Distortion-Aware Convolutional Neural Network-Based Interpolation Filter for AVS3
Yong Zhang,Li-Jen Wen,Lizhong Wang,Yinji Piao,Weijing Shi,Kwang-Pyo Choi +5 more
- 04 Jun 2023
TL;DR: In this article , a distortion-aware convolutional neural network-based interpolation filter (DA-NNIF) was proposed to further improve the interpolation prediction accuracy of sub-pixels with one model.
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Abstract: Motion compensation is a key technology in video coding for removing the temporal redundancy between video frames. Considering the incompatibility between traditional interpolation filters and diversified video content, the inter prediction method still has considerable room for improvement. This paper proposed a distortion-aware convolutional neural network-based interpolation filter (DA-NNIF) to further improve the interpolation prediction accuracy of sub-pixels with one model. Distortion parameters are introduced into the proposed network to reflect the quantization noise of reference frames. The experimental result shows that the proposed method achieves on average 1.47 % BD-rate reduction on Y component for ClassB, ClassC and ClassD sequences under the random access configuration of AVS3.
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