DocumentCode :
2634935
Title :
Affective-Cognitive of Images Based on Complex Features
Author :
Bo Hao ; Jijun Wang ; Xiaopeng Wei ; Yuning Wei ; Guojie Feng
Author_Institution :
Liaoning Key Lab. of Intell. Inf. Process., Liaoning
fYear :
2008
fDate :
18-20 June 2008
Firstpage :
199
Lastpage :
199
Abstract :
In this paper we propose a new method for affective-cognitive of images. We use 9 images that constitute the Furnham´s Shape&Color Test as standard templates. In HSV (Hue, Saturation, and Value) color space, we get a vector that has 48 dimensions by using Part-Division quantifying method. We use Quadratic Distance to compute comparabilities of images. Combined with the personality of Testers and the results of comparabilities between testing images and template images, we get the like-dislike modulus of Testers when they see testing images.
Keywords :
cognition; image colour analysis; HSV color space; affective-cognitive feature; hue; image colour analysis; part-division quantifying method; quadratic distance; saturation; value; Artificial intelligence; Computational modeling; Humans; Image color analysis; Information processing; Laboratories; Layout; Shape; Space technology; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
Conference_Location :
Dalian, Liaoning
Print_ISBN :
978-0-7695-3161-8
Electronic_ISBN :
978-0-7695-3161-8
Type :
conf
DOI :
10.1109/ICICIC.2008.624
Filename :
4603388
Link To Document :
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