首页> 外国专利> VIDEO TRANSCODING OPTIMIZATION METHOD USING CORRELATION OF SUBJECTIVE AND OBJECTIVE VIDEO QUALITY ASSESSMENT

VIDEO TRANSCODING OPTIMIZATION METHOD USING CORRELATION OF SUBJECTIVE AND OBJECTIVE VIDEO QUALITY ASSESSMENT

机译:主客观视频质量评估相关性的视频转码优化方法

摘要

Disclosed is a video transcoding optimization for minimizing video quality degradation which a user recognizes using a correlation between subjective and objective video quality assessment. The video transcoding method may comprise the following steps of: calculating a quantification index which indicates a gray intensity variation between two frames made by coding video content with different bitrates; eliciting a correlation between the quantification index and a video quality assessment index by comparing the quantification index to the video quality assessment index indicating that a video quality difference between scenes coded with different bitrates is quantified through subjective scoring; and performing transcoding of new video content to be serviced using the correlation between the quantification index and the video quality assessment index. [Reference numerals] (AA) Start; (BB) Image content for online service; (CC) End; (S11) Perform a subjective test under controlled test conditions; (S12) Elicit a video assessment index through a user scoring; (S13) Extracting a feature through an image processing technique; (S14) Elicit a video quality assessment index through extracted feature quantification; (S15) Compare an objective assessment result to an assessment result based on image processing for each content; (S16) Establish an image quality assessment standard based on a quantification index; (S17) Perform image transcoding based on the quantification index; (S18) Achieve low capacity/low load encoding
机译:公开了一种用于最小化用户使用主观和客观视频质量评估之间的相关性识别出的视频质量下降的视频代码转换优化。该视频代码转换方法可以包括以下步骤:计算量化指数,该量化指数指示通过对具有不同比特率的视频内容进行编码而形成的两个帧之间的灰度强度变化;以及通过将量化指标与视频质量评估指标进行比较,得出量化指标与视频质量评价指标之间的相关性,该指示表明通过主观评分量化了以不同比特率编码的场景之间的视频质量差异;使用量化指标和视频质量评估指标之间的相关性,对将要提供服务的新视频内容进行转码。 [参考数字](AA)开始; (BB)在线服务的图像内容; (CC)结束; (S11)在受控测试条件下进行主观测试; (S12)通过用户打分获取视频评估指标; (S13)通过图像处理技术提取特征; (S14)通过提取特征量化,得出视频质量评估指标; (S15)将客观的评估结果与基于针对每个内容的图像处理的评估结果进行比较; (S16)根据量化指标建立图像质量评估标准; (S17)根据量化指标进行图像转码; (S18)实现低容量/低负载编码

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