Image analysis – Pattern recognition – Classification
Reexamination Certificate
2005-07-05
2005-07-05
Bali, Vikkram (Department: 2623)
Image analysis
Pattern recognition
Classification
C382S173000
Reexamination Certificate
active
06915011
ABSTRACT:
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-based 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 distances.
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Jeanson Matthieu
Loui Alexander C.
Sun Zhaohui
Bali Vikkram
Eastman Kodak Company
Woods David M.
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