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CVPR
2012
IEEE
13 years 8 months ago
Unsupervised feature learning framework for no-reference image quality assessment
In this paper, we present an efficient general-purpose objective no-reference (NR) image quality assessment (IQA) framework based on unsupervised feature learning. The goal is to...
Peng Ye, Jayant Kumar, Le Kang, David S. Doermann
TIP
2002
81views more  TIP 2002»
15 years 5 months ago
Fractal image compression with region-based functionality
Region-based functionality offered by the MPEG-4 video compression standard is also appealing for still images, for example to permit object-based queries of a still-image database...
Kamel Belloulata, Janusz Konrad
SPIESR
2001
174views Database» more  SPIESR 2001»
15 years 7 months ago
Mapping low-level image features to semantic concepts
Humans tend to use high-level semantic concepts when querying and browsing multimedia databases; there is thus, a need for systems that extract these concepts and make available a...
Daniela Stan, Ishwar K. Sethi
MMS
2008
15 years 6 months ago
Semantic interactive image retrieval combining visual and conceptual content description
We address the challenge of semantic gap reduction for image retrieval through an improved SVM-based active relevance feedback framework, together with a hybrid visual and concept...
Marin Ferecatu, Nozha Boujemaa, Michel Crucianu
ICDAR
1995
IEEE
15 years 9 months ago
A map acquisition, storage, indexing, and retrieval system
A system for the acquisition, storage, indexing, and retrieval of map images is presented. The input to this system are raster images of separate map layers and map composites. A ...
Hanan Samet, Aya Soffer