A framework for adaptive scalable video coding using Wyner-Ziv techniques
EURASIP Journal on Applied Signal Processing
Refining side information for improved transform domain Wyner-Ziv video coding
IEEE Transactions on Circuits and Systems for Video Technology
Wyner-Ziv coding of video: an error-resilient compression framework
IEEE Transactions on Multimedia
Layered Wyner–Ziv Video Coding
IEEE Transactions on Image Processing
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
Cross-layer coding improves quality and security in wireless video sensor networks
Proceedings of the First International Conference on Security of Internet of Things
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After the great success of the predictive video coding approach, which led to a number of largely deployed MPEG and ITU-T standards, the video coding research community has been working on a new video coding paradigm, so-called distributed video coding (DVC), which is based on some Information Theory results from the 70s: the Slepian-Wolf and the Wyner-Ziv theorems. The first practical solutions have emerged around 2002 at the Stanford University and the University of California, Berkeley. This talk will address the basics, main solutions and trends on distributed video coding with especial emphasis on the Stanford DVC codec which has deserved a larger research investment. The rate-distortion (RD) performance of a state-of-the-art Stanford based DVC codec will be presented and benchmarked by the relevant alternative standard based video coding solutions. Finally, some trends on the DVC research will be discussed.