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» Content-based image retrieval by feature point matching
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SIGMOD
2003
ACM
237views Database» more  SIGMOD 2003»
14 years 6 months ago
Qcluster: Relevance Feedback Using Adaptive Clustering for Content-Based Image Retrieval
The learning-enhanced relevance feedback has been one of the most active research areas in content-based image retrieval in recent years. However, few methods using the relevance ...
Deok-Hwan Kim, Chin-Wan Chung
MTA
1998
119views more  MTA 1998»
13 years 6 months ago
A New Indexing Scheme for Content-Based Image Retrieval
We propose a new efficient indexing scheme, called the HG-tree, to support content-based retrieval in image databases. Image content is represented by a point in a multidimensional...
Guang-Ho Cha, Chin-Wan Chung
TVCG
2002
135views more  TVCG 2002»
13 years 6 months ago
Three-Dimensional Interfaces for Querying by Example in Content-Based Image Retrieval
Image databases are nowadays widely exploited in a number of different contexts, ranging from history of art, through medicine, to education. Existing querying paradigms are based ...
Jürgen Assfalg, Alberto Del Bimbo, Pietro Pal...
ICPR
2004
IEEE
14 years 7 months ago
Image Retrieval by Local Evaluation of Nonlinear Kernel Functions around Salient Points
Feature histograms based on the evaluation of Haar integrals with nonlinear kernel functions were used successfully for the purpose of invariant content based image retrieval. In ...
Alaa Halawani, Hans Burkhardt
SPIESR
2001
81views Database» more  SPIESR 2001»
13 years 8 months ago
Content-based image retrieval by feature point matching
Chiou-Ting Hsu, Ya-Ting Wu, Arbee L. P. Chen