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ICIP
2005
IEEE
14 years 9 months ago
Combining interest points and edges for content-based image retrieval
Abstract-- This paper presents a novel approach using combined features to retrieve images containing specific objects, scenes or buildings. The content of an image is characterize...
Junqiu Wang, Hongbin Zha, Roberto Cipolla
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
VCIP
2003
170views Communications» more  VCIP 2003»
13 years 8 months ago
How good are the visual MPEG-7 features?
The study presented in this paper analyses descriptions extracted with MPEG-7-descriptors from visual content from the statistical point of view. Good descriptors should generate ...
Horst Eidenberger
CBMS
2009
IEEE
13 years 10 months ago
A medical image retrieval framework in correlation enhanced visual concept feature space
This paper presents a medical image retrieval framework that uses visual concepts in a feature space employing statistical models built using a probabilistic multi-class support v...
Md. Mahmudur Rahman, Sameer Antani, George R. Thom...
IJCV
2000
223views more  IJCV 2000»
13 years 7 months ago
The Earth Mover's Distance as a Metric for Image Retrieval
We investigate the properties of a metric between two distributions, the Earth Mover's Distance (EMD), for content-based image retrieval. The EMD is based on the minimal cost ...
Yossi Rubner, Carlo Tomasi, Leonidas J. Guibas