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- W4212979751 abstract "Compared with Advanced Video Coding (AVC), High Efficiency Video Coding (HEVC) standard has higher compression ratio under the same reconstructed video quality. The improvement of coding ability depends on the introduction of many new coding technologies, such as flexible quadtree structure and more prediction modes. However, these coding tools also bring great computational complexity, which brings challenges to the real-time application of HEVC. Therefore, reducing the computational complexity of HEVC is a very meaningful topic. In this paper, firstly, we use Binary Sum of Absolute Difference (BSAD) to divide Coding Tree Unit (CTU) into three different types, namely static region, moving object boundary and moving object interior. Then, we utilize the depth distribution characteristics of different types to predict the depth range of Coding Tree Unit (CTU). Experimental results show that the proposed algorithm can effectively avoid unnecessary depth traversal, save 48.75% of coding time on average, and only increase the bitrate by 0.98%." @default.
- W4212979751 created "2022-02-24" @default.
- W4212979751 creator A5039521296 @default.
- W4212979751 date "2022-01-14" @default.
- W4212979751 modified "2023-10-18" @default.
- W4212979751 title "A Fast CU Depth Decision Algorithm Based on Moving Object Detection for High Efficiency Video Coding" @default.
- W4212979751 doi "https://doi.org/10.1109/iccece54139.2022.9712736" @default.
- W4212979751 hasPublicationYear "2022" @default.
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