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» Content-Based Color Image Retrieval with Relevance Feedback
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SIGMOD
2003
ACM
237views Database» more  SIGMOD 2003»
14 years 7 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
EDBT
2006
ACM
172views Database» more  EDBT 2006»
14 years 7 months ago
Fast Query Point Movement Techniques with Relevance Feedback for Content-Based Image Retrieval
Abstract. Target search in content-based image retrieval (CBIR) systems refers to finding a specific (target) image such as a particular registered logo or a specific historical ph...
Danzhou Liu, Kien A. Hua, Khanh Vu, Ning Yu
CVIU
2002
111views more  CVIU 2002»
13 years 7 months ago
Interactive Content-Based Image Retrieval Using Relevance Feedback
Sean D. MacArthur, Carla E. Brodley, Avinash C. Ka...
CVPR
2006
IEEE
14 years 9 months ago
A Simple Bayesian Framework for Content-Based Image Retrieval
We present a Bayesian framework for content-based image retrieval which models the distribution of color and texture features within sets of related images. Given a userspecified ...
Katherine A. Heller, Zoubin Ghahramani
CIVR
2005
Springer
156views Image Analysis» more  CIVR 2005»
14 years 1 months ago
Content-Based Object Movie Retrieval by Use of Relevance Feedback
Abstract. Object movie refers to a set of images captured from different perspectives around a 3D object. Object movie is a good representation of a physical object because it can ...
Li-Wei Chan, Cheng-Chieh Chiang, Yi-Ping Hung