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PSIVT
2007
Springer
170views Multimedia» more  PSIVT 2007»
15 years 6 months ago
Markov Random Fields and Spatial Information to Improve Automatic Image Annotation
Content-based image retrieval (CBIR) is currently limited because of the lack of representational power of the low-level image features, which fail to properly represent the actual...
Carlos Hernández-Gracidas, Luis Enrique Suc...
ICIP
2003
IEEE
16 years 2 months ago
An ontology approach to object-based image retrieval
In this paper, an image retrieval methodology suited for search in large collections of heterogeneous images is presented. The proposed approach employs a fully unsupervised segme...
Vasileios Mezaris, Ioannis Kompatsiaris, Michael G...
96
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CORIA
2006
15 years 2 months ago
On Combining Text and MeSH Searches to Improve the Retrieval of MEDLINE documents
The MEDLINE database is the world largest repository of bio-medical abstracts. It is a central information entry point for most biologists despite the growing availability of full-...
Fabrice Camous, Stephen Blott, Alan F. Smeaton
HICSS
2006
IEEE
114views Biometrics» more  HICSS 2006»
15 years 6 months ago
Detecting Document Genre for Personalization of Information Retrieval
We report on the effectiveness of language models for personalization of retrieval results based on a searcher’s preference for document genre. In principle, such preferences ca...
Gheorghe Muresan, Catherine L. Smith, Michael Cole...
112
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CIKM
2003
Springer
15 years 5 months ago
Visual structures for image browsing
Content-Based Image Retrieval (CBIR) presents several challenges and has been subject to extensive research from many domains, such as image processing or database systems. Databa...
Ricardo da Silva Torres, Celmar G. Silva, Claudia ...