Proceedings of 2nd International Conference on Computer Vision & Image Processing

1. A Novel Text Localization Scheme for Camera Captured Document Images

   • Tauseef Khan, Ayatullah Faruk Mollah

   Pages 253-264

2. Video Inpainting Based on Re-weighted Tensor Decomposition

   • Anjali Ravindran, M. Baburaj, Sudhish N. George

   Pages 265-276

3. Deep Convolutional Neural Network for Person Re-identification: A Comprehensive Review

   • Harendra Chahar, Neeta Nain

   Pages 277-288

4. Flexible Threshold Visual Odometry Algorithm Using Fuzzy Logics

   • Rahul Mahajan, P. Vivekananda Shanmuganathan, Vinod Karar, Shashi Poddar

   Pages 289-302

5. Fast Single Image Learning-Based Super Resolution of Medical Images Using a New Analytical Solution for Reconstruction Problem

   • K. Mariyambi, E. Saritha, M. Baburaj

   Pages 303-315

6. Analyzing ConvNets Depth for Deep Face Recognition

   • Mohan Raj, I. Gogul, M. Deepan Raj, V. Sathiesh Kumar, V. Vaidehi, S. Sibi Chakkaravarthy

   Pages 317-330

7. Use of High-Speed Photography to Track and Analyze Melt Pool Quality in Selective Laser Sintering

   • Sourin Ghosh, Priti P. Rege, Manoj J. Rathod

   Pages 331-344

8. Multi-Scale Directional Mask Pattern for Medical Image Classification and Retrieval

   • Akshay A. Dudhane, Sanjay N. Talbar

   Pages 345-357

9. Enhanced Characterness for Text Detection in the Wild

   • Aarushi Agrawal, Prerana Mukherjee, Siddharth Srivastava, Brejesh Lall

   Pages 359-369

10. Denoising of Volumetric MR Image Using Low-Rank Approximation on Tensor SVD Framework

    • Hawazin S. Khaleel, Sameera V. Mohd Sagheer, M. Baburaj, Sudhish N. George

    Pages 371-383

11. V-LESS: A Video from Linear Event Summaries

    • Krishan Kumar, Deepti D. Shrimankar, Navjot Singh

    Pages 385-395

12. Action Recognition from Optical Flow Visualizations

    • Arpan Gupta, M. Sakthi Balan

    Pages 397-408

13. Human Activity Recognition by Fusion of RGB, Depth, and Skeletal Data

    • Pushpajit Khaire, Javed Imran, Praveen Kumar

    Pages 409-421

14. Back Matter

    Pages 423-424

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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.

• Image/Video Processing and Analysis
• Image/Video Formation and Display
• CVIP 2017
• Image/Video Coding and Transmission
• Image/Video Quality
• Motion and Tracking
• Segmentation and Recognition
• Shape, Structure and Stereo
• Biomedical Image Analysis
• Geosciences and Remote Sensing

• Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata, India

  Bidyut B. Chaudhuri

• School of Computing, National University of Singapore, Singapore, Singapore

  Mohan S. Kankanhalli

• Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, India

  Balasubramanian Raman

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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