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» Capturing image semantics with low-level descriptors
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CVPR
2005
IEEE
13 years 10 months ago
Mapping Low-Level Features to High-Level Semantic Concepts in Region-Based Image Retrieval
In this a novel supervised learning method is proposed to map low-level visualfeatures to high-level semantic conceptsfor region-based image retrieval. The contributions of thispa...
Wei Jiang, Kap Luk Chan, Mingjing Li, HongJiang Zh...
KES
2006
Springer
13 years 4 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...
ICIP
2001
IEEE
14 years 6 months ago
Capturing image semantics with low-level descriptors
: We conducted psychophysical experiments to gain insight into the semantic categories that guide the human perception of image similarity. We analyzed the perceptual data using mu...
Aleksandra Mojsilovic, Bernice E. Rogowitz
ESWS
2005
Springer
13 years 10 months ago
Semantic Annotation of Images and Videos for Multimedia Analysis
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...
Stephan Bloehdorn, Kosmas Petridis, Carsten Saatho...
DAGSTUHL
2006
13 years 6 months ago
Are we Ready to Embrace the Semantic Web?
action from low level features to high level semantics. Owing to the proliferation of multimedia content in the internet, there is widespread interest in the semantic web community...
Shankar Vembu, Stephan Baumann