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» Content-based image retrieval by clustering
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MTA
2008
146views more  MTA 2008»
13 years 10 months ago
A survey of browsing models for content based image retrieval
The problem of content based image retrieval (CBIR) has traditionally been investigated within a framework that emphasises the explicit formulation of a query: users initiate an au...
Daniel Heesch
ISM
2006
IEEE
207views Multimedia» more  ISM 2006»
13 years 10 months ago
Affinity Hybrid Tree: An Indexing Technique for Content-Based Image Retrieval in Multimedia Databases
A novel indexing and access method, called Affinity Hybrid Tree (AH-Tree), is proposed to organize large image data sets efficiently and to support popular image access mechanisms...
Kasturi Chatterjee, Shu-Ching Chen
VLDB
2001
ACM
119views Database» more  VLDB 2001»
14 years 2 months ago
A Prototype Content-Based Retrieval System that Uses Virtual Images to Save Space
Previous research has demonstrated that space can be saved in a MultiMedia DataBase Management System (MMDBMS) by storing some of the data items virtually, meaning they are stored...
Leonard Brown, Le Gruenwald
SPIESR
1998
195views Database» more  SPIESR 1998»
13 years 11 months ago
Relevance Feedback Techniques in Interactive Content-Based Image Retrieval
Content-Based Image Retrieval (CBIR) has become one of the most active research areas in the past few years. Many visual feature representations have been explored and many system...
Yong Rui, Thomas S. Huang, Sharad Mehrotra
ICCV
2007
IEEE
15 years 11 days ago
Graph-Cut Transducers for Relevance Feedback in Content Based Image Retrieval
Closing the semantic gap in content based image retrieval (CBIR) basically requires the knowledge of the user's intention which is usually translated into a sequence of quest...
Hichem Sahbi, Jean-Yves Audibert, Renaud Keriven