TY - JOUR
T1 - Context-based binary arithmetic coding with stochastic bit reshuffling for advanced fine granuality scalability
AU - Peng, Wen-Hsiao
AU - Wang, Chung Neng
AU - Chiang, Tihao
AU - Hang, Hsueh-Ming
PY - 2004/9/7
Y1 - 2004/9/7
N2 - We present a novel 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 8×8 floating point DCT with 4×4 integer transform. As compared to MPEG-4 FGS based bit-plane coding, we can improve the PSNR by 0.5-∼1dB and offer better subjective quality. Specifically, our approach is among top 3 of the Test 1(b) and 1(c) in the subjective quality evaluation of scalable video coding in the 65th MPEG meeting in July 2003.
AB - We present a novel 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 8×8 floating point DCT with 4×4 integer transform. As compared to MPEG-4 FGS based bit-plane coding, we can improve the PSNR by 0.5-∼1dB and offer better subjective quality. Specifically, our approach is among top 3 of the Test 1(b) and 1(c) in the subjective quality evaluation of scalable video coding in the 65th MPEG meeting in July 2003.
UR - http://www.scopus.com/inward/record.url?scp=4344578622&partnerID=8YFLogxK
U2 - 10.1109/ISCAS.2004.1328906
DO - 10.1109/ISCAS.2004.1328906
M3 - Conference article
AN - SCOPUS:4344578622
VL - 3
JO - Proceedings - IEEE International Symposium on Circuits and Systems
JF - Proceedings - IEEE International Symposium on Circuits and Systems
SN - 0271-4310
Y2 - 23 May 2004 through 26 May 2004
ER -