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» Features for image retrieval: an experimental comparison
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ICIP
2003
IEEE
14 years 9 months ago
Performance evaluation of Euclidean/correlation-based relevance feedback algorithms in content-based image retrieval systems
In this paper, we evaluate and investigate two main types of relevance feedback algorithms; the Euclidean and the correlation?based approaches. In the first case, we examine heuri...
Anastasios D. Doulamis, Nikolaos D. Doulamis
ICMCS
2008
IEEE
186views Multimedia» more  ICMCS 2008»
14 years 1 months ago
Dissimilarity measures for content-based image retrieval
Dissimilarity measurement plays a crucial role in contentbased image retrieval. In this paper, sixteen core dissimilarity measures are introduced and evaluated. We carry out a sys...
Rui Hu, Stefan M. Rüger, Dawei Song, Haiming ...
ISBI
2009
IEEE
14 years 2 months ago
Bridging the Semantic Gap Using Ranking Svm for Image Retrieval
One of the main challenges for Content-Based Image Retrieval (CBIR) is to achieve meaningful mappings between the high-level semantic concepts and the low-level visual features in...
Haiying Guan, Sameer Antani, L. Rodney Long, Georg...
PREMI
2009
Springer
14 years 1 months ago
A Bayesian Approach to Hybrid Image Retrieval
Content based image retrieval (CBIR) has been well studied in the computer vision and multimedia community. Content free image retrieval (CFIR) methods, and their complementary cha...
Pradhee Tandon, C. V. Jawahar
ICIP
2004
IEEE
14 years 9 months ago
Feature statistical retrieval applied to content-based copy identification
In many image or video retrieval systems, the search of similar objects in the database includes a spatial access method to a multidimensional feature space. This step is generall...
Alexis Joly, Carl Frélicot, Olivier Buisson