JIPS (한국정보처리학회)
Current Result Document :
| 한글제목(Korean Title) |
A Fast CU Size Decision Optimal Algorithm Based on Neighborhood Prediction for HEVC |
| 영문제목(English Title) |
A Fast CU Size Decision Optimal Algorithm Based on Neighborhood Prediction for HEVC |
| 저자(Author) |
Jianhua Wang
Haozhan Wang
Fujian Xu
Jun Liu
Lianglun Cheng
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| 원문수록처(Citation) |
VOL 16 NO. 04 PP. 0959 ~ 0974 (2020. 08) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
High efficiency video coding (HEVC) employs quadtree coding tree unit (CTU) structure to improve its coding efficiency, but at the same time, it also requires a very high computational complexity due to its exhaustive search processes for an optimal coding unit (CU) partition. With the aim of solving the problem, a fast CU size decision optimal algorithm based on neighborhood prediction is presented for HEVC in this paper. The contribution of this paper lies in the fact that we successfully use the partition information of neighborhood CUs in different depth to quickly determine the optimal partition mode for the current CU by neighborhood prediction technology, which can save much computational complexity for HEVC with negligible RD-rate (rate-distortion rate) performance loss. Specifically, in our scheme, we use the partition information of left, up, and left-up CUs to quickly predict the optimal partition mode for the current CU by neighborhood prediction technology, as a result, our proposed algorithm can effectively solve the problem above by reducing many unnecessary prediction and partition operations for HEVC. The simulation results show that our proposed fast CU size decision algorithm based on neighborhood prediction in this paper can reduce about 19.0% coding time, and only increase 0.102% BD-rate (Bjontegaard delta rate) compared with the standard reference software of HM16.1, thus improving the coding performance of HEVC.
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| 키워드(Keyword) |
CU Decision
HEVC
Neighborhood Prediction
Optimal Algorithm
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| 파일첨부 |
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