Effective Data Driven Coding Unit Size Decision Approaches for HEVC INTRA Coding
文献类型：期刊论文
| 作者 | Kwong, Sam.; Zhang, Yun; Pan, Zhaoqing; Li, Na; Wang, Xu; Jiang, Gangyi |
| 刊名 | IEEE Transactions on Circuits and Systems for Video Technology
 |
| 出版日期 | 2017 |
| 文献子类 | 期刊论文 |
| 英文摘要 | High Efficiency Video Coding (HEVC) INTRA coding improves compression efficiency by adopting advanced coding technologies, such as multi-level quad-tree block partitioning and up to 35-mode INTRA prediction. However, it significantly increases the coding complexity, memory access and power consumption, which goes against its widely applications, especially for ultra-high definition and/or mobile video applications. To tackle this problem, we propose an effective data driven Coding Unit (CU) size decision approaches for HEVC INTRA coding, which consists of two stages of Support Vector Machine based fast INTRA CU size decision schemes at four CU decision layers. At the first stage classification, a three output classifier with offline learning is developed to early terminate the CU size decision or early skip checking the current CU depth. As for the samples that neither early skipped nor early terminated, the second stage of binary classification, which learns online from previous coded frames, is proposed to further refine the CU size decision. Representative features for the CU size decision are explored at different decision layers and stages of classifications. Finally, the optimal parameters derived from the training data are achieved to reasonably allocate complexity among different CU layers at given total rate-distortion degradation constraint. Extensive experiments show that the proposed overall algorithm can achieve 27.95% to 80.53% and 52.48% on average complexity reduction for the CU size decision as compared with the original HM16.7 model. Meanwhile, the average Bjonteggard delta peak-signal-to-noise ratio degradation is only −0.08 dB, which is negligible. The overall performance of the proposed algorithm outperforms the state-of-the-art benchmark schemes. |
| URL标识 | 查看原文 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/12472]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | IEEE Transactions on Circuits and Systems for Video Technology |
| 推荐引用方式 GB/T 7714 | Kwong, Sam.,Zhang, Yun,Pan, Zhaoqing,et al. Effective Data Driven Coding Unit Size Decision Approaches for HEVC INTRA Coding[J]. IEEE Transactions on Circuits and Systems for Video Technology,2017. |
| APA | Kwong, Sam.,Zhang, Yun,Pan, Zhaoqing,Li, Na,Wang, Xu,&Jiang, Gangyi.(2017).Effective Data Driven Coding Unit Size Decision Approaches for HEVC INTRA Coding.IEEE Transactions on Circuits and Systems for Video Technology. |
| MLA | Kwong, Sam.,et al."Effective Data Driven Coding Unit Size Decision Approaches for HEVC INTRA Coding".IEEE Transactions on Circuits and Systems for Video Technology (2017). |
入库方式： OAI收割
来源：深圳先进技术研究院
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