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ICIP
2001
IEEE
15 years 11 months ago
Shape measures for image retrieval
One of the main goals in Content Based Image Retrieval (CBIR) is to incorporate shape into the process in a reliable manner. In order to overcome the difficulties of directly obta...
George Gagaudakis, Paul L. Rosin
ICDE
2006
IEEE
191views Database» more  ICDE 2006»
15 years 10 months ago
Query Decomposition: A Multiple Neighborhood Approach to Relevance Feedback Processing in Content-based Image Retrieval
Today's Content-Based Image Retrieval (CBIR) techniques are based on the "k-nearest neighbors" (kNN) model. They retrieve images from a single neighborhood using lo...
Kien A. Hua, Ning Yu, Danzhou Liu
VISUAL
1999
Springer
15 years 1 months ago
Blobworld: A System for Region-Based Image Indexing and Retrieval
Blobworld is a system for image retrieval based on nding coherent image regions which roughly correspond to objects. Each image is automatically segmented into regions  blobs"...
Chad Carson, Megan Thomas, Serge Belongie, Joseph ...
ICCV
1998
IEEE
15 years 11 months ago
Retrieving Images by Appearance
A system to retrieve images using a description of the image intensity surface is presented. Gaussian derivative lters at several scales are applied to the image and low order 2D ...
S. Ravela, R. Manmatha
CIVR
2007
Springer
138views Image Analysis» more  CIVR 2007»
15 years 3 months ago
SemRetriev: an ontology driven image retrieval system
This paper describes the technical details of SemRetriev, a prototype system for image retrieval which combines the use of an ontology which structures an image repository and of ...
Adrian Popescu, Pierre-Alain Moëllic, Christo...