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» An adaptive technique for content-based image retrieval
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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...
ICTAI
2002
IEEE
15 years 2 months ago
A Clustering Based Approach to Efficient Image Retrieval
This paper addresses the issue of effective and efficient content based image retrieval by presenting a novel indexing and retrieval methodology that integrates color, texture, an...
Ruofei Zhang, Zhongfei Zhang
VISAPP
2007
14 years 10 months ago
Texture based image indexing and retrieval
The Content Based Image Retrieval (CBIR) has been an active research area. Given a collection of images, it is to retrieve the images based on a query image, which is specified by...
N. Gnaneswara Rao, V. Vijaya Kumar
100
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ICMCS
2000
IEEE
142views Multimedia» more  ICMCS 2000»
15 years 2 months 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
CIIA
2009
14 years 10 months ago
Color Quantization and its Impact on Color Histogram Based Image Retrieval
The comparison of color histograms is one of the most widely used techniques for Content-Based Image Retrieval. Before establishing a color histogram in a defined model (RGB, HSV o...
Khouloud Meskaldji, Samia Boucherkha, Salim Chikhi