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ICIP
2001
IEEE
12 years 2 months ago
A recursive optimal relevance feedback scheme for content based image retrieval
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...
Anastasios D. Doulamis, Nikolaos D. Doulamis
ICIP
2002
IEEE
12 years 3 months ago
Optimal recursive similarity measure estimation for interactive content-based image retrieval
In this paper, a new recursive algorithm is proposed for optimal estimation of similarity measure used in a content-based retrieval system. This is performed through a relevance f...
Anastasios D. Doulamis, Nikolaos D. Doulamis
ISM
2008
IEEE
108views Multimedia» more  ISM 2008»
11 years 7 months ago
Optimization of Content-Based Image Retrieval Functions
Feature extraction and similarity measurement are two important operations in content-based image retrieval systems. We optimize and vectorize typical feature extraction algorithm...
Asadollah Shahbahrami, Ben H. H. Juurlink
ICPR
2002
IEEE
12 years 2 months ago
Content Based Image Retrieval Using Optimum Peano Scan
We present a new technique for content based image retrieval where feature vector to be matched is very much specific to the query image. A particular Peano scan which is optimal ...
N. Jhanwar, Subhasis Chaudhuri, Guna Seetharaman, ...
CISST
2004
164views Hardware» more  CISST 2004»
11 years 2 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
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