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KES
2004
Springer
14 years 29 days ago
Content-Based Image Retrieval Using Multiple Representations
Many different approaches for content-based image retrieval have been proposed in the literature. Successful approaches consider not only simple features like color, but also take ...
Karin Kailing, Hans-Peter Kriegel, Stefan Schö...
ICMCS
2005
IEEE
148views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Compressed Domain Image Indexing and Retrieval Based on the Minimal Spanning Tree
In this paper, a method for content-based retrieval of JPEG images is presented, utilizing features directly from the discrete cosine transform (DCT) domain. Image indexing is ach...
Christos Theoharatos, Vassilios K. Pothos, George ...
ICMCS
2000
IEEE
142views Multimedia» more  ICMCS 2000»
14 years 12 hour ago
Incorporate Discriminant Analysis with EM Algorithm in Image Retrieval
One of the difficulties of Content-Based Image Retrieval (CBIR) is the gap between high-level concepts and low-level image features, e.g., color and texture. Relevance feedback wa...
Qi Tian, Ying Wu, Thomas S. Huang
CVPR
2012
IEEE
11 years 10 months ago
Exploiting local and global patch rarities for saliency detection
We introduce a saliency model based on two key ideas. The first one is considering local and global image patch rarities as two complementary processes. The second one is based o...
Ali Borji, Laurent Itti
RITA
2006
302views more  RITA 2006»
13 years 7 months ago
Content-Based Image Retrieval: Theory and Applications
: Advances in data storage and image acquisition technologies have enabled the creation of large image datasets. In this scenario, it is necessary to develop appropriate informatio...
Ricardo da Silva Torres, Alexandre X. Falcã...