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» Feature selection for content-based image retrieval
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ISMIS
2003
Springer
14 years 20 days ago
Space Transformation Based Approach for Effective Content-Based Image Retrieval
In this paper, we extend the work done by Choubey and Raghavan, which proposed an approach to content-based image retrieval that uses the space transformation methods proposed by G...
Biren Shah, Vijay V. Raghavan
CISST
2004
164views Hardware» more  CISST 2004»
13 years 9 months ago
Probabilistic Region Relevance Learning for Content-Based Image Retrieval
Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...
Iker Gondra, Douglas R. Heisterkamp
CAISE
2006
Springer
13 years 11 months ago
The Meaning of an Image in Content-Based Image Retrieval
One of the major problems in CBIR is the so-called `semantic gap': the difference between low-level features, extracted from images, and the high-level `information need'...
Walter ten Brinke, David McG. Squire, John Bigelow
3DPVT
2002
IEEE
207views Visualization» more  3DPVT 2002»
14 years 13 days ago
Content-Based Image Retrieval from Large Medical Databases
The main goal of content based image retrieval is to e ciently retrieve images that are visually similar to a query image. In this paper we will focus on content based image retri...
Avi Kak, Christina Pavlopoulou
CAIVD
1998
182views more  CAIVD 1998»
13 years 8 months ago
Content-Based 3D Neuroradiologic Image Retrieval: Preliminary Results
A content-based 3D neuroradiologic image retrieval system is being developed at the Robotics Institute of CMU. The special characteristics of this system include: 1 directly deali...
Yanxi Liu, William E. Rothfus, Takeo Kanade