面向实时应用的高效AVS3内部预测硬件设计

2022 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA) Pub Date : 2022-10-28 DOI:10.1109/ICTA56932.2022.9963036

Yucheng Jiang, Hai-Jun Guo, Junhao Zheng, Jingsheng Wang, Songping Mai

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引用次数: 0

摘要

提出了一种用于AVS3帧内预测的硬件高效混合贪心编码单元划分算法，该算法在调度复杂度和资源消耗方面都优于传统的回归算法。与NVidia硬件加速的HEVC相比，该算法在AI (all-intra)配置下对UHD 4K视频编码的性能提升21%。

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Efficient AVS3 Intra Prediction Hardware Design for Real-time Applications

a hardware-efficient hybrid greedy CU (coding unit) partition algorithm for AVS3 intra prediction, which has advantages over the traditional regression algorithm on both scheduling complexity and resource consumption, is presented. Compared with the NVidia hardware acceleration of HEVC, the proposed algorithm achieves 21% performance improvement on AI (all-intra) configuration for UHD 4K video encoding.

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来源期刊

2022 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)

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