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    • 2. 发明申请
    • ITERATIVE, MAXIMALLY PROBABLE, BATCH-MODE COMMERCIAL DETECTION FOR AUDIOVISUAL CONTENT
    • 迭代,最大可能的,视听内容的批量商业检测
    • US20140126887A1
    • 2014-05-08
    • US14154999
    • 2014-01-14
    • Interval Licensing LLC
    • Michael L. Harville
    • G11B27/031H04N9/87
    • G11B27/031H04N5/76H04N5/781H04N5/782H04N5/85H04N5/907H04N7/163H04N9/87H04N21/438H04N21/44008H04N21/812Y10S358/908
    • Identification of starting and ending times of commercial breaks and commercials within those commercial breaks found in audiovisual content is disclosed. A solution to a “batch optimization” problem is used in which commercial locations within a set of audiovisual content are detected as a group by choosing a set of commercial locations which optimizes a cost function which can include considerations of, for example, 1) one or more cues, 2) relative locations of commercials within the audiovisual content, and/or 3) probability models based on statistics obtained regarding characteristics of typical commercial and commercial breaks. Optimization can be done over the total set of commercial location decisions, rather than on a per-commercial basis. Additionally, the cost function can be iteratively evaluated and many more types of cues and combinations of cues can be used in detection of commercials.
    • 披露在视听内容中发现的商业休息时间和商业广告的开始和结束时间的确定。 使用“批量优化”问题的解决方案,其中通过选择优化成本函数的一组商业位置来检测一组视听内容内的商业位置,该商业位置可以包括例如1) 或更多提示,2)视听内容中广告的相对位置,和/或3)基于针对典型商业和商业休息特征获得的统计数据的概率模型。 可以对整个商业定位决策进行优化,而不是在每个商业基础上进行。 另外,可以迭代地评估成本函数,并且可以在广告的检测中使用更多类型的提示和提示的组合。