NDLI: An optimal bit allocation framework for error resilient Scalable Video Coding

Content Provider	IEEE Xplore Digital Library
Author	Yong Liu Qaisar, S.B. Radha, H. Men, A.
Copyright Year	2009
Description	Author affiliation: Beijing University of Posts & Telecommunications, China (Yong Liu; Men, A.) \|\| Michigan State University, U.S.A (Qaisar, S.B.; Radha, H.)
Abstract	In this work, we propose an optimal joint bit allocation framework in order to provide unequal error protection (UEP) for scalable video coding. In the proposed scheme, video sequence is coded based on Scalable Video Coding (SVC) extension of the H.264/AVC standard. We generate different streams according to changing quantization parameters. Each stream divides into different sub-streams in terms of time and quality scalability. These sub-streams with different significance levels are channel-coded using Low Density Parity Check (LDPC) Codes with different coding rates respectively. Motivated by optimally allocating the bits to achieve resilience against channel induced corruptions, we propose an algorithm that optimally allocates the channel coding rates using a dynamic programming approach. We employ a probability model for decoding failure using LDPC codes. The results achieved clearly establish that the proposed framework can optimally allocate LDPC codes with varying coding rates to different sub-streams with the limited bandwidth.
Starting Page	1
Ending Page	4
File Size	238622
Page Count	4
File Format	PDF
ISBN	9781424445936
DOI	10.1109/PCS.2009.5167366
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-05-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Video coding Video sequences Quantization LDPC Codes Code standards Unequal Error Protection Bit rate Static VAr compensators Streaming media Scalable Video Coding Parity check codes Automatic voltage control Error correction codes
Content Type	Text
Resource Type	Article

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