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» User Adaptive Clustering for Large Image Databases
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ICIP
2008
IEEE
14 years 8 months ago
Fast adaptive Mahalanobis distance-based search and retrieval in image databases
Motivated by the need to efficiently leverage user relevance feedback in content-based retrieval from image databases, we propose a fast, clustering-based indexing technique for e...
Sharadh Ramaswamy, Kenneth Rose
BTW
2009
Springer
240views Database» more  BTW 2009»
13 years 7 months ago
Efficient Adaptive Retrieval and Mining in Large Multimedia Databases
Abstract: Multimedia databases are increasingly common in science, business, entertainment and many other applications. Their size and high dimensionality of features are major cha...
Ira Assent
ICPR
2002
IEEE
14 years 7 months ago
Unsupervised Robust Clustering for Image Database Categorization
Content-based image retrieval can be dramatically improved by providing a good initial database overview to the user. To address this issue, we present in this paper the Adaptive ...
Bertrand Le Saux, Nozha Boujemaa
MSV
2004
13 years 7 months ago
Towards Quality of Service Based Resource Management for Cluster-Based Image Database
The main research in the area of image databases addresses the improvement of retrieval quality and the speedup of the query processing. A number of image retrieval systems reache...
Andreas Brüning, Frank Drews, Martin Hoefer, ...
CVPR
1998
IEEE
14 years 8 months ago
Image Indexing and Retrieval Based on Human Perceptual Color Clustering
We propose a new image retrieval method based on human perceptual clustering of color images. This color clustering produces for each image a small set of representative colors wh...
Yihong Gong, Guido Proietti, Christos Faloutsos