DocumentCode
2461345
Title
Adaptive ReedSolomon Code Protection of Data Partitioned H.264 Video
Author
Li, Heng ; Zhong, Yanchun
Author_Institution
State key Lab. of software Dev. Environ., BeiHang Univ. Beijing, Beijing, China
fYear
2009
fDate
12-14 Sept. 2009
Firstpage
122
Lastpage
127
Abstract
Due to the growing interest in video delivery over unreliable channels, the problem of error concealment in video communication is increasingly important. Our goal is to enable the correct decoding of bitstream, on the top of that, have a maximum playable frame rate and video quality. To be able to better combat packet loss, this article proposes a UEP solution in data partitioned H.264 video. Using mathematical expectation we first present the ARUP concept to find an optimal tradeoff between error correction ability of RS code and network capacity. Then we evaluate three different protection schemes. Experimental results show that with the combination of data partition and RS code, our proposal significantly improves the received video quality when packet loss occurs. In the last scheme, our method has at least 10 dB PSNR increase comparing to the stream without RS protection when the packet loss rate is 10%.
Keywords
Reed-Solomon codes; adaptive codes; decoding; error correction codes; video coding; video communication; ARUP concept; UEP solution; adaptive Reed-Solomon code protection; bitstream decoding; data partitioned H.264 video; error concealment; error correction; mathematical expectation; maximum playable frame rate; network capacity; unreliable channel; video communication; video delivery; video quality; Adaptive signal processing; Error correction; Error correction codes; Forward error correction; Programming; Proposals; Protection; Streaming media; Video signal processing; Videoconference;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Hiding and Multimedia Signal Processing, 2009. IIH-MSP '09. Fifth International Conference on
Conference_Location
Kyoto
Print_ISBN
978-1-4244-4717-6
Electronic_ISBN
978-0-7695-3762-7
Type
conf
DOI
10.1109/IIH-MSP.2009.48
Filename
5337321
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