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Proceedings Paper

Cooperative classification of shared images
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Paper Abstract

We propose a method the for semi-automatic organization of photo albums. The method analyzes how different users organize their own pictures. The goal is to help the user in dividing his pictures into groups characterized by a similar semantic content. The method is semi-automatic: the user starts to assign labels to the pictures and unlabeled pictures are tagged with proposed labels. The user can accept the recommendation or made a correction. We use a suitable feature representation of the images to model the different classes that the users have collected. Then, we look for correspondences between the criteria used by the different users which are integrated using boosting. A quantitative evaluation of the proposed approach is obtained by simulating the amount of user interaction needed to annotate the albums of a set of members of the flickr R(trademark) photo-sharing community.

Paper Details

Date Published: 10 February 2010
PDF: 10 pages
Proc. SPIE 7540, Imaging and Printing in a Web 2.0 World; and Multimedia Content Access: Algorithms and Systems IV, 75400T (10 February 2010); doi: 10.1117/12.847979
Show Author Affiliations
Claudio Cusano, Univ. degli Studi di Milano-Bicocca (Italy)
Simone Santini, Univ. Autónoma de Madrid (Spain)


Published in SPIE Proceedings Vol. 7540:
Imaging and Printing in a Web 2.0 World; and Multimedia Content Access: Algorithms and Systems IV
Theo Gevers; Qian Lin; Raimondo Schettini; Zhigang Fan; Cees Snoek, Editor(s)

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