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Support vector regression based video quality prediction

机译:支持向量回归的视频质量预测

摘要

Systems and methods of objective video quality measurement based on support vector machines. The video quality measurement systems can obtain information pertaining to features of a target training video, obtain corresponding information pertaining to features of a reference version of the target training video, and employ the target training features and/or the reference training features to build video quality models using such support vector machines. Based on the target training features and/or the reference training features used to build such video quality models, the video quality models can be made to conform more closely to the human visual system. Moreover, using such video quality models in conjunction with target features of a target video whose perceptual quality is to be measured, and/or reference features of a reference video, the video quality measurement systems can be employed to predict measurements of the perceptual quality of such a target video with increased accuracy.
机译:基于支持向量机的客观视频质量测量的系统和方法。视频质量测量系统可以获得与目标训练视频的特征有关的信息,获得与目标训练视频的参考版本特征有关的相应信息,并采用目标训练特征和/或参考训练特征来建立视频质量使用此类支持向量机的模型。基于用于构建这种视频质量模型的目标训练特征和/或参考训练特征,可以使视频质量模型更接近于人类视觉系统。此外,结合将要测量其感知质量的目标视频的目标特征和/或参考视频的参考特征,使用这样的视频质量模型,可以使用视频质量测量系统来预测对视频质量的感知质量的测量。这样的目标视频具有更高的准确性。

著录项

  • 公开/公告号US8804815B2

    专利类型

  • 公开/公告日2014-08-12

    原文格式PDF

  • 申请/专利权人 DEKUN ZOU;BEIBEI WANG;

    申请/专利号US201113193802

  • 发明设计人 DEKUN ZOU;BEIBEI WANG;

    申请日2011-07-29

  • 分类号H04N7/50;H04N11/02;H04N11/04;H04B1/66;H04N7/26;

  • 国家 US

  • 入库时间 2022-08-21 16:06:34

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