| 摘要 |
PROBLEM TO BE SOLVED: To provide a system for segmenting images into coarse regions such as foreground and background and deriving a measured of the total similarity from the similarity between the foreground and background regions. SOLUTION: An event clustering method uses foreground and background segmentation for clustering images from a group into similar events. Initially, each image is divided into a plurality of blocks, thereby providing block-based images. Utilizing a block-by-block comparison, each block-base image is segmented into a plurality of regions comprising at least a foreground and a background. One or more luminosity, color, position, or size features are extracted from the regions and the extracted features are utilized to estimate and compare the similarity of the regions comprising the foreground and background in successive images in the group. Then, a measure of the total similarity between successive images is computed, thereby providing image distance between successive images, and event clusters are delimited from the image distance.
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