The Community for Technology Leaders
2006 IEEE International Conference on Multimedia and Expo (2006)
Toronto, ON, Canada
July 9, 2006 to July 12, 2006
ISBN: 1-4244-0366-7
pp: 1769-1772
Khanh Vu , Department of Computer Science, University of Central Florida, Orlando, Florida 32816-2362
Kien Hua , Department of Computer Science, University of Central Florida, Orlando, Florida 32816-2362
Soontharee Koompairojn , Department of Computer Science, University of Central Florida, Orlando, Florida 32816-2362
ABSTRACT
In a typical image retrieval system, all visual features of query images are used to determine image similarity. Thus, users are left to decidewhether or not to include images that not only contain desirable features but also irrelevant ones. Fewer examples or a contaminated set of more could compromise the retrieval effectiveness of most similarity measures. In this paper, we extend our previous approach that allows users define queries by specifying relevant features present in image examples. The extended technique support queries decomposed in multiple clusters, each forming a subquery. Our experimental results have shown a remarkable improvement in retrieval performance.
INDEX TERMS
null
CITATION

K. Vu, S. Koompairojn and K. Hua, "Image Retrieval Based on User-Specified Features in Multi-Cluster Queries," 2006 IEEE International Conference on Multimedia and Expo(ICME), Toronto, ON, Canada, 2006, pp. 1769-1772.
doi:10.1109/ICME.2006.262894
83 ms
(Ver 3.3 (11022016))