GUO Bin WANG Weidong YE Qingqing SHEN Yuli ZHANG Hong, WANG Weidong, YE Qingqing, SHEN Yuli, ZHANG Hong. A CABAC Accelerating Algorithm Base on Probability Estimation Update[J]. Journal of Image and Graphics, 2009, 14(2): 281-285. DOI: 10.11834/jig.20090214.
Context-based adaptive binary arithmetic coding (CABAC) is a highly efficient entropy coding way
but its coding speed is restricted by high computational complexity
which becomes a major bottleneck in its application To solve this problem
an effective way
based on the analysis of the CABAC algorithm and its computational complexity
will be proposed in this article to improve the algorithms coding speed by improving the probability estimation update part The algorithm first codes packets which each include N symbols
and then updates the probability estimation part
which decreases the update frequency of probability estimation remarkably The experimental results show that
compared with the former algorithms
the coding speed of CABAC has been substantially increased from 133% to 307%
with coding efficiency declines a little from 187% to 298%