11 search results - page 1 / 3 » HEAT: Iterative Relevance Feedback with One Million Images |
ICCV
2011
IEEE
12 years 4 months ago
2011
IEEE
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...
ICIP
2001
IEEE
14 years 6 months ago
2001
IEEE
In this paper, an optimal relevance algorithm is proposed, which adapts the response of a content-based image retrieval (CBIR) system to the user's information needs. In part...
ICASSP
2007
IEEE
13 years 11 months ago
2007
IEEE
Many content-based image retrieval applications suffer from small sample set and high dimensionality problems. Relevance feedback is often used to alleviate those problems. In thi...
TKDE
2008
13 years 4 months ago
2008
Relevance feedback (RF) is an iterative process, which refines the retrievals by utilizing the user's feedback on previously retrieved results. Traditional RF techniques solel...
AMR
2006
Springer
13 years 6 months ago
2006
Springer
Inaccurate or ambiguous expressions in queries lead to poor results in information retrieval. We assume that iterative user feedback can improve the quality of queries. To this end...