TY - JOUR
T1 - An Adaptive Mode Decision Algorithm Based on Video Texture Characteristics for HEVC Intra Prediction
AU - Liu, Xingang
AU - Liu, Yinbo
AU - Wang, Peicheng
AU - Lai, Chin Feng
AU - Chao, Han Chieh
N1 - Funding Information:
Manuscript received June 4, 2015; revised September 1, 2015 and November 24, 2015; accepted April 1, 2016. Date of publication April 20, 2016; date of current version August 2, 2017. This work was supported by the Natural Science Foundation of China under Grant G0501020161301268, and also supported by Fundamental Research Funds for the Central Universities on Grant ZYGX2015Z009. This paper was recommended by Associate Editor M. Rabbani. (Corresponding author: Han-Chieh Chao.) X. Liu and P. Wang are with the School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China (e-mail: hanksliu@uestc.edu.cn).
PY - 2017/8
Y1 - 2017/8
N2 - The latest High Efficiency Video Coding (HEVC) standard could achieve the highest coding efficiency compared with the existing video coding standards. To improve the coding efficiency of the intra frame, a quad-Tree-based variable block size coding structure that is flexible to adapt to various texture characteristics of images and up to 35 intra-prediction modes for each prediction unit (PU) is adopted in HEVC. However, the computational complexity is increased dramatically because all the possible combinations of the mode candidates are calculated in order to find the optimal rate distortion cost using the Lagrange multiplier. To alleviate the encoder computational load, this paper proposes an adaptive mode decision algorithm based on texture complexity and direction for HEVC intra prediction. First, an adaptive coding unit selection algorithm according to each depth levels' texture complexity is presented to filter out unnecessary coding block. Then, the original redundant mode candidates for each PU are reduced according to its texture direction. The simulation results show that the proposed algorithm could reduce around 56% encoding time on average while maintaining the encoding performance efficiently with only a 1.0% increase in BD-rate compared with the test model HM16 of HEVC.
AB - The latest High Efficiency Video Coding (HEVC) standard could achieve the highest coding efficiency compared with the existing video coding standards. To improve the coding efficiency of the intra frame, a quad-Tree-based variable block size coding structure that is flexible to adapt to various texture characteristics of images and up to 35 intra-prediction modes for each prediction unit (PU) is adopted in HEVC. However, the computational complexity is increased dramatically because all the possible combinations of the mode candidates are calculated in order to find the optimal rate distortion cost using the Lagrange multiplier. To alleviate the encoder computational load, this paper proposes an adaptive mode decision algorithm based on texture complexity and direction for HEVC intra prediction. First, an adaptive coding unit selection algorithm according to each depth levels' texture complexity is presented to filter out unnecessary coding block. Then, the original redundant mode candidates for each PU are reduced according to its texture direction. The simulation results show that the proposed algorithm could reduce around 56% encoding time on average while maintaining the encoding performance efficiently with only a 1.0% increase in BD-rate compared with the test model HM16 of HEVC.
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U2 - 10.1109/TCSVT.2016.2556278
DO - 10.1109/TCSVT.2016.2556278
M3 - Article
AN - SCOPUS:85029415098
VL - 27
SP - 1737
EP - 1748
JO - IEEE Transactions on Circuits and Systems for Video Technology
JF - IEEE Transactions on Circuits and Systems for Video Technology
SN - 1051-8215
IS - 8
M1 - 7457295
ER -