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» Image Retrieval and Annotation Using Maximum Entropy
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KES
2006
Springer
13 years 7 months ago
M-OntoMat-Annotizer: Image Annotation Linking Ontologies and Multimedia Low-Level Features
Annotations of multimedia documents typically have been pursued in two different directions. Either previous approaches have focused on low level descriptors, such as dominant colo...
Kosmas Petridis, Dionysios Anastasopoulos, Carsten...
CLEF
2008
Springer
13 years 8 months ago
Diversity in Image Retrieval: DCU at ImageCLEFPhoto 2008
DCU participated in the ImageCLEF 2008 photo retrieval task, which aimed to evaluate diversity in Image Retrieval, submitting runs for both the English and Random language annotati...
Neil O'Hare, Peter Wilkins, Cathal Gurrin, Eamonn ...
CLEF
2007
Springer
14 years 1 months ago
MIRACLE at ImageCLEFanot 2007: Machine Learning Experiments on Medical Image Annotation
This paper describes the participation of MIRACLE research consortium at the ImageCLEF Medical Image Annotation task of ImageCLEF 2007. Our areas of expertise do not include image...
Sara Lana-Serrano, Julio Villena-Román, Jos...
PSIVT
2007
Springer
170views Multimedia» more  PSIVT 2007»
14 years 1 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...
CLEF
2007
Springer
14 years 1 months ago
Speeding Up IDM without Degradation of Retrieval Quality
The Image Distortion Model (IDM) has shown good retrieval quality in previous runs of the medical automatic annotation task of previous ImageCLEF workshops. However, one of its li...
Michael Springmann, Heiko Schuldt