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SIGMOD
2003
ACM
237views Database» more  SIGMOD 2003»
14 years 4 months ago
Qcluster: Relevance Feedback Using Adaptive Clustering for Content-Based Image Retrieval
The learning-enhanced relevance feedback has been one of the most active research areas in content-based image retrieval in recent years. However, few methods using the relevance ...
Deok-Hwan Kim, Chin-Wan Chung
CVIU
2002
111views more  CVIU 2002»
13 years 4 months ago
Interactive Content-Based Image Retrieval Using Relevance Feedback
Sean D. MacArthur, Carla E. Brodley, Avinash C. Ka...
ICARCV
2006
IEEE
232views Robotics» more  ICARCV 2006»
13 years 10 months ago
Analysis of Relevance Feedback in Content Based Image Retrieval
: Relevance feedback in Content Based Image Retrieval(CBIR) has been an active field of research for quite some time now. Many schemes and techniques of relevance feedback exist w...
P. Suman Karthik, C. V. Jawahar
ICIP
2000
IEEE
14 years 6 months ago
Incorporate Support Vector Machines to Content-Based Image Retrieval with Relevant Feedback
By using relevance feedback [6], Content-Based Image Retrieval (CBIR) allows the user to retrieve images interactively. The user can select the most relevant images and provide a ...
Pengyu Hong, Qi Tian, Thomas S. Huang
VISUAL
1999
Springer
13 years 8 months ago
Relevance Feedback and Term Weighting Schemes for Content-Based Image Retrieval
This paper describes the application of techniques derived from text retrieval research to the content-based querying of image databases. Speci cally, the use of inverted les, fre...
David Squire, Wolfgang Müller 0002, Henning M...