Wyner-Ziv WZ video coding is a particular case of distributed video coding, a new video coding paradigm based on the Slepian-Wolf  and Wyner-Ziv  theorems which mainly exploit the source correlation at the decoder and not only at the encoder as in predictive video coding. Therefore, this new coding paradigm may provide a flexible allocation of complexity between the encoder and the decoder and in-built channel error robustness, interesting features for emerging applications such as low-power video surveillance and visual sensor networks among others. Although some progress has been made in the last years, the rate-distortion performance of WZ video coding is still far from the maximum performance attained with predictive video coding.
In this thesis, we focus on addressing the challenges for multiview video compression. In particular, we have made 5 major contributions: An optimal stream encoding order algorithm is designed to enable the encoder to automatically decide the stream encoding order and find the best reference streams.
The proposed multiview video transcoder can be used to encode multiple compressed video streams and reduce the cost of multiview video acquisition system. The novel multiview video compression algorithms are built on the recent advances on semi-supervised learning algorithms and achieve compression by finding a sparse representation of images.
EETG simplifies the code construction algorithm for distributed source coding schemes using extended Tanner graph and is able to handle mismatched bits at the encoder. It is the first work to realize simultaneous Slepian-Wolf coding of stereo videos with the help of a distributed source code that achieves the whole Slepian-Wolf rate region.
The proposed scheme has a better rate-distortion performance than the separate H.thesis, a real-time distributed video transcoding system working in a heterogeneous environment has been proposed to tackle the high requirements of such applications.
It allows multiple computers on the same network to execute the same transcoding. In this thesis, we study the concept of network coding in distributed storage systems.
We start our description from easy code which is replication coding then follow with higher complex code such as erasure coding. This is a distributed transcoding stack using FFMpeg and Amazon AWS services. I use Simple Workflow (SWF) for parallel processing and Amazon SQS for messaging and event propagation.
The project is still in early stage but with little more work it could become pretty powerful. Topics in Fountain Coding Dino Sejdinovi¢ A thesis submitted to the University of Bristol in accordance with the requirements decentralised and distributed coding setting are presented.
Window ounFtain (EWF) codes, is proposed, analysed and shown to o er competitive performance applicable to scalable video multicasting. urther,F. Thesis topic: Distributed source coding: Design and applications (Outstanding master thesis of Tsinghua University) Adviser: Prof.
Qionghai Dai; ~ Tsinghua University, B.S G. Ding and F. Yang. A distributed video coding scheme based on denoising techniques.
to Peer (P2P) Networks for sharing of information, video and audio les in the Internet. The P2P networks are distributed data storage systems where the data that is stored in them is replicated across multiple nodes or peers in di erent locations.