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» Ontology-Based Image Retrieval
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137
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PR
2006
119views more  PR 2006»
15 years 3 months ago
Performance evaluation and optimization for content-based image retrieval
Performance evaluation of content-based image retrieval (CBIR) systems is an important but still unsolved problem. The reason for its importance is that only performance evaluatio...
Julia Vogel, Bernt Schiele
155
Voted
ISBI
2009
IEEE
15 years 10 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...
123
Voted
PREMI
2009
Springer
15 years 10 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
116
Voted
WACV
2002
IEEE
15 years 8 months ago
Retrieving Faces by the PIFS Fractal Code
The use of fractals in computer graphics and vision in modeling unstructured images, and compressing images, is well known. However, the use of fractals for indexing images in con...
Sharat Chandran, Soumitra Kar
MM
2010
ACM
208views Multimedia» more  MM 2010»
15 years 3 months ago
A new approach to cross-modal multimedia retrieval
The problem of joint modeling the text and image components of multimedia documents is studied. The text component is represented as a sample from a hidden topic model, learned wi...
Nikhil Rasiwasia, Jose Costa Pereira, Emanuele Cov...