Semantics-sensitive image retrieval: an information fusion approach

Authors:
Janghyun Yoon;N. Jayant
Affiliations:
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA;Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Venue:
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Year:
2003

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Abstract

We present an information fusion approach to designing a semantics-sensitive image retrieval system. Our approach is based on the three different types of classifiers, which extract and provide semantic cues of image regions. This local information from the proposed classifiers is fused together to generate the semantic labels of images. The experimental results show that our information fusion approach makes image retrieval more semantics-sensitive and improves the image retrieval performance significantly.