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