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SIBGRAPI
2003
IEEE

Using Efficient Visual Exploration Techniques to Evaluate Features for Content-Based Image Retrieval

9 years 3 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 retrieval. This new approach takes advantage of an interactive 3-dimensional visualization fed by the image features obtained through a given extraction technique under analysis. Using controlled test image datasets, the researcher can literally “see” the discrimination power of the image features. This new approach gives a very good insight of the behavior of a given image feature extractor algorithm, which are confirmed by the the well-known precision and recall measurements. We applied the visual approach proposed onto a wavelet-based image retrieval system, which is supporting the development of a Picture Archiving and Communication System that allows to retrieve images by content.
José Fernando Rodrigues Jr., César A
Added 05 Jul 2010
Updated 05 Jul 2010
Type Conference
Year 2003
Where SIBGRAPI
Authors José Fernando Rodrigues Jr., César A. B. Castañón, Caetano Traina Jr., Agma J. M. Traina
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