콘텐츠 본문
논문 해외 국제전문학술지(SCI급) Relative SATD-based Minimum Risk Bayesian Framework for Fast Intra Decision of HEVC
- 학술지 구분 국제전문학술지(SCI급)
- 게재년월 2019-01
- 저자명 Daehyeok Gwon and Haechul Choi
- 학술지명 KSII
- 발행처명 KSII
- 발행국가 해외
- 논문언어 외국어
- 전체저자수 2
논문 초록 (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.
