Learning consumer photo categories for semantic retrieval

Authors:
Joo-Hwee Lim;Jesse S. Jin
Affiliations:
Institute for Infocomm Research, Singapore;University of New South Wales, Sydney, Australia
Venue:
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Year:
2003

Citing 2
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Abstract

In this paper, we develop a computational learning framework to build a hierarchy of 11 consumer photo categories for semantic retrieval. Two levels of visual semantics are learned for image content and image category statistically. We evaluate the average precisions at top retrieved photos on 2400 heterogeneous consumer photos with very good result.