TY - JOUR
T1 - Probabilistic decision based block partitioning for future video coding
AU - Wang, Zhao
AU - Wang, Shiqi
AU - Zhang, Jian
AU - Wang, Shanshe
AU - Ma, Siwei
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2018/3
Y1 - 2018/3
N2 - In the latest Joint Video Exploration Team development, the quadtree plus binary tree (QTBT) block partitioning structure has been proposed for future video coding. Compared to the traditional quadtree structure of High Efficiency Video coding (HEVC) standard, QTBT provides more flexible patterns for splitting the blocks, which results in dramatically increased combinations of block partitions and high computational complexity. In view of this, a confidence interval based early termination (CIET) scheme is proposed for QTBT to identify the unnecessary partition modes in the sense of rate-distortion (RD) optimization. In particular, a RD model is established to predict the RD cost of each partition pattern without the full encoding process. Subsequently, the mode decision problem is casted into a probabilistic framework to select the final partition based on the confidence interval decision strategy. Experimental results show that the proposed CIET algorithm can speed up QTBT block partitioning structure by reducing 54.7% encoding time with only 1.12% increase in terms of bit rate. Moreover, the proposed scheme performs consistently well for the high resolution sequences, of which the video coding efficiency is crucial in real applications.
AB - In the latest Joint Video Exploration Team development, the quadtree plus binary tree (QTBT) block partitioning structure has been proposed for future video coding. Compared to the traditional quadtree structure of High Efficiency Video coding (HEVC) standard, QTBT provides more flexible patterns for splitting the blocks, which results in dramatically increased combinations of block partitions and high computational complexity. In view of this, a confidence interval based early termination (CIET) scheme is proposed for QTBT to identify the unnecessary partition modes in the sense of rate-distortion (RD) optimization. In particular, a RD model is established to predict the RD cost of each partition pattern without the full encoding process. Subsequently, the mode decision problem is casted into a probabilistic framework to select the final partition based on the confidence interval decision strategy. Experimental results show that the proposed CIET algorithm can speed up QTBT block partitioning structure by reducing 54.7% encoding time with only 1.12% increase in terms of bit rate. Moreover, the proposed scheme performs consistently well for the high resolution sequences, of which the video coding efficiency is crucial in real applications.
KW - Block partitioning
KW - Confidence interval
KW - Probabilistic decision
KW - Quadtree plus binary tree
KW - Rate-distortion model
UR - https://www.scopus.com/pages/publications/85037632507
U2 - 10.1109/TIP.2017.2778564
DO - 10.1109/TIP.2017.2778564
M3 - 文章
C2 - 29990062
AN - SCOPUS:85037632507
SN - 1057-7149
VL - 27
SP - 1475
EP - 1486
JO - IEEE Transactions on Image Processing
JF - IEEE Transactions on Image Processing
IS - 3
ER -