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TIIS (Çѱ¹ÀÎÅͳÝÁ¤º¸ÇÐȸ)
TIIS (Çѱ¹ÀÎÅͳÝÁ¤º¸ÇÐȸ)
Current Result Document :
1
/ 2
´ÙÀ½°Ç
ÇѱÛÁ¦¸ñ(Korean Title)
Relative SATD-based Minimum Risk Bayesian Framework for Fast Intra Decision of HEVC
¿µ¹®Á¦¸ñ(English Title)
Relative SATD-based Minimum Risk Bayesian Framework for Fast Intra Decision of HEVC
ÀúÀÚ(Author)
Daehyeok Gwon
Haechul Choi
¿ø¹®¼ö·Ïó(Citation)
VOL 13 NO. 01 PP. 0385 ~ 0405 (2019. 01)
Çѱ۳»¿ë
(Korean Abstract)
¿µ¹®³»¿ë
(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.
Å°¿öµå(Keyword)
HEVC
intra coding
fast encoder
intra mode decision.
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