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» Supporting Content-based Queries over Images in MARS
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ICMCS
2000
IEEE
170views Multimedia» more  ICMCS 2000»
13 years 9 months ago
Update Relevant Image Weights for Content-Based Image Retrieval using Support Vector Machines
Relevance feedback [1] has been a powerful tool for interactive Content-Based Image Retrieval (CBIR). During the retrieval process, the user selects the most relevant images and p...
Qi Tian, Pengyu Hong, Thomas S. Huang
ICMCS
1997
IEEE
132views Multimedia» more  ICMCS 1997»
13 years 9 months ago
Supporting Content-based Queries over Images in MARS
Sharad Mehrotra, Yong Rui, Michael Ortega, Thomas ...
TKDE
1998
184views more  TKDE 1998»
13 years 5 months ago
Supporting Ranked Boolean Similarity Queries in MARS
To address the emerging needs of applications that require access to and retrieval of multimedia objects, we are developing the Multimedia Analysis and Retrieval System (MARS) 29]...
Michael Ortega, Yong Rui, Kaushik Chakrabarti, Kri...
MM
1997
ACM
133views Multimedia» more  MM 1997»
13 years 9 months ago
Supporting Similarity Queries in MARS
To address the emerging needs of applications that require access to and retrieval of multimediaobjects, we are developing the Multimedia Analysis and Retrieval System (MARS) in o...
Michael Ortega, Yong Rui, Kaushik Chakrabarti, Sha...
MTA
2008
146views more  MTA 2008»
13 years 5 months ago
A survey of browsing models for content based image retrieval
The problem of content based image retrieval (CBIR) has traditionally been investigated within a framework that emphasises the explicit formulation of a query: users initiate an au...
Daniel Heesch