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» Evaluating Image Retrieval
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VISUAL
1999
Springer
15 years 9 months ago
Relevance Feedback and Term Weighting Schemes for Content-Based Image Retrieval
This paper describes the application of techniques derived from text retrieval research to the content-based querying of image databases. Speci cally, the use of inverted les, fre...
David Squire, Wolfgang Müller 0002, Henning M...
JDCTA
2010
170views more  JDCTA 2010»
14 years 12 months ago
Color and Texture Feature For Content Based Image Retrieval
Content based image retrieval (CBIR) has been one of the most important research areas in computer science for the last decade. A retrieval method which combines color and texture...
Jianhua Wu, Zhaorong Wei, Youli Chang
ICIP
2007
IEEE
16 years 6 months ago
Dominant Color Structure Descriptor for Image Retrieval
-- A new Dominant Color Structure Descriptor (DCSD) is proposed in this paper. It is designed to provide an efficient way to represent both color and spatial structure information ...
Ka-Man Wong, Lai-Man Po, Kwok-Wai Cheung
171
Voted
ICMCS
2009
IEEE
142views Multimedia» more  ICMCS 2009»
15 years 2 months ago
Rotation invariant curvelet features for texture image retrieval
Effective texture feature is an essential component in any content based image retrieval system. In the past, spectral features, like Gabor and wavelet, have shown superior retrie...
Md. Monirul Islam, Dengsheng Zhang, Guojun Lu
221
Voted
BTW
2007
Springer
292views Database» more  BTW 2007»
15 years 9 months ago
Effective and Efficient Indexing for Large Video Databases
Abstract: Content based multimedia retrieval is an important topic in database systems. An emerging and challenging topic in this area is the content based search in video data. A ...
Christian Böhm, Peter Kunath, Alexey Pryakhin...