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    • 6. 发明申请
    • SYSTEM AND METHOD FOR DETERMINING CO-OCCURRENCE GROUPS OF IMAGES
    • 用于确定图像组合的系统和方法
    • US20120275666A1
    • 2012-11-01
    • US13095733
    • 2011-04-27
    • Yuli Gao
    • Yuli Gao
    • G06K9/00
    • G06K9/00677
    • A system and a method are disclosed that determine images with co-occurrence groups of individuals from an image collection. A value of a similarity metric is computed for each pair of images of the image collection, the value of the similarity metric being computed based on a comparison of the number of individuals in common between the images of the pair and the total number of individuals identified in both images of the pair. The collection of images is clustered based on the computed values of the similarity metric. At least one co-occurrence group is determined based on the results of the clustering, where a co-occurrence group is determined as a cluster of images that have a similar combination of individuals.
    • 公开了一种系统和方法,其从图像集合中确定具有个体的同现组的图像。 对于图像集合的每对图像计算相似性度量的值,基于对对象的图像和所识别的个体的总数之间的共同个体的数量的比较来计算相似度度量的值 在两个图像的对。 基于相似性度量的计算值,对图像的集合进行聚类。 基于聚类的结果确定至少一个同现组,其中同现组被确定为具有相似组合的个体的图像簇。
    • 7. 发明授权
    • System and method for determining co-occurrence groups of images
    • 用于确定图像同现组的系统和方法
    • US08923629B2
    • 2014-12-30
    • US13095733
    • 2011-04-27
    • Yuli Gao
    • Yuli Gao
    • G06K9/62G06K9/00
    • G06K9/00677
    • A system and a method are disclosed that determine images with co-occurrence groups of individuals from an image collection. A value of a similarity metric is computed for each pair of images of the image collection, the value of the similarity metric being computed based on a comparison of the number of individuals in common between the images of the pair and the total number of individuals identified in both images of the pair. The collection of images is clustered based on the computed values of the similarity metric. At least one co-occurrence group is determined based on the results of the clustering, where a co-occurrence group is determined as a cluster of images that have a similar combination of individuals.
    • 公开了一种系统和方法,其从图像集合中确定具有个体的同现组的图像。 对于图像集合的每对图像计算相似性度量的值,基于对对象的图像和所识别的个体的总数之间的共同个体的数量的比较来计算相似度度量的值 在两个图像的对。 基于相似性度量的计算值,对图像的集合进行聚类。 基于聚类的结果确定至少一个同现组,其中同现组被确定为具有相似组合的个体的图像簇。