Evaluation of content-based features for user-centered image retrieval in small media collections

Horst Eidenberger; Maia Zaharieva

doi:10.1117/12.753725

28 January 2008 Evaluation of content-based features for user-centered image retrieval in small media collections

Horst Eidenberger, Maia Zaharieva

Proceedings Volume 6820, Multimedia Content Access: Algorithms and Systems II; 68200J (2008) https://doi.org/10.1117/12.753725
Event: Electronic Imaging, 2008, San Jose, California, United States

Abstract

The experiments described in this paper indicate that under certain conditions content-based features are not required for efficient user-centred image retrieval in small media collections. The importance of feature selection drops dramatically if classification is used for retrieval (e.g. if Support Vector Machines are used) and only little user feedback is available. In this situation simple image features and even random features perform equally well as sophisticated signal processing-based features (e.g. the content-based MPEG-7 image descriptors). Practically relevant applications for these findings are retrieval on mobile devices and in heterogeneous (e.g. ad hoc generated) media collections.

Citation Download Citation

Horst Eidenberger and Maia Zaharieva "Evaluation of content-based features for user-centered image retrieval in small media collections", Proc. SPIE 6820, Multimedia Content Access: Algorithms and Systems II, 68200J (28 January 2008); https://doi.org/10.1117/12.753725

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