Evaluating a feedback channel based transform domain Wyner-Ziv video codec
Image Communication
Distributed video coding: Selecting the most promising application scenarios
Image Communication
Accurate Correlation Modeling for Transform-Domain Wyner-Ziv Video Coding
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Introducing skip mode in distributed video coding
Image Communication
Improved virtual channel noise model for transform domain Wyner-Ziv video coding
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Journal on Image and Video Processing - Special issue on distributed video coding
Refining side information for improved transform domain Wyner-Ziv video coding
IEEE Transactions on Circuits and Systems for Video Technology
Distributed video coding with decoder-driven skip
Proceedings of the 5th International ICST Mobile Multimedia Communications Conference
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
Successive refinement based Wyner-Ziv video compression
Image Communication
Low complexity intra mode selection for efficient distributed video coding
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Adaptive correlation estimation for general Wyner-Ziv video coding
ICIP'09 Proceedings of the 16th IEEE international conference 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
Perceptual-based distributed video coding
Journal of Visual Communication and Image Representation
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Distributed video coding (DVC) features simple encoders but complex decoders, which lies in contrast to conventional video compression solutions such as H.264/AVC. This shift in complexity is realized by performing motion estimation at the decoder side instead of at the encoder, which brings a number of problems that need to be dealt with. One of these problems is that, while employing different coding modes yields significant coding gains in classical video compression systems, it is still difficult to fully exploit this in DVC without increasing the complexity at the encoder side. Therefore, in this paper, instead of using an encoder-side approach, techniques for decoder-side mode decision are proposed. A rate-distortion model is derived that takes into account the position of the side information in the quantization bin. This model is then used to perform mode decision at the coefficient level and bitplane level. Average rate gains of 13-28% over the state-of-the-art DISCOVER codec are reported, for a GOP of size four, for several test sequences.