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» Landmark image retrieval using visual synonyms
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ISMAR
2009
IEEE
14 years 2 months ago
A setup for evaluating detectors and descriptors for visual tracking
In many cases, visual tracking is based on detecting, describing, and then matching local features. A variety of algorithms for these steps have been proposed and used in tracking...
Steffen Gauglitz, Tobias Höllerer, Petra Krah...
MM
2009
ACM
137views Multimedia» more  MM 2009»
14 years 2 months ago
Lightweight web image reranking
Web image search is inspired by text search techniques; it mainly relies on indexing textual data that surround the image file. But retrieval results are often noisy and image pro...
Adrian Popescu, Pierre-Alain Moëllic, Ioannis...
MM
2006
ACM
217views Multimedia» more  MM 2006»
14 years 1 months ago
IGroup: a web image search engine with semantic clustering of search results
In this demo, we present IGroup, a Web image search engine that organizes the search results into semantic clusters. Different from all existing Web image search results clusterin...
Feng Jing, Changhu Wang, Yuhuan Yao, Kefeng Deng, ...
SIGIR
2010
ACM
13 years 11 months ago
Image search by concept map
In this paper, we present a novel image search system, image search by concept map. This system enables users to indicate not only what semantic concepts are expected to appear bu...
Hao Xu, Jingdong Wang, Xian-Sheng Hua, Shipeng Li
CIVR
2006
Springer
13 years 11 months ago
Query by Semantic Example
A combination of query-by-visual-example (QBVE) and semantic retrieval (SR), denoted as query-by-semantic-example (QBSE), is proposed. Images are labeled with respect to a vocabula...
Nikhil Rasiwasia, Nuno Vasconcelos, Pedro J. Moren...