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ISVC
2005
Springer
14 years 2 months ago
Using Linguistic Models for Image Retrieval
This research addresses the problem of image retrieval by exploring the semantic relationships that exist between image annotations. This is done by using linguistic relationships ...
Brian Zambrano, Rahul Singh, Bibek Dev Bhattarai
MM
1999
ACM
126views Multimedia» more  MM 1999»
14 years 1 months ago
Robust color indexing
In content based image retrieval, color indexing is one of the most prevalent retrieval methods. In literature, most of the attention has been focussed on the color model with lit...
Nicu Sebe, Michael S. Lew
PRL
2008
124views more  PRL 2008»
13 years 8 months ago
Modeling human color categorization
Color matching in Content-Based Image Retrieval is done using a color space and measuring distances between colors. Such an approach yields nonintuitive results for the user. We i...
Egon L. van den Broek, Theo E. Schouten, P. M. F. ...
ICIP
2010
IEEE
13 years 7 months ago
Gradient field descriptor for sketch based retrieval and localization
We present an image retrieval system driven by free-hand sketched queries depicting shape. We introduce Gradient Field HoG (GF-HOG) as a depiction invariant image descriptor, enca...
Rui Hu, Mark Barnard, John P. Collomosse
CVIU
2004
115views more  CVIU 2004»
13 years 8 months ago
Context-dependent segmentation and matching in image databases
The content of an image can be summarized by a set of homogeneous regions in an appropriate feature space. When exact shape is not important, the regions can be represented by sim...
Hayit Greenspan, Guy Dvir, Yossi Rubner