DocumentCode
34618
Title
How Does Image Content Affect the Added Value of Visual Attention in Objective Image Quality Assessment?
Author
Hantao Liu ; Engelke, Ulrich ; Junle Wang ; Le Callet, Patrick ; Heynderickx, Ingrid
Author_Institution
Dept. of Comput. Sci., Univ. of Hull, Kingston upon Hull, UK
Volume
20
Issue
4
fYear
2013
fDate
Apr-13
Firstpage
355
Lastpage
358
Abstract
Our previous research has demonstrated that adding natural scene saliency (NSS) obtained from eye-tracking data may improve an objective metric´s performance in predicting perceived image quality. In this letter, we further investigate the image content dependency of this improvement. Results show that the variation in saliency between observers highly depends on image content, and that this variation predicts the extent to which a certain image may profit from adding saliency in the objective image quality assessment.
Keywords
image processing; NSS; eye-tracking data; image content; natural scene saliency; objective image quality assessment; objective metric performance; observers; perceived image quality prediction; visual attention; Image processing; Image quality; Observers; Quality assessment; Eye tracking; image quality assessment; objective metric; saliency map; visual attention;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2013.2243725
Filename
6423792
Link To Document