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.

• Type: Conference
• Year: 2003
• Where: SIBGRAPI
• Authors: José Fernando Rodrigues Jr., César A. B. Castañón, Caetano Traina Jr., Agma J. M. Traina
• Keywords: Computer Graphics, Image Feature, Image Retrieval, SIBGRAPI 2003, Visual Approach