DocumentCode
1798887
Title
Influence of compression artifacts on visual attention
Author
Xiongkuo Min ; Guangtao Zhai ; Zhongpai Gao ; Chunjia Hu
Author_Institution
Inst. of Image Commun. & Inf. Process., Shanghai Jiao Tong Univ., Shanghai, China
fYear
2014
fDate
14-18 July 2014
Firstpage
1
Lastpage
6
Abstract
Visual attention is an important function of the human visual system (HVS). In the long term research of visual attention, various computational models have been proposed with encouraging results. However, most of those work were conducted on images with ideal visual quality. In practice, outputs of most visual communication systems contain different levels of artifacts, e.g. noise, blurring, blockiness and etc. Therefore, it is interesting to investigate the impacts of artifacts on visual attention. In this paper, we question into the problem of how the widely encountered JPEG compression artifacts affect visual attention. We designed eye-tracking experiments on images with different levels of compression and viewing time and quantitatively compared the recorded eye movement data. We found that compression level does have impacts on visual attention, and yet this influence can be negligible for low levels of compression. For high levels of compression, the visual artifacts alter visual attention in a systematic way. Dependence of the influence on viewing duration was also analyzed and it was observed that too short or too long viewing time reduces the impact of compression artifacts on visual attention.
Keywords
data compression; image coding; HVS; JPEG compression artifacts; compression artifacts; computational models; human visual system; visual attention; Computational modeling; Correlation; Image coding; Measurement; Noise; Transform coding; Visualization; JPEG compression; Visual attention; artifacts; saliency;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia and Expo (ICME), 2014 IEEE International Conference on
Conference_Location
Chengdu
Type
conf
DOI
10.1109/ICME.2014.6890189
Filename
6890189
Link To Document