Abstract | ||
---|---|---|
A major bottleneck in content-based image retrieval (CBIR) systems or search engines is the large gap between low-level image features used to index images and high-level semantic contents of images. One solution to this bottleneck is to apply relevance ... |
Year | DOI | Venue |
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2003 | 10.1023/A:1023674722438 | World Wide Web |
Keywords | DocType | Volume |
content-based image retrieval,semantics,monotonic tree,image annotation | Journal | 6 |
Issue | ISSN | Citations |
2 | 1573-1413 | 10 |
PageRank | References | Authors |
0.74 | 17 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yuqing Song | 1 | 181 | 22.44 |
Wei Wang | 2 | 51 | 4.27 |
Aidong Zhang | 3 | 2970 | 405.63 |