DocumentCode :
2834618
Title :
Sensitivity Characterization by Impression and Color Words
Author :
Ishii, Naohiro ; Tokuda, Yusaku ; Torii, Ippei ; Kanda, Tomomi
Author_Institution :
Dept. of Inf. Sci., Aichi Inst. of Technol., Toyota, Japan
fYear :
2009
fDate :
2-4 Nov. 2009
Firstpage :
362
Lastpage :
369
Abstract :
Paintings have some sensibility information to human hearts. But, the sensibility information will be different to person to person. We like some paintings, while other persons like another ones. For appreciation of paintings, grouping of paintings with similar sensitivity will be helpful. In this paper, we developed a distance measure relation among paintings for similarity grouping. Four similarity relations (types) are developed by the distance measure for classification of paintings. Impression words and color words play an important role for the sensibility expression of paintings. To verify the combination of these words, a self-organizing map (SOM) by two layered neural network, was applied for the grouping of paintings. It was shown that the combination of the impression words and color ones make a well similar grouping of paintings. Grouping similar paintings in impression words and color ones will be useful for a recommendation system.
Keywords :
image classification; image colour analysis; self-organising feature maps; color words; impression words; painting classification; recommendation system; self-organizing map; sensitivity characterization; two layered neural network; Art; Artificial intelligence; Earth; Heart; Humans; Image databases; Information science; Multimedia databases; Neural networks; Painting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence, 2009. ICTAI '09. 21st International Conference on
Conference_Location :
Newark, NJ
ISSN :
1082-3409
Print_ISBN :
978-1-4244-5619-2
Electronic_ISBN :
1082-3409
Type :
conf
DOI :
10.1109/ICTAI.2009.50
Filename :
5364347
Link To Document :
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