Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Iterative Multiview Side Information for Enhanced Reconstruction in Distributed Video Coding | Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2009 Article ID591915 17 pages doi 2009 591915 Research Article Iterative Multiview Side Information for Enhanced Reconstruction in Distributed Video Coding Mourad Ouaret Frederic Dufaux and Touradj Ebrahimi EURASIP Member Multimedia Signal Processing Group MMSPG Ecole Polytechnique Federale de Lausanne EPFL 1015 Lausanne Switzerland Correspondence should be addressed to Mourad Ouaret Received 30 May 2008 Revised 13 October 2008 Accepted 15 December 2008 Recommended by Anthony Vetro Distributed video coding DVC is a new paradigm for video compression based on the information theoretical results of Slepian and Wolf SW and Wyner and Ziv WZ . DVC entails low-complexity encoders as well as separate encoding of correlated video sources. This is particularly attractive for multiview camera systems in video surveillance and camera sensor network applications where low complexity is required at the encoder. In addition the separate encoding of the sources implies no communication between the cameras in a practical scenario. This is an advantage since communication is time and power consuming and requires complex networking. In this work different intercamera estimation techniques for side information SI generation are explored and compared in terms of estimating quality complexity and rate distortion RD performance. Further a technique called iterative multiview side information IMSI is introduced where the final SI is used in an iterative reconstruction process. The simulation results show that IMSI significantly improves the RD performance for video with significant motion and activity. Furthermore DVC outperforms AVC Intra for video with average and low motion but it is still inferior to the Inter No Motion and Inter Motion modes. Copyright 2009 Mourad Ouaret et al. This is an open access article distributed under the Creative Commons Attribution .
