TY - GEN
T1 - A parallel context model for level information in CABAC
AU - Gao, Min
AU - Fan, Xiaopeng
AU - Wang, Qiang
AU - Zhao, Debin
AU - Gao, Wen
PY - 2011
Y1 - 2011
N2 - Context-adaptive binary arithmetic coding (CABAC) is one of the most time-consuming modules in H.264/AVC decoder. A potential way to accelerate CABAC is by parallelization. However, the context modeling process for level information in CABAC is highly serial in nature and can not be parallelized in the coefficient level. In order to improve the throughput of CABAC, in this paper we present a parallel context model for level information. The key feature of the model is to use the total number of the significant coefficients and the scanned position of the current significant coefficient in the quantized transform coefficient block as the context information. Since the context information is independent of the previously decoded significant coefficients, parallel decoding in coefficient level is achieved. In experiments, the proposed context model achieves the similar compression efficiency as the CABAC.
AB - Context-adaptive binary arithmetic coding (CABAC) is one of the most time-consuming modules in H.264/AVC decoder. A potential way to accelerate CABAC is by parallelization. However, the context modeling process for level information in CABAC is highly serial in nature and can not be parallelized in the coefficient level. In order to improve the throughput of CABAC, in this paper we present a parallel context model for level information. The key feature of the model is to use the total number of the significant coefficients and the scanned position of the current significant coefficient in the quantized transform coefficient block as the context information. Since the context information is independent of the previously decoded significant coefficients, parallel decoding in coefficient level is achieved. In experiments, the proposed context model achieves the similar compression efficiency as the CABAC.
UR - https://www.scopus.com/pages/publications/84862947696
U2 - 10.1109/VCIP.2011.6115996
DO - 10.1109/VCIP.2011.6115996
M3 - 会议稿件
AN - SCOPUS:84862947696
SN - 9781457713200
T3 - 2011 IEEE Visual Communications and Image Processing, VCIP 2011
BT - 2011 IEEE Visual Communications and Image Processing, VCIP 2011
T2 - 2011 IEEE Visual Communications and Image Processing, VCIP 2011
Y2 - 6 November 2011 through 9 November 2011
ER -