Low complexity encoder optimization for HEVC |
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| Affiliation: | 1. Institute of Digital Media & Cooperative Medianet Innovation Center, Peking University, Beijing, China;2. Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, China;3. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China;1. Electrical Engineering Department, Amirkabir University of Technology, Tehran, Iran;2. Electrical Engineering Department, Semnan University, Semnan, Iran;1. School of Computer Science and Technology, Xidian University, Xi’an 710071, Shaanxi, China;2. Xi’an Research Institute of Surveying and Mapping, Xi’an, Shaanxi, 710054, China;3. State Key Laboratory of Geo-Information Engineering, Xi’an, Shaanxi, 710054, China |
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| Abstract: | High Efficiency Video Coding (HEVC) improved the coding efficiency significantly. Compared to its predecessor H.264/AVC, it can provide equivalent subjective quality with more than 57% bit rate reduction. However, the improvement on coding efficiency is obtained at the expense of much more intensive computation complexity. In this paper, based on an overall analysis of computation complexity at the HEVC encoder, a low complexity encoder optimization scheme is proposed by reducing the number of available candidates for evaluation in terms of the intra prediction mode decision, early termination of coding unit (CU) splitting and adaptive reference frame selection. With the proposed scheme, the rate distortion optimization (RDO) technique of HEVC can be implemented in a low-complexity way for complexity-constrained encoders. Experimental results demonstrate that, compared with the original HEVC reference encoder implementation, the proposed optimization scheme can achieve more than 40% complexity reduction on average with coding performance degradation as only 0.43% which can be ignorable. |
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| Keywords: | HEVC Low complexity Intra mode decision CU splitting Reference frame selection Rate distortion optimization Video coding Encoder optimization |
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