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» Content-Based Image Retrieval Using Multiple Representations
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ICPR
2004
IEEE
15 years 10 months ago
Multiscale Fourier Descriptor for Shape-Based Image Retrieval
The shapes occurring in the images are important in the content-based image retrieval. In this paper we introduce a new Fourier-based descriptor for the characterization of the sh...
Iivari Kunttu, Leena Lepistö, Juhani Rauhamaa...
ISBI
2009
IEEE
15 years 4 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...
VISUAL
2005
Springer
15 years 3 months ago
Compressed Domain Image Retrieval Using JPEG2000 and Gaussian Mixture Models
We describe and compare three probabilistic ways to perform Content Based Image Retrieval (CBIR) in compressed domain using images in JPEG2000 format. Our main focus are arbitrary ...
Alexandra Teynor, Wolfgang Müller, Wolfgang L...
ECCV
1998
Springer
15 years 11 months ago
Projective and Illumination Invariant Representation of Disjoint Shapes
We describe a new projectively invariant representation of disjoint contour groups which is suitable for shape-based retrieval from an image database. It consists of simultaneous ...
Sergei Startchik, Ruggero Milanese, Thierry Pun
ICIP
2008
IEEE
15 years 11 months ago
Long term learning for image retrieval over networks
In this paper, we present a long term learning system for content based image retrieval over a network. Relevant feedback is used among different sessions to learn both the simila...
David Picard, Arnaud Revel, Matthieu Cord