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MIR
2010
ACM
207views Multimedia» more  MIR 2010»
13 years 5 months ago
Learning to rank for content-based image retrieval
In Content-based Image Retrieval (CBIR), accurately ranking the returned images is of paramount importance, since users consider mostly the topmost results. The typical ranking st...
Fabio F. Faria, Adriano Veloso, Humberto Mossri de...
WWW
2009
ACM
14 years 8 months ago
Web image retrieval reranking with multi-view clustering
General image retrieval is often carried out by a text-based search engine, such as Google Image Search. In this case, natural language queries are used as input to the search eng...
Mingmin Chi, Peiwu Zhang, Yingbin Zhao, Rui Feng, ...
CLEF
2007
Springer
14 years 1 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, ...
ICIP
1999
IEEE
14 years 9 months ago
Water-Filling: A Novel Way for Image Structural Feature Extraction
The performance of a content based image retrieval (CBIR) system is inherently constrained by the features adopted to represent the images in the database. In this paper, a new ap...
Xiang Sean Zhou, Yong Rui, Thomas S. Huang
CLEF
2006
Springer
13 years 11 months ago
MorphoSaurus in ImageCLEF 2006: The Effect of Subwords On Biomedical IR
We here describe the subword approach we used in the 2006 ImageCLEF Medical Image Retrieval task. It is based on the assupmtion that neither fully inflected nor automatically stem...
Philipp Daumke, Jan Paetzold, Kornél G. Mar...