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    • 12. 发明申请
    • ADDITIVE CLUSTERING OF IMAGES LACKING TEMPORAL INFORMATION
    • 图像的附加聚类缺少时间信息
    • WO2006096384A1
    • 2006-09-14
    • PCT/US2006/006990
    • 2006-02-24
    • EASTMAN KODAK COMPANYDAS, MadirakshiLOUI, Alexander C.
    • DAS, MadirakshiLOUI, Alexander C.
    • G06F17/30
    • G06F17/30256G06F17/30265
    • A database has chronologically ordered images classified into event groups based upon a time difference threshold, and into subgroups based upon a similarity measure. In a method and system for combining new images into such a database, new image are ordered into clusters based upon assessed image features. A representative image is selected in each cluster. A database segment chronologically overlapping the new images is designated and a set of database images similar to each representative image are identified in the segment. Different subgroups including one or more retrieved images are associated with each of cluster to provide matched subgroups. The new images are assigned to matched subgroups associated with respective clusters.
    • 数据库根据时差阈值按时间顺序排列成事件组的图像,并且基于相似性度量进入子组。 在将新图像组合到这样的数据库中的方法和系统中,基于评估的图像特征将新图像排序成簇。 在每个集群中选择一个代表性的图像。 指定与时间顺序重叠新图像的数据库段,并且在段中识别与每个代表图像相似的一组数据库图像。 包括一个或多个检索到的图像的不同子组与每个簇相关联以提供匹配的子组。 将新图像分配给与相应簇相关联的匹配子组。