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SIBGRAPI
2003
IEEE
13 years 9 months ago
Using Efficient Visual Exploration Techniques to Evaluate Features for Content-Based Image Retrieval
This paper presents a novel visual approach to evaluate, in a fast and effective way, the development of new image feature extraction techniques concerning content-based image ret...
José Fernando Rodrigues Jr., César A...
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
2011
Springer
12 years 4 months ago
Evaluating Some Contextual Factors for Image Retrieval - ReDCAD Participation at ImageCLEF Wikipedia 2011
Our participation in the ImageCLEF Wikipedia retrieval task aims to study the efficiency of using two contextual factors in image retrieval: metadata which contains specific infor...
Hatem Awadi, Mouna Torjmen Khemakhem, Maher Ben Je...
SPIESR
1997
143views Database» more  SPIESR 1997»
13 years 5 months ago
Similarity Evaluation in Image Retrieval Using Simple Features
The development of increasingly complex multimedia applications calls for new methodologies for the organization and retrieval of still images and video sequences. Query and retri...
Eugenio Di Sciascio, Augusto Celentano
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, ...