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    • 1. 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
    • US20130051670A1
    • 2013-02-28
    • US13221078
    • 2011-08-30
    • Madirakshi DasAlexander C. Loui
    • Madirakshi DasAlexander C. Loui
    • G06K9/46
    • 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; 自动分析所述元数据数据库以识别多个频繁项集,其中所述频繁项集中的每一个是发生在所述数字图像的至少预定义分数中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; 响应于所确定的发生概率,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。
    • 6. 发明申请
    • METHOD FOR FAST SCENE MATCHING
    • 用于快速场景匹配的方法
    • US20120002868A1
    • 2012-01-05
    • US12828330
    • 2010-07-01
    • Alexander C. LouiMadirakshi DasXu Chen
    • Alexander C. LouiMadirakshi DasXu Chen
    • G06K9/62G06K9/48
    • G06K9/00677
    • A method for identifying digital images having matching backgrounds from a collection of digital images, comprising using a processor to perform the steps of: determining a set of one or more feature values for each digital image in the collection of digital images, wherein the set of feature values includes an edge compactness feature value that is an indication of the number of objects in the digital image that are useful for scene matching; determining a subset of the collection of digital images that are good candidates for scene matching by applying a classifier responsive to the determined feature values; applying a scene matching algorithm to the subset of the collection of digital images to identify groups of digital images having matching backgrounds; and storing an indication of the identified groups of digital images having matching backgrounds in a processor-accessible memory.
    • 一种用于从数字图像集合中识别具有匹配背景的数字图像的方法,包括使用处理器执行以下步骤:确定数字图像集合中的每个数字图像的一个或多个特征值的集合,其中所述一组 特征值包括边缘紧凑特征值,其是数字图像中用于场景匹配的对象的数量的指示; 通过响应于所确定的特征值应用分类器来确定数字图像的集合的子集,其是场景匹配的良好候选; 将场景匹配算法应用于数字图像集合的子集,以识别具有匹配背景的数字图像组; 以及将所识别的具有匹配背景的数字图像组的指示存储在处理器可访问存储器中。
    • 9. 发明授权
    • Detecting recurring themes in consumer image collections
    • 检测消费者图像集合中的重复主题
    • US08625904B2
    • 2014-01-07
    • US13221078
    • 2011-08-30
    • Madirakshi DasAlexander C. Loui
    • Madirakshi DasAlexander C. Loui
    • G06K9/68
    • 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出现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; 响应于所确定的发生概率,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。