Compressed Video Quality Enhancement Method Based on Block Coding Features; [基于块编码特点的压缩视频质量增强算法] - Details

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Abstract：

To　solve　the　issue　that　existing　compressed　video　quality　enhancement　algorithms　do　not　fully　utilize　the　characteristics　of　compressed　videos,　the　intrinsic　relationship　between　video　encoding　and　the　task　of　compressed　video　quality　enhancement　was　studied　and　a　targeted　non-aligned　compressed　video　quality　enhancement　algorithm　was　designed　contrapuntally,　utilizing　a　three-dimensional　convolutional　neural　network　(3D-CNN).　Experimental　results　show　that　compared　with　the　high　efficiency　video　coding　(HEVC)　standard,　the　peak　signal-to-noise　ratio　(PSNR)　of　the　proposed　method　is　improved　to　0.　465　2　dB　when　low　delay　(LD)　configuration　and　quantization　parameter　(QP)　is　37.　Compared　with　MGANet　proposed　in　data　compression　conference　(DCC),　the　PSNR　increase　of　the　proposed　algorithm　is　improved　by　15.　1%　.　©　2024　Beijing　University　of　Technology.　All　rights　reserved.

Keyword：

video coding compressed video quality enhancement convolutional neural network (CNN) deep learning high efficiency video coding (HEVC) 3D convolutional neural network (3D-CNN)

Author Community：

[ 1 ] [Yu H.]Henan Jiuyu EPRI Electric Power Technology Co., Ltd, Zhengzhou, 450000, China
[ 2 ] [Yang L.]Henan Jiuyu EPRI Electric Power Technology Co., Ltd, Zhengzhou, 450000, China
[ 3 ] [Gao Y.]Henan Jiuyu EPRI Electric Power Technology Co., Ltd, Zhengzhou, 450000, China
[ 4 ] [Liu F.]Henan Jiuyu EPRI Electric Power Technology Co., Ltd, Zhengzhou, 450000, China
[ 5 ] [Liu P.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
[ 6 ] [Liu P.]Beijing Laboratory of Advanced Information Network, Beijing, 100124, China
[ 7 ] [Liu P.]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, 100124, China
[ 8 ] [Sun X.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
[ 9 ] [Sun X.]Beijing Laboratory of Advanced Information Network, Beijing, 100124, China
[ 10 ] [Sun X.]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, 100124, China
[ 11 ] [Zhang Y.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
[ 12 ] [Zhang Y.]Beijing Laboratory of Advanced Information Network, Beijing, 100124, China
[ 13 ] [Zhang Y.]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, 100124, China

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Related Keywords：

Compressed video quality enhancement algorithm based on 3D-CNNs
2023，Wireless Networks
基于块编码特点的压缩视频质量增强算法
2024，北京工业大学学报
Fast Depth Intra Coding Based on Depth Edge Classification Network in 3D-HEVC
2021，IEEE TRANSACTIONS ON BROADCASTING
Fast Intra CTU Depth Decision for HEVC
2018，IEEE ACCESS

Source ：

Journal of Beijing University of Technology

ISSN： 0254-0037

Year： 2024

Issue： 9

Volume： 50

Page： 1069-1076

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ESI Highly Cited Papers on the List： 0 Unfold All

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Chinese Cited Count：

30 Days PV： 8

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