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» Scalable object-based image retrieval
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ICCV
2011
IEEE
13 years 9 months ago
HEAT: Iterative Relevance Feedback with One Million Images
It has been shown repeatedly that iterative relevance feedback is a very efficient solution for content-based image retrieval. However, no existing system scales gracefully to hu...
Nicolae Suditu, Francois Fleuret
MMS
2006
14 years 9 months ago
Collaborative image retrieval via regularized metric learning
In content-based image retrieval (CBIR), relevant images are identified based on their similarities to query images. Most CBIR algorithms are hindered by the semantic gap between ...
Luo Si, Rong Jin, Steven C. H. Hoi, Michael R. Lyu
KDD
2012
ACM
179views Data Mining» more  KDD 2012»
13 years 1 days ago
Web image prediction using multivariate point processes
In this paper, we investigate a problem of predicting what images are likely to appear on the Web at a future time point, given a query word and a database of historical image str...
Gunhee Kim, Fei-Fei Li, Eric P. Xing
EDBT
2009
ACM
134views Database» more  EDBT 2009»
15 years 1 months ago
Caching content-based queries for robust and efficient image retrieval
In order to become an effective complement to traditional Web-scale text-based image retrieval solutions, content-based image retrieval must address scalability and efficiency iss...
Fabrizio Falchi, Claudio Lucchese, Salvatore Orlan...
91
Voted
CIVR
2007
Springer
119views Image Analysis» more  CIVR 2007»
15 years 3 months ago
An in-memory relevance feedback technique for high-performance image retrieval systems
Content-based image retrieval with relevant feedback has been widely adopted as the query model of choice for improved effectiveness in image retrieval. The effectiveness of thi...
Ning Yu, Khanh Vu, Kien A. Hua