@inproceedings{669971efd6a04079af90a3da11f81335,
title = "CNN-based inter prediction refinement for AVS3",
abstract = "The third generation of audio video coding standard, also known as AVS3, is the latest audio video coding standard developed by China AVS working group. With the newly adopted coding tools, AVS3 has achieved 20\% coding gain compared to HEVC. To further improve the coding performance of AVS3, a CNN-based inter prediction refinement algorithm is proposed in this paper. A fully convolutional neural network structure is adopted to enhance CUs with different shapes. In order to ensure the network robust for various CU shapes, a progressive training scheme is applied. Experimental results demonstrate that the proposed method achieves on average 1.88\% and 1.17\% BD-rate gain under LD and RA configuration following the common test condition of AVS3.",
keywords = "AVS3, CNN, Deep learning, Inter prediction, Video coding",
author = "Zhicong Zhang and Xiaopeng Fan and Debin Zhao and Wen Gao",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2020 ; Conference date: 06-07-2020 Through 10-07-2020",
year = "2020",
month = jul,
doi = "10.1109/ICMEW46912.2020.9106017",
language = "英语",
series = "2020 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2020 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2020",
address = "美国",
}