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DETECTING RECURRING THEMES IN CONSUMER IMAGE COLLECTIONS

机译:在消费者图像集合中检测恢复主题

摘要

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.
机译:一种在数字图像集合中标识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目集,其中每个频繁项目集是在至少预定比例的数字图像中出现的同现特征描述符组;确定每个已识别的频繁项目集的出现概率;响应于所确定的出现概率,为每个所标识的频繁项目集确定质量得分;至少基于所确定的质量得分对频繁项目集进行排名;确定对应于排名靠前的频繁项集中的一个或多个的一组或多组相关数字图像。

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