標題: A context adaptive bit-plane coder with maximum-likelihood-based stochastic bit-reshuffling technique for scalable video coding
作者: Peng, Wen-Hsiao
Chiang, Tihao
Hang, Hsueh-Ming
Lee, Chen-Yi
電子工程學系及電子研究所
Department of Electronics Engineering and Institute of Electronics
關鍵字: bit-plane coding;fine granularity scalability;scalable video coding
公開日期: 1-八月-2006
摘要: In this paper, we propose a context adaptive bit-plane coding (CABIC) with a stochastic bit reshuffling (SBR) scheme to deliver higher coding efficiency and better subjective quality for fine granular scalable (FGS) video coding. Traditional bit-plane coding in FGS algorithm suffers from poor coding efficiency and subjective quality. To improve coding efficiency, our CABIC constructs context models based on both the energy distribution in a block and the spatial correlations in the adjacent blocks. Moreover, it exploits the context across bit-planes to save side information. To improve subjective quality, our SBR reorders the coefficient bits by their estimated rate-distortion performance. Particularly, we model transform coefficients with Laplacian distributions and incorporate them into the context probability models for content-aware parameter estimation. Moreover, our SBR is implemented with a dynamic priority management that uses a low-complexity dynamic memory organization. Experimental results show that our CABIC improves the PSNR by 0.5 similar to 1.0 dB at medium and high bit rates. While maintaining similar or even higher coding efficiency, our SBR improves the subjective quality.
URI: http://dx.doi.org/10.1109/TMM.2006.876302
http://hdl.handle.net/11536/11985
ISSN: 1520-9210
DOI: 10.1109/TMM.2006.876302
期刊: IEEE TRANSACTIONS ON MULTIMEDIA
Volume: 8
Issue: 4
起始頁: 654
結束頁: 667
顯示於類別:期刊論文


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