Photo retrieval from personal memories using generic concepts

Authors:
Rui M. Jesus;Arnaldo J. Abrantes;Nuno Correia
Affiliations:
Multimedia and Machine Learning Group, Instituto Superior de Engenharia de Lisboa, Lisboa, Portugal;Multimedia and Machine Learning Group, Instituto Superior de Engenharia de Lisboa, Lisboa, Portugal;Interactive Multimedia Group, DI/FCT, New University of Lisbon, Monte da Caparica, Portugal
Venue:
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
Year:
2006

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Abstract

This paper presents techniques for retrieving photos from personal memories collections using generic concepts that the users specify. It is part of a larger project for capturing, storing, and retrieving personal memories in different contexts of use. Semantic concepts are obtained by training binary classifiers using the Regularized Least Squares Classifier (RLSC)and can be combined to express more complex concepts. The results that were obtained so far are quite good and by adding more low level features, better results are possible. The paper describes the proposed approach, the classifier and features, and the results that were obtained.