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» Content-based image retrieval by clustering
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ICIP
2001
IEEE
15 years 11 days ago
A scalable integrated region-based image retrieval system
In this paper, we present a scalable algorithm for indexing and retrieving images based on region segmentation. The method uses statistical clustering on region features and IRM (...
Yanping Du, James Ze Wang
GISCIENCE
2008
Springer
121views GIS» more  GISCIENCE 2008»
13 years 12 months ago
Identifying Maps on the World Wide Web
Abstract. This paper presents an automatic approach to mining collections of maps from the Web. Our method harvests images from the Web and then classifies them as maps or non-map...
Matthew Michelson, Aman Goel, Craig A. Knoblock
CLEF
2007
Springer
14 years 5 months ago
DCU and UTA at ImageCLEFPhoto 2007
Dublin City University (DCU) and University of Tampere (UTA) participated in the ImageCLEF 2007 photographic ad-hoc retrieval task with several monolingual and bilingual runs. Our...
Anni Järvelin, Peter Wilkins, Tomasz Adamek, ...
MM
2009
ACM
187views Multimedia» more  MM 2009»
14 years 3 months ago
Convex experimental design using manifold structure for image retrieval
Content Based Image Retrieval (CBIR) has become one of the most active research areas in computer science. Relevance feedback is often used in CBIR systems to bridge the semantic ...
Lijun Zhang, Chun Chen, Wei Chen, Jiajun Bu, Deng ...
MIR
2004
ACM
236views Multimedia» more  MIR 2004»
14 years 4 months ago
Boosting contextual information in content-based image retrieval
We present a new framework for characterizing and retrieving objects in cluttered scenes. This CBIR system is based on a new representation describing every object taking into acc...
Jaume Amores, Nicu Sebe, Petia Radeva, Theo Gevers...