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» Image retrieval based on region shape similarity
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ICIP
2001
IEEE
14 years 9 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
ICMCS
2005
IEEE
103views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Natural Image Retrieval with Sketches
In this paper, we present a method to retrieve natural images by sketch query. To measure the similarity between the sketch and an image, relevant regions are first located in th...
Jinyi Yao, Mingjing Li, Zhiwei Li, Lei Zhang, Wei-...
ICMCS
2006
IEEE
171views Multimedia» more  ICMCS 2006»
14 years 1 months ago
New Area Matrix-Based Affine-Invariant Shape Features and Similarity Metrics
A near-planar object seen from different viewpoints results in differently deformed images. Under some assumptions, viewpoint changes can be modeled by affine transformations. Sh...
Carlos Ramon Pantaleon Dionisio, Hae Young Kim
DGCI
2000
Springer
13 years 11 months ago
An Efficient Shape-Based Approach to Image Retrieval
We consider the problem of finding the best match for a given query shape among candidate shapes stored in a shape base. This is central to a wide range of applications, such as, d...
Ioannis Fudos, Leonidas Palios
CVPR
2004
IEEE
13 years 11 months ago
Learning in Region-Based Image Retrieval with Generalized Support Vector Machines
Relevance feedback approaches based on support vector machine (SVM) learning have been applied to significantly improve retrieval performance in content-based image retrieval (CBI...
Iker Gondra, Douglas R. Heisterkamp