Adaptive bitstream switching of pre-encoded PFGS video
Proceedings of the ACM workshop on Advances in peer-to-peer multimedia streaming
Adaptive bitstream switching of scalable video
Image Communication
Rate-distortion optimized streaming of fine-grained scalable video sequences
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
SVC adaptation: Standard tools and supporting methods
Image Communication
A frame bit allocation algorithm in mobile P2P overlay network
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Receiving-peer-driven multi-video-source scheduling algorithms in mobile P2P overlay networks
Computers and Electrical Engineering
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Fine granularity scalability (FGS), a new coding technique that has recently been added to the MPEG-4 video coding standard, allows for the flexible scaling of each individual video frame at very fine granularity. This flexibility makes FGS video very well suited for rate-distortion optimized streaming mechanisms, which minimize the distortion (i.e. maximize the quality) of the streamed video by transmitting the optimal number of bits for each individual frame. The per-frame optimization of the transmission schedule, however, puts a significant computational burden on video servers and intermediate streaming gateways. In this paper we investigate the rate-distortion optimized streaming at different video frame aggregation levels. We find that compared to the optimization for each individual video frame, optimization at the level of video scenes reduces the computational effort dramatically, while reducing the video quality only very slightly. Copyright © 2005 John Wiley & Sons, Ltd.