An SAD-Based Selective Bi-prediction Method for Fast Motion Estimation in High Efficiency Video Coding
Autor: | Dongsan Jun, Jongho Kim, Jin Soo Choi, Chieteuk Ahn, Suk-Hee Cho, Jinwoong Kim, Se Yoon Jeong |
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Rok vydání: | 2012 |
Předmět: |
General Computer Science
Computational complexity theory Image quality Computer science business.industry Electronic Optical and Magnetic Materials Quarter-pixel motion Sum of absolute differences Motion estimation Performance comparison Computer vision Artificial intelligence Electrical and Electronic Engineering Fast motion business Algorithm Coding (social sciences) |
Zdroj: | ETRI Journal. 34:753-758 |
ISSN: | 1225-6463 |
Popis: | 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 biprediction 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. |
Databáze: | OpenAIRE |
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