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    • 8. 发明申请
    • DETECTING RECURRING THEMES IN CONSUMER IMAGE COLLECTIONS
    • 检测消费者图像收集中的重要问题
    • WO2013032755A1
    • 2013-03-07
    • PCT/US2012/051541
    • 2012-08-20
    • EASTMAN KODAK COMPANYDAS, MadirakshiLOUI, Alexander C.
    • DAS, MadirakshiLOUI, Alexander C.
    • G06F17/30
    • G06K9/6212G06F17/30056G06F17/30265
    • A method of identifying groups of related digital images in a digital image collection, comprising: analyzing each of the digital images to generate associated feature descriptors related to image content or image capture conditions; storing the feature descriptors associated with the digital images in a metadata database; automatically analyzing the metadata database to identify a plurality of frequent itemsets, wherein each of the frequent itemsets is a co- occurring feature descriptor group that occurs in at least a predefined fraction of the digital images; determining a probability of occurrence for each the identified frequent itemsets; determining a quality score for each of the identified frequent itemsets responsive to the determined probability of occurrence; ranking the frequent itemsets based at least on the determined quality scores; and identifying one or more groups of related digital images corresponding to one or more of the top ranked frequent itemsets.
    • 一种在数字图像集合中识别相关数字图像组的方法,包括:分析每个数字图像以生成与图像内容或图像捕获条件相关的相关联的特征描述符; 将与数字图像相关联的特征描述符存储在元数据数据库中; 自动分析元数据数据库以识别多个频繁项集,其中每个频繁项集是在数字图像的至少预定义分数中发生的共同出现的特征描述符组; 确定每个所识别的频繁项集的出现概率; 响应于确定的发生概率确定每个所识别的频繁项集的质量得分; 至少基于确定的质量得分对频繁项集进行排序; 以及识别与一个或多个最高排名的频繁项集相对应的一组或多组相关数字图像。