JOURNAL ARTICLE

Fine-grained rate shaping for video streaming over wireless networks

Trista Pei-Chun ChenTsuhan Chen

Year: 2004 Journal:   2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). Vol: 5 Pages: V-688

Abstract

Streaming of precoded video, which is both source and channel coded, over wireless networks faces challenges of time-varying packet loss rate and fluctuating bandwidth. Rate shaping has been proposed (Chen, T.P.-C. and Chen, T., ICASSP, 2002) to "shape" the precoded video to adapt to the real-time bandwidth requirement and the packet loss rate. We now propose a novel "fine-grained rate shaping" (FGRS) scheme to allow for bandwidth adaptation over a wide range of bandwidth and packet loss rate. The video is precoded with fine granularity scalability (FGS) followed by forward error correction (FEC) coding with erasure codes. Utilizing the fine granularity property of FGS and FEC, FGRS selectively drops part of the precoded video and still yields a decodable bitstream at the decoder. A new two-stage rate-distortion (R-D) optimization, with model-based hyper-plane and hill-climbing based refinement, is proposed to select which part of the precoded video to drop. Promising results for FGRS are shown.

Keywords:
Computer science Packet loss Bandwidth (computing) Network packet Forward error correction Scalability Real-time computing Granularity Wireless Encoder Interleaving Computer network Decoding methods Algorithm Telecommunications

Metrics

11
Cited By
1.99
FWCI (Field Weighted Citation Impact)
35
Refs
0.87
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Video Coding and Compression Technologies
Physical Sciences →  Computer Science →  Signal Processing
Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image and Video Quality Assessment
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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