| 基于深度残差网络的HEVC压缩视频增强 |
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| 引用本文： | 何晓艺,段凌宇,林巍峣. 基于深度残差网络的HEVC压缩视频增强[J]. 计算机科学, 2019, 46(3): 88-91 |
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| 作者姓名： | 何晓艺 段凌宇 林巍峣 |
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| 作者单位： | 上海交通大学电子信息与电气工程学院 上海200240;北京大学数字视频编解码技术国家工程实验室 北京100871 |
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| 基金项目： | 国家自然科学基金项目(61471235);上海市"一带一路"青年科学家交流国际合作项目(17510740100);Ng Teng Fong慈善基金PKU-NTU联合研究中心项目(JRI)资助 |
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| 摘 要： |
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| 关 键 词： | 高效率视频编码 卷积神经网络 残差网络 压缩视频增强 |
Deep Residual Network Based HEVC Compressed Videos Enhancement |
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| HE Xiao-yi,DUAN Ling-yu,LIN Wei-. Deep Residual Network Based HEVC Compressed Videos Enhancement[J]. Computer Science, 2019, 46(3): 88-91 |
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| Authors: | HE Xiao-yi DUAN Ling-yu LIN Wei- |
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| Affiliation: | (School of Electronic Information and Electrical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China;National Engineering Laboratory for Video Technology,Peking University,Beijing 100871,China) |
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| Abstract: | HE Xiao-yi;DUAN Ling-yu;LIN Wei-yao(School of Electronic Information and Electrical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China;National Engineering Laboratory for Video Technology,Peking University,Beijing 100871,China) |
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| Keywords: | High efficiency video coding Convolutional neural network Residual network Compressed videos enhancement |
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