TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Relative SATD-based Minimum Risk Bayesian Framework for Fast Intra Decision of HEVC |
| 영문제목(English Title) |
Relative SATD-based Minimum Risk Bayesian Framework for Fast Intra Decision of HEVC |
| 저자(Author) |
Daehyeok Gwon
Haechul Choi
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| 원문수록처(Citation) |
VOL 13 NO. 01 PP. 0385 ~ 0405 (2019. 01) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
High Efficiency Video Coding (HEVC) enables significantly improved compression performance relative to existing standards. However, the advance also requires high computational complexity. To accelerate the intra prediction mode decision, a minimum risk Bayesian classification framework is introduced. The classifier selects a small number of candidate modes to be evaluated by a rate-distortion optimization process using the sum of absolute Hadamard transformed difference (SATD). Moreover, the proposed method provides a loss factor that is a good trade-off model between computational complexity and coding efficiency. Experimental results show that the proposed method achieves a 31.54% average reduction in the encoding run time with a negligible coding loss of 0.93% BD-rate relative to HEVC test model 16.6 for the Intra_Main common test condition.
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| 키워드(Keyword) |
HEVC
intra coding
fast encoder
intra mode decision.
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| 파일첨부 |
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