DocumentCode
2309057
Title
Describing images via linguistic features and hierarchical segmentation
Author
Castillo-Ortega, R. ; Chamorro-Martínez, J. ; Marín, N. ; Sánchez, D. ; Soto-Hidalgo, J.M.
Author_Institution
Dept. of Comput. Sci. & Artificial Intell., Univ. of Granada, Granada, Spain
fYear
2010
fDate
18-23 July 2010
Firstpage
1
Lastpage
8
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.
Keywords
feature extraction; image segmentation; fuzzy spatial locations; fuzzy spatial relations; hierarchical fuzzy segmentation; image description; linguistic features; user interest; user preferences; Color; Image color analysis; Image edge detection; Image segmentation; Pixel; Pragmatics; Semantics;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems (FUZZ), 2010 IEEE International Conference on
Conference_Location
Barcelona
ISSN
1098-7584
Print_ISBN
978-1-4244-6919-2
Type
conf
DOI
10.1109/FUZZY.2010.5584443
Filename
5584443
Link To Document