systems and Computing) - Softcover

Über die Autorin bzw. den Autor

Prof. B. B. Chaudhuri is the INAE Distinguished Professor and J C Bose fellow at Computer Vision & Pattern Recognition Unit at Indian Statistical Institute, Kolkata. Professor Chaudhuri received his B.Sc (Hons.), B. Tech and M. Tech degrees from Calcutta University, India in 1969, 1972 and 1974, respectively and Ph.D. Degree from Indian Institute of Technology, Kanpur in 1980. He did his Post-Doc work during 1981-82 from Queen's University, U.K. He also worked as a visiting faculty at Tech University, Hannover during 1986-87 as well as at GSF institute of Radiation Protection (now Leibnitz institute), Munich in 1990 and 1992.  His research interests include digital document processing, optical character recognition; natural language processing including lexicon generation, ambiguity analysis, syntactic and semantic analysis in Bangla and other Indian languages; statistical and fuzzy pattern recognition including data clustering and density estimation; computer vision and image processing; applications oriented research and externally funded project execution; and Cognitive Science. He is a life fellow of IEEE, International Association for Pattern Recognition (IAPR), Third World Academy of Science (TWAS) Indian National Sciences Academy (INSA), National Academy of Sciences (NASc), Indian National Academy of Engineering (INAE), Institute of Electronics and Telecommunication Engineering (IETE), West Bengal Academy of Science & Technology, Optical Society of India, and Society of Machine Aids for Translation. He has published over 400 papers in journals and conference proceedings of national and international repute.

Dr. Mohan Kankanhalli is a Dean of School of Computing and Provost's Chair Professor of Computer Science at National University of Singapore. Before that, he was the Vice Provost (Graduate Education) for NUS during 2014-2016 and Associate Provost (Graduate Education) during 2011-2013. He was earlier the School of Computing Vice-Dean for Research during 2001-2007 and Vice-Dean for Graduate Studies during 2007-2010. He obtained his B. Tech (Electrical Engineering) from the Indian Institute of Technology, Kharagpur, in 1986 and M.S. and Ph.D. (Computer and Systems Engineering) from the Rensselaer Polytechnic Institute in 1988 and 1990, respectively. He subsequently joined the Institute of Systems Science. His research interests include multimedia computing, information security, image/video processing, and social media analysis. Dr. Mohan is a Fellow of IEEE. He has published over 250 papers in journals and conference proceedings of international repute. 

Dr. Balasubramanian Raman is currently an Associate Professor in the Department of Computer Science and Engineering at IIT Roorkee, India. He completed his Ph.D. (Mathematics and Computer Science) from Indian Institute of Technology Madras, Chennai in 2001. His areas of interest include computer vision - optical flow problems, fractional transform theory, wavelet analysis,image and video processing, multimedia security: digital image watermarking and encryption, biometrics, content based image and video retrieval, hyperspectral and microwave imaging and visualization, volume graphics. He has published over 100 papers in refereed journals and contributed 7 chapters in books. 

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The book provides insights into the Second International Conference on Computer Vision & Image Processing (CVIP-2017) organized by Department of Computer Science and Engineering of Indian Institute of Technology Roorkee. The book presents technological progress and research outcomes in the area of image processing and computer vision. The topics covered in this book are image/video processing and analysis; image/video formation and display; image/video filtering, restoration, enhancement and super-resolution; image/video coding and transmission; image/video storage, retrieval and authentication; image/video quality; transform-based and multi-resolution image/video analysis; biological and perceptual models for image/video processing; machine learning in image/video analysis; probability and uncertainty handling for image/video processing; motion and tracking; segmentation and recognition; shape, structure and stereo.