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
Stopping criterions for turbo coding in a WYNER-ZIV video codec
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
Successive refinement based Wyner-Ziv video compression
Image Communication
Correlation Noise Modeling for Efficient Pixel and Transform Domain Wyner–Ziv Video Coding
IEEE Transactions on Circuits and Systems for Video Technology
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Distributed video coding is a relatively new video coding approach, where compression is achieved by performing motion estimation at the decoder. Current techniques for decoder-side motion estimation make use of assumptions such as linear motion between the reference frames. It is only after the frame is partially decoded that some of the errors are corrected. In this paper, we propose a new approach with multiple predictors, accounting for inaccuracies in the decoder-side motion estimation process during the decoding. Each of the predictors is assigned a weight, and the correlation between the original frame at the encoder and the set of predictors at the decoder is modeled at the decoder. This correlation information is then used during the decoding process. Results indicate average quality gains up to 0.4 dB.