Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ICME.2008.4607697 | 2008 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-4 |
Keywords | Field | DocType |
dissimilarity measure, feature space, content-based image retrieval | Histogram,Distance measurement,Feature vector,Pattern recognition,Information retrieval,Computer science,Image retrieval,Feature extraction,Content based retrieval,Artificial intelligence,Vector space model,Content-based image retrieval | Conference |
Citations | PageRank | References |
24 | 1.17 | 12 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rui Hu | 1 | 85 | 5.46 |
| Stefan M. Rüger | 2 | 499 | 51.53 |
| Dawei Song | 3 | 436 | 41.48 |
| Haiming Liu | 4 | 116 | 14.85 |
| Zi Huang | 5 | 2816 | 118.89 |