Evaluating a feedback channel based transform domain Wyner-Ziv video codec
Image Communication
Wyner-Ziv coding of video with unsupervised motion vector learning
Image Communication
PRISM: A Video Coding Paradigm With Motion Estimation at the Decoder
IEEE Transactions on Image Processing
Correlation Noise Modeling for Efficient Pixel and Transform Domain Wyner–Ziv Video Coding
IEEE Transactions on Circuits and Systems for Video Technology
Distributed video coding: basics, main solutions and trends
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Compensating for motion estimation inaccuracies in DVC
ICISP'10 Proceedings of the 4th international conference on Image and signal processing
Low delay distributed video coding with refined side information
Image Communication
Proceedings of the 20th ACM international conference on Multimedia
Probabilistic motion-compensated prediction in distributed video coding
Multimedia Tools and Applications
Progressively refined wyner-ziv video coding for visual sensors
ACM Transactions on Sensor Networks (TOSN)
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Wyner-Ziv (WZ) video coding is a particular case of distributed video coding, which is a recent video coding paradigm based on the Slepian-Wolf and WZ theorems. Contrary to available prediction-based standard video codecs, WZ video coding exploits the source statistics at the decoder, allowing the development of simpler encoders. Until now, WZ video coding did not reach the compression efficiency performance of conventional video coding solutions, mainly due to the poor quality of the side information, which is an estimate of the original frame created at the decoder in the most popular WZ video codecs. In this context, this paper proposes a novel side information refinement (SIR) algorithm for a transform domain WZ video codec based on a learning approach where the side information is successively improved as the decoding proceeds. The results show significant and consistent performance improvements regarding state-of-the-art WZ and standard video codecs, especially under critical conditions such as high motion content and long group of pictures sizes.