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Information retrieval / Image search / Artificial intelligence applications / Natural language processing / Content-based image retrieval / Image retrieval / Computer vision / Color histogram / Document retrieval / Information science / Science / Artificial intelligence


FIRE in ImageCLEF 2005: Combining Content-based Image Retrieval with Textual Information Retrieval Thomas Deselaers, Tobias Weyand, Daniel Keysers, Wolfgang Macherey, and Hermann Ney Lehrstuhl f¨ ur Informatik VI, RWTH
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Document Date: 2011-11-25 05:36:48


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City

Berlin / Corfu / Cambridge / Vannes / Combining Content / Vienna / Freiburg / Bath / San Diego / Oxford / /

Company

AT&T / Intelligent Information Systems / EURASIP Journal / /

Country

Germany / Belgium / France / Austria / United States / United Kingdom / Greece / /

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Event

Man-Made Disaster / /

Facility

University of Oxford / RWTH Aachen University / University of Li`ege / University of Freiburg / /

IndustryTerm

content-based image retrieval systems / image retrieval systems / real life applications / /

Organization

RWTH Aachen University / Aachen / idf / University of Li`ege / Institute for Computer Science / University of Oxford / University of Freiburg / Pattern Analysis and Machine Intelligence / /

Person

Hermann Ney Lehrstuhl / Retrieval Thomas Deselaers / Wolfgang Macherey / Tobias Weyand / Pascal Visual Ob / Daniel Keysers / Carl Hanser Verlag / /

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Position

image distortion model for our submission / scientist / Porter / /

ProgrammingLanguage

PASCAL / /

ProvinceOrState

California / /

PublishedMedium

IEEE Transactions on Pattern Analysis and Machine Intelligence / /

Technology

Data Mining / stemming algorithm / optical character recognition / Simulation / Gesture Recognition / Medical Imaging / /

URL

http /

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