Video content analysis for automatic demographics recognition of users and videos
    1.
    发明授权
    Video content analysis for automatic demographics recognition of users and videos 有权
    用于用户和视频的自动人口统计识别的视频内容分析

    公开(公告)号:US08924993B1

    公开(公告)日:2014-12-30

    申请号:US13294156

    申请日:2011-11-10

    IPC分类号: H04H60/33

    摘要: A demographics analysis trains classifier models for predicting demographic attribute values of videos and users not already having known demographics.In one embodiment, the demographics analysis system trains classifier models for predicting demographics of videos using video features such as demographics of video uploaders, textual metadata, and/or audiovisual content of videos.In one embodiment, the demographics analysis system trains classifier models for predicting demographics of users (e.g., anonymous users) using user features based on prior video viewing periods of users. For example, viewing-period based user features can include individual viewing period statistics such as total videos viewed. Further, the viewing-period based features can include distributions of values over the viewing period, such as distributions in demographic attribute values of video uploaders, and/or distributions of viewings over hours of the day, days of the week, and the like.

    摘要翻译: 人口统计学分析训练分类器模型,用于预测未知人口统计信息的视频和用户的人口特性值。 在一个实施例中,人口统计分析系统训练分类器模型,以使用诸如视频上传者的人口统计学,文本元数据和/或视频的视听内容的视频特征来预测视频的人口统计。 在一个实施例中,人口统计分析系统训练分类器模型,以基于用户的先前视频观看时段使用用户特征来预测用户(例如,匿名用户)的人口统计。 例如,基于观看期的用户特征可以包括个体观看期间统计,例如观看的总视频。 此外,基于观看期间的特征可以包括在观看期间的值的分布,诸如视频上传者的人口统计属性值中的分布,和/或一天中的几天,星期几等的观看次数分布。