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- W1834384059 abstract "We present a context-based binary arithmetic coding with a stochastic bit-reshuffling scheme to improve bit-plane coding of MPEG-4 fine granularity scalability (FGS). Current approach has not fully considered the correlations across bit-planes and among adjacent transform blocks. To fully exploit correlation, we construct context based on spatial correlation and energy distribution of transform blocks. Furthermore, we consider the context across bit-planes to reduce side information. In addition, when the enhancement-layer is partially decoded, the block update in a raster scan causes unbalanced quality of a decoded frame. To have consistent subjective quality, we reshuffle the bit transmission order with a probability model. Since both encoder and decoder have identical probability model, no extra overhead are required. For faster convergence of statistic adaptation, we replace the traditional 8/spl times/8 floating point DCT with 4/spl times/4 integer transform. As compared to MPEG-4 FGS based bit-plane coding, we can improve the PSNR by 0.5/spl sim/1 dB and offer better subjective quality. Specifically, our approach is among top 3 of the test in the subjective quality evaluation of scalable video coding in the 65th MPEG meeting in July 2003." @default.
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- W1834384059 date "2004-09-20" @default.
- W1834384059 modified "2023-09-25" @default.
- W1834384059 title "Context-based binary arithmetic coding with stochastic bit reshuffling for advanced fine granularity scalability" @default.
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- W1834384059 doi "https://doi.org/10.1109/iscas.2004.1328906" @default.
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