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- Consumer Photo Clustering and Visualization
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SummaryAn interactive framework for organizing personal digital image collections. We introduce the detection of bracketing (two or more photographs of the same subject, made using different aperture/speed settings), and a novel clustering algorithm (based on Ward's algorithm) to exploit image sequence information in each roll of film. Images within a roll of film (and accross rolls) are clustered hierarchically and presented to the user, who modifies the clusters to organize his collection. PeopleStudent Researchers: Alejandro Jaimes, Ana B. Benitez Faculty: Prof. Shih-Fu Chang Collaborators: Alexander C. Loui of Kodak Contact: Shih-Fu Chang PublicationsA. Jaimes, S.-F. Chang and
A. C. Loui, Duplicate
Detection in Consumer Photography and News Video, ACM Multimedia 2002,
Juan Les Pines, France, Dec. 2002. A. Jaimes, A. B. Benitez, S.-F.
Chang, and A. C. Loui, Discovering
Recurrent Visual Semantics in Consumer Photographs, Proceedings of
IEEE 2000 Conference on Image Processing (ICIP-2000), Invited Paper on
Special Session on Semantic Feature Extraction in Consumer Contents, Vancouver,
Canada, Sep 10-13, 2000.
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