Multiple description h.264 video coding with redundant pictures
Proceedings of the international workshop on Workshop on mobile video
Isolated regions in video coding
IEEE Transactions on Multimedia
Video coding with optimal inter/intra-mode switching for packet loss resilience
IEEE Journal on Selected Areas in Communications
Generalized B pictures and the draft H.264/AVC video-compression standard
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
File Format for Scalable Video Coding
IEEE Transactions on Circuits and Systems for Video Technology
Overview of the Scalable Video Coding Extension of the H.264/AVC Standard
IEEE Transactions on Circuits and Systems for Video Technology
System and Transport Interface of SVC
IEEE Transactions on Circuits and Systems for Video Technology
Transport and Signaling of SVC in IP Networks
IEEE Transactions on Circuits and Systems for Video Technology
Error-resilient and error concealment 3-D SPIHT video coding with added redundancy
ICISP'10 Proceedings of the 4th international conference on Image and signal processing
Reference frame modification techniques for temporal and spatial scalability
Image Communication
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Scalable video coding (SVC), which is the scalable extension of the H.264/AVC standard, was developed by the Joint Video Team (JVT) of ISO/IEC MPEG (Moving Picture Experts Group) and ITU-T VCEG (Video Coding Experts Group). SVC is designed to provide adaptation capability for heterogeneous network structures and different receiving devices with the help of temporal, spatial, and quality scalabilities. It is challenging to achieve graceful quality degradation in an error-prone environment, since channel errors can drastically deteriorate the quality of the video. Error resilient coding and error concealment techniques have been introduced into SVC to reduce the quality degradation impact of transmission errors. Some of the techniques are inherited from or applicable also to H.264/AVC, while some of them take advantage of the SVC coding structure and coding tools. In this paper, the error resilient coding and error concealment tools in SVC are first reviewed. Then, several important tools such as loss-aware rate-distortion optimized macroblock mode decision algorithm and error concealment methods in SVC are discussed and experimental results are provided to show the benefits from them. The results demonstrate that PSNR gains can be achieved for the conventional inter prediction (IPPP) coding structure or the hierarchical bi-predictive (B) picture coding structure with large group of pictures size, for all the tested sequences and under various combinations of packet loss rates, compared with the basic Joint Scalable Video Model (JSVM) design applying no error resilient tools at the encoder and only picture copy error concealment method at the decoder.