首页> 外国专利> CONVOLUTIONAL NEURAL NETWORK BASED SYNTHESIZED VIEW QUALITY ENHANCEMENT FOR VIDEO CODING

CONVOLUTIONAL NEURAL NETWORK BASED SYNTHESIZED VIEW QUALITY ENHANCEMENT FOR VIDEO CODING

机译:基于卷积神经网络的视频编码综合视图质量增强

摘要

Systems and methods which provide Convolutional Neural Network (CNN) based synthesized view quality enhancement for video coding are described. Embodiments may comprise an encoder configured for CNN based synthesized view quality enhancement configured to provide improved coding efficiency while maintaining synthesized view quality. Additionally or alternatively, embodiments may comprise a virtual viewpoint generator configured for CNN based synthesized view quality enhancement configured provide post-processing of the synthesized view at the decoder side to reduce the artifacts. CNN based synthesized view quality enhancement may, for example, be provided for 3D video coding to improve its coding efficiency, which can be utilized in 3D scenarios, such as 3DTV.
机译:描述了提供基于卷积神经网络(CNN)的用于视频编码的合成视图质量增强的系统和方法。实施例可以包括被配置用于基于CNN的合成视图质量增强的编码器,该编码器被配置成在维持合成视图质量的同时提供改进的编码效率。附加地或替代地,实施例可以包括被配置用于基于CNN的合成视图质量增强的虚拟视点生成器,该虚拟视点生成器被配置为在解码器侧提供合成视图的后处理以减少伪像。例如,可以为3D视频编码提供基于CNN的合成视图质量增强功能,以提高其编码效率,可以在3D场景(例如3DTV)中利用该CNN。

著录项

  • 公开/公告号US2020120324A1

    专利类型

  • 公开/公告日2020-04-16

    原文格式PDF

  • 申请/专利权人 CITY UNIVERSITY OF HONG KONG;

    申请/专利号US201816160659

  • 发明设计人 TAK WU SAM KWONG;LINWEI ZHU;YUN ZHANG;

    申请日2018-10-15

  • 分类号H04N13/161;H04N13/111;H04N13/122;G06T5;G06T5/20;G06N3/08;

  • 国家 US

  • 入库时间 2022-08-21 11:24:29

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