TY - GEN
T1 - Dissimilarity measures for content-based image retrieval
AU - Hu, Rui
AU - Rüger, Stefan
AU - Song, Dawei
AU - Liu, Haiming
AU - Huang, Zi
PY - 2008
Y1 - 2008
N2 - Dissimilarity measurement plays a crucial role in content-based image retrieval. In this paper, 16 core dissimilarity measures are introduced and evaluated. We carry out a systematic performance comparison on three image collections, Corel, Getty and Trecvid2003, with 7 different feature spaces. Two search scenarios are considered: single image queries based on the Vector Space Model, and multi-image queries based on k-Nearest Neighbours search. A number of observations are drawn, which will lay a foundation for developing more effective image search technologies.
AB - Dissimilarity measurement plays a crucial role in content-based image retrieval. In this paper, 16 core dissimilarity measures are introduced and evaluated. We carry out a systematic performance comparison on three image collections, Corel, Getty and Trecvid2003, with 7 different feature spaces. Two search scenarios are considered: single image queries based on the Vector Space Model, and multi-image queries based on k-Nearest Neighbours search. A number of observations are drawn, which will lay a foundation for developing more effective image search technologies.
KW - Content-based image retrieval
KW - Dissimilarity measure
KW - Feature space
UR - https://www.scopus.com/pages/publications/54049134897
U2 - 10.1109/ICME.2008.4607697
DO - 10.1109/ICME.2008.4607697
M3 - Conference contribution
AN - SCOPUS:54049134897
SN - 9781424425716
T3 - 2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings
SP - 1365
EP - 1368
BT - 2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings
PB - IEEE Computer Society
T2 - 2008 IEEE International Conference on Multimedia and Expo, ICME 2008
Y2 - 23 June 2008 through 26 June 2008
ER -