The complexity of perception of image distortion: an initial study

Authors:
Yuzhen Niu;Feng Liu;Xueqing Li;Michael Gleicher
Affiliations:
Shandong University, Jinan, China;University of Wisconsin-Madison, Madison, WI, USA;Shandong University, Jinan, China;University of Wisconsin-Madison, Madison, WI, USA
Venue:
CHI '10 Extended Abstracts on Human Factors in Computing Systems
Year:
2010

Citing 4
Cited 1

Gaze-based interaction for semi-automatic photo cropping

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Seam carving for content-aware image resizing

ACM SIGGRAPH 2007 papers
Optimized scale-and-stretch for image resizing

ACM SIGGRAPH Asia 2008 papers
Semantic metric for image library exploration

IEEE Transactions on Multimedia

Detection of image stretching

Proceedings of the 7th Symposium on Applied Perception in Graphics and Visualization

Quantified Score

Hi-index	0.00

Visualization

Abstract

Image retargeting methods adapt an image for displays with different sizes and aspect ratios. Methods are based on the assumption that some kinds of distortions are preferable to others. While a rich variety of literature exists on retargeting methods, there is little codified understanding of how these distortions are perceived. This paper shows that people's perception of image distortions is complex. We report an initial study exploring the phenomenon that shows that even in a simple form of distortion, perception depends on a myriad of factors including amount of distortion, image content, and the viewer's cultural background. These initial findings have ramifications for the design and evaluation of image retargeting, and suggest that a more thorough study is necessary.