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MIR
2005
ACM
138views Multimedia» more  MIR 2005»
13 years 10 months ago
Evaluation strategies for image understanding and retrieval
We address evaluation of image understanding and retrieval large scale image data in the context of three evaluation projects. The first project is a comprehensive strategy for e...
Keiji Yanai, Nikhil V. Shirahatti, Prasad Gabbur, ...
ICPR
2004
IEEE
14 years 5 months ago
Classification Error Rate for Quantitative Evaluation of Content-based Image Retrieval Systems
A major problem in the field of content-based image retrieval is the lack of a common performance measure which allows the researcher to compare different image retrieval systems ...
Daniel Keysers, Hermann Ney, Thomas Deselaers
CLEF
2004
Springer
13 years 10 months ago
FIRE - Flexible Image Retrieval Engine: ImageCLEF 2004 Evaluation
In this paper we present FIRE, a content-based image retrieval system and the methods we used in the ImageCLEF 2004 evaluation. In FIRE, different features are available to repre...
Thomas Deselaers, Daniel Keysers, Hermann Ney
ICIP
2008
IEEE
14 years 6 months ago
Using a game to evaluate image retrieval, organization, and annotation
Methods of retrieving images that incorporate humangenerated metadata, such as keyword annotation and collaborative filtering, are less vulnerable to the semantic gap than content...
Liam M. Mayron, Oge Marques
PR
2006
119views more  PR 2006»
13 years 4 months ago
Performance evaluation and optimization for content-based image retrieval
Performance evaluation of content-based image retrieval (CBIR) systems is an important but still unsolved problem. The reason for its importance is that only performance evaluatio...
Julia Vogel, Bernt Schiele