TY - JOUR
T1 - Enhanced stochastic bit reshuffling for fine granular scalable video coding
AU - Peng, Wen-Hsiao
AU - Chiang, Tihao
AU - Hang, Hsueh-Ming
AU - Lee, Chen-Yi
PY - 2004/11/30
Y1 - 2004/11/30
N2 - In this paper, we propose an enhanced stochastic bit reshuffling (SBR) scheme to deliver better subjective quality for fine granular scalable (FGS) video coding. Traditional bit-plane coding in FGS algorithm suffers from poor subjective quality due to zigzag and raster scanning order. To tackle this problem, our SBR rearranges the transmission order of each bit by its estimated rate-distortion performance. Particularly, we model the transform coefficient with a maximum like-lihood based Laplacian distribution and incorporate it into the context probability model for content-aware parameter estimation. Moreover, we use a dynamic priority management scheme for the SBR. Experimental results show that our enhanced SBR together with context adaptive binary arithmetic coding offers up to 1.5dB PSNR improvement and shows better visual quality as compared to the scheme in MPEG-4 FGS.
AB - In this paper, we propose an enhanced stochastic bit reshuffling (SBR) scheme to deliver better subjective quality for fine granular scalable (FGS) video coding. Traditional bit-plane coding in FGS algorithm suffers from poor subjective quality due to zigzag and raster scanning order. To tackle this problem, our SBR rearranges the transmission order of each bit by its estimated rate-distortion performance. Particularly, we model the transform coefficient with a maximum like-lihood based Laplacian distribution and incorporate it into the context probability model for content-aware parameter estimation. Moreover, we use a dynamic priority management scheme for the SBR. Experimental results show that our enhanced SBR together with context adaptive binary arithmetic coding offers up to 1.5dB PSNR improvement and shows better visual quality as compared to the scheme in MPEG-4 FGS.
KW - Maximum Likelihood Estimator
KW - Subjective Quality
KW - Context Model
KW - Uncertainty Interval
KW - Context Adaptive Binary Arithmetic Code
UR - http://www.scopus.com/inward/record.url?scp=35048834685&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-30542-2_64
DO - 10.1007/978-3-540-30542-2_64
M3 - Article
AN - SCOPUS:35048834685
SN - 0302-9743
VL - 3332
SP - 521
EP - 528
JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -