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Author Castillo-Ortega, R. ♦ Chamorro-Martínez, J. ♦ Marín, N. ♦ Sánchez, D. ♦ Soto-Hidalgo, J.M.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2010
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Image color analysis ♦ Pragmatics ♦ Image segmentation ♦ Color ♦ Semantics ♦ Image edge detection ♦ Pixel
Abstract In this paper we introduce a preliminary proposal for linguistic description of images. The approach is based on i) a hierarchical fuzzy segmentation of the image, ii) a collection of linguistic features describing each region, and iii) fuzzy spatial relations and locations. The procedure is independent from the way these elements have been obtained, and provides a description with the characteristics of a summary, i.e., a brief and accurate description of the whole image. As another characteristic of summaries, the method can be guided in the description by the user's preferences and interest. Remarkably, we are able to provide a description containing sentences about disjoint regions appearing in different levels of detail.
Description Author affiliation: Department of Computer Science and Artificial Intelligence, University of Granada, C/ Periodista Daniel Saucedo Aranda s/n, 18071 Granada, Spain (Castillo-Ortega, R.; Chamorro-Martínez, J.; Marín, N.; Sánchez, D.) || Department of Computer Architecture, Electronics and Electronic Technology, University of Córdoba, Spain (Soto-Hidalgo, J.M.)
ISBN 9781424469192
ISSN 10987584
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2010-07-18
Publisher Place Spain
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781424469215
Size (in Bytes) 310.28 kB
Page Count 8
Starting Page 1
Ending Page 8

Source: IEEE Xplore Digital Library