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» Content-based image retrieval by feature point matching
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ICMCS
2009
IEEE
142views Multimedia» more  ICMCS 2009»
13 years 5 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
ICPR
2008
IEEE
14 years 1 months ago
Interactive feature visualization for image retrieval
Most systems for content based image retrieval (CBIR) employ low level image features as a similarity measure. The problem of CBIR systems is that they are a “black box” to th...
Johannes Imo, Sebastian Klenk, Gunther Heidemann
PREMI
2009
Springer
14 years 1 months ago
A Bayesian Approach to Hybrid Image Retrieval
Content based image retrieval (CBIR) has been well studied in the computer vision and multimedia community. Content free image retrieval (CFIR) methods, and their complementary cha...
Pradhee Tandon, C. V. Jawahar
ICIP
2003
IEEE
14 years 9 months ago
Fast indexing for image retrieval based on local appearance with re-ranking
This paper describes an approach to retrieve images containing specific objects, scenes or buildings. The image content is captured by a set of local features. More precisely, we ...
Hao Shao, Tomás Svoboda, Vittorio Ferrari, ...
ACIVS
2007
Springer
14 years 1 months ago
Descriptor-Free Smooth Feature-Point Matching for Images Separated by Small/Mid Baselines
Abstract. Most existing feature-point matching algorithms rely on photometric region descriptors to distinct and match feature points in two images. In this paper, we propose an e...
Ping Li, Dirk Farin, Rene Klein Gunnewiek, Peter H...