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Techniques for predicting perceptual video quality based on complementary perceptual quality models

机译:基于互补感知质量模型的感知视频质量预测技术

摘要

In various embodiments, the ensemble prediction application calculates a quality score for reconstructed visual content derived from the visual content. The ensemble prediction application calculates a first quality score for the reconstructed video content based on a first set of values for the first set of features and a first model associating the first set of values with a first quality score. . The ensemble prediction application calculates a second quality score for the reconstructed video content based on a second set of values for the second set of features and a second model associating the second set of values with a second quality score. . The ensemble prediction application then determines an overall quality score for the reconstructed video content based on the first quality score and the second quality score. The overall quality score indicates the level of visual quality associated with the streamed video content.
机译:在各种实施例中,整体预测应用为从视觉内容导出的重构的视觉内容计算质量得分。集成预测应用程序基于第一组特征的第一组值和将第一组值与第一质量得分相关联的第一模型,为重构的视频内容计算第一质量得分。 。集成预测应用程序基于第二组特征的第二组值和将第二组值与第二质量分数相关联的第二模型,为重建的视频内容计算第二质量分数。 。然后,集成预测应用程序根据第一质量得分和第二质量得分来确定重建视频内容的总体质量得分。总体质量得分表示与流式视频内容相关的视觉质量级别。

著录项

  • 公开/公告号KR20200116973A

    专利类型

  • 公开/公告日2020-10-13

    原文格式PDF

  • 申请/专利权人 넷플릭스 인크.;

    申请/专利号KR20207025322

  • 发明设计人 리 지;밤피스 크리스토스;

    申请日2019-02-07

  • 分类号G06N20/20;G06K9;G06K9/03;G06K9/62;G06T7;H04N19/136;H04N19/154;H04N21/235;

  • 国家 KR

  • 入库时间 2022-08-21 11:05:46

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