Open AccessAn SAD‐Based Selective Bi‐prediction Method for Fast Motion Estimation in High Efficiency Video Coding
Author(s) -
Kim Jongho,
Jun DongSan,
Jeong Seyoon,
Cho Sukhee,
Choi Jin Soo,
Kim Jinwoong,
Ahn Chieteuk
Publication year - 2012
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.12.0112.0186
Subject(s) - computer science , coding (social sciences) , algorithmic efficiency , motion estimation , computational complexity theory , coding tree unit , algorithm , artificial intelligence , quarter pixel motion , computer vision , real time computing , decoding methods , mathematics , statistics
As the next‐generation video coding standard, High Efficiency Video Coding (HEVC) has adopted advanced coding tools despite the increase in computational complexity. In this paper, we propose a selective bi‐prediction method to reduce the encoding complexity of HEVC. The proposed method evaluates the statistical property of the sum of absolute differences in the motion estimation process and determines whether bi‐prediction is performed. A performance comparison of the complexity reduction is provided to show the effectiveness of the proposed method compared to the HEVC test model version 4.0. On average, 50% of the bi‐prediction time can be reduced by the proposed method, while maintaining a negligible bit increment and a minimal loss of image quality.