Title :
Fast Bi-Directional Prediction Selection in H.264/MPEG-4 AVC Temporal Scalable Video Coding
Author :
Lin, Hung-Chih ; Hang, Hsueh-Ming ; Peng, Wen-Hsiao
Author_Institution :
MediaTek, Inc., Hsinchu, Taiwan
Abstract :
In this paper, we propose a fast algorithm that efficiently selects the temporal prediction type for the dyadic hierarchical-B prediction structure in the H.264/MPEG-4 temporal scalable video coding (SVC). We make use of the strong correlations in prediction type inheritance to eliminate the superfluous computations for the bi-directional (BI) prediction in the finer partitions, 16 × 8/8 × 16/8 × 8, by referring to the best temporal prediction type of 16 × 16. In addition, we carefully examine the relationship in motion bit-rate costs and distortions between the BI and the uni-directional temporal prediction types. As a result, we construct a set of adaptive thresholds to remove the unnecessary BI calculations. Moreover, for the block partitions smaller than 8 × 8, either the forward prediction (FW) or the backward prediction (BW) is skipped based upon the information of their 8 × 8 partitions. Hence, the proposed schemes can efficiently reduce the extensive computational burden in calculating the BI prediction. As compared to the JSVM 9.11 software, our method saves the encoding time from 48% to 67% for a large variety of test videos over a wide range of coding bit-rates and has only a minor coding performance loss.
Keywords :
data compression; media streaming; video coding; BI calculations; BW; FW; H.264-MPEG-4 AVC temporal scalable video coding; JSVM 9.11 software; SVC; backward prediction; bidirectional prediction selection; forward prediction; hierarchical-B prediction structure; motion bit-rate costs; unidirectional temporal prediction; Algorithm design and analysis; Bidirectional control; Complexity theory; MPEG 4 Standard; Prediction methods; Scalability; Video coding; Bi-directional prediction; H.264/MPEG-4 AVC scalable video coding; bi-directionally predictive frame; encoder optimization; hierarchical prediction structure; temporal scalability;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2011.2156802