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 :
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