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» User Adaptive Clustering for Large Image Databases
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ICIP
2008
IEEE
15 years 11 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
121
Voted
BTW
2009
Springer
240views Database» more  BTW 2009»
14 years 10 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
15 years 10 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
14 years 10 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
15 years 11 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