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» Evaluating Image Retrieval
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IR
2000
13 years 7 months ago
Content-Based Image Retrieval in Astronomy
Content-based image retrieval in astronomy needs methods that can deal with an image content made of noisy and diffuse structures. This motivates investigations on how information ...
André Csillaghy, Hans Hinterberger, A. O. B...
MSS
1999
IEEE
150views Hardware» more  MSS 1999»
14 years 6 days ago
Performance Benchmark Results for Automated Tape Library High Retrieval Rate Applications - Digital Check Image Retrievals
Benchmark tests have been designed and conducted for the purpose of evaluating the use of automated tape libraries in on-line digital check image retrieval applications. This type...
John Gniewek, George Davidson, Bowen Caldwell
ICMCS
2007
IEEE
146views Multimedia» more  ICMCS 2007»
14 years 2 months ago
A Max Margin Framework on Image Annotation and Multimodal Image Retrieval
This paper presents a max margin framework on image annotation and multimodal image retrieval as a structured prediction model. Following the max margin approach the image retriev...
Zhen Guo, Zhongfei Zhang, Eric P. Xing, Christos F...
ICMCS
2007
IEEE
149views Multimedia» more  ICMCS 2007»
14 years 2 months ago
An Empirical Study on Large-Scale Content-Based Image Retrieval
One key challenge in content-based image retrieval (CBIR) is to develop a fast solution for indexing high-dimensional image contents, which is crucial to building large-scale CBIR...
Yuk Man Wong, Chu-Hong Hoi, Michael R. Lyu
AMR
2006
Springer
108views Multimedia» more  AMR 2006»
13 years 11 months ago
Variation of Relevance Assessments for Medical Image Retrieval
Abstract. Evaluation is crucial for the success of most research domains, and image retrieval is no exception to this. Recently, several benchmarks have been developed for visual i...
Henning Müller, Paul Clough, William R. Hersh...