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AMR
2006
Springer
119views Multimedia» more  AMR 2006»
13 years 11 months ago
The Potential of User Feedback Through the Iterative Refining of Queries in an Image Retrieval System
Inaccurate or ambiguous expressions in queries lead to poor results in information retrieval. We assume that iterative user feedback can improve the quality of queries. To this end...
Maher Ben Moussa, Marco Pasch, Djoerd Hiemstra, Pa...
ISVC
2005
Springer
14 years 2 months ago
Large-Scale Geospatial Indexing for Image-Based Retrieval and Analysis
We describe a method for indexing and retrieving high-resolution image regions in large geospatial data libraries. An automated feature extraction method is used that generates a u...
Kenneth W. Tobin, Budhendra L. Bhaduri, Eddie A. B...
CLEF
2010
Springer
13 years 10 months ago
Overview of the CLEF 2010 Medical Image Retrieval Track
The seventh edition of the ImageCLEF medical retrieval task was organized in 2010. As in 2008 and 2009, the collection in 2010 uses images and captions from the Radiology and Radio...
Henning Müller, Jayashree Kalpathy-Cramer, Iv...
ICPR
2008
IEEE
14 years 3 months ago
Learning combined similarity measures from user data for image retrieval
Image retrieval has become an interesting and active field due to the increasing necessity of searching and browsing very large image repositories. Images are represented using s...
Miguel Arevalillo-Herráez, Francesc J. Ferr...
ISM
2008
IEEE
150views Multimedia» more  ISM 2008»
14 years 3 months ago
Combining Global with Local Texture Information for Image Retrieval Applications
This paper proposes a new texture descriptor to guide the search and retrieval in image databases. It extracts rich information from global and local primitives of textured images...
Javier A. Montoya-Zegarra, Jan Beeck, Neucimar Jer...