Enhanced visual evaluation of feature extractors for image mining

Plus BROWSE SEARCH IEEE XPLORE GUIDE SUPPORT View TOC Enhanced visual evaluation of feature extractors for image mining Rodrigues, J.F., Jr. Traina, A.J.M. Traina, C., Jr. Comput. Sci. Dept., Sao Paulo Univ., Sao Carlos, Brazil; This paper appears in: Computer Systems and Applications, 2005. The 3rd ACS/IEEE International Conference on Publication Date: 2005 On page(s): 45ISBN: 0-7803-8735-X INSPEC Accession Number: 8401778 Digital Object Identifier: 10.1109/AICCSA.2005.1387042 Posted online: 2005-06-13 13:08:46.0 Summary form only given. This paper introduces a novel approach to evaluate, timely and effectively, the suitability of new image feature extraction techniques concerning similarity queries using CBIR systems. The proposed approach is based on two measurements derived from spatial properties intuitively and naturally perceived in spatial domains, and that can also be verified in multidimensional spaces. To bear out our proposal, we show that the insights obtained by the prop...

• Type: Conference
• Year: 2005
• Where: AICCSA
• Authors: José Fernando Rodrigues Jr., Agma J. M. Traina, Caetano Traina Jr.
• Keywords: AICCSA 2005, Hardware, Image Mining Rodrigues, Sao Paulo Univ, SEARCH IEEE XPLORE