Share Email Print

Proceedings Paper

How do we watch images? A case of change detection and quality estimation
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The most common tasks in subjective image estimation are change detection (a detection task) and image quality estimation (a preference task). We examined how the task influences the gaze behavior when comparing detection and preference tasks. The eye movements of 16 naïve observers were recorded with 8 observers in both tasks. The setting was a flicker paradigm, where the observers see a non-manipulated image, a manipulated version of the image and again the non-manipulated image and estimate the difference they perceived in them. The material was photographic material with different image distortions and contents. To examine the spatial distribution of fixations, we defined the regions of interest using a memory task and calculated information entropy to estimate how concentrated the fixations were on the image plane. The quality task was faster and needed fewer fixations and the first eight fixations were more concentrated on certain image areas than the change detection task. The bottom-up influences of the image also caused more variation to the gaze behavior in the quality estimation task than in the change detection task The results show that the quality estimation is faster and the regions of interest are emphasized more on certain images compared with the change detection task that is a scan task where the whole image is always thoroughly examined. In conclusion, in subjective image estimation studies it is important to think about the task.

Paper Details

Date Published: 24 January 2012
PDF: 12 pages
Proc. SPIE 8293, Image Quality and System Performance IX, 82930M (24 January 2012); doi: 10.1117/12.907046
Show Author Affiliations
Jenni Radun, Univ. of Helsinki (Finland)
Tuomas Leisti, Univ. of Helsinki (Finland)
Toni Virtanen, Univ. of Helsinki (Finland)
Göte Nyman, Univ. of Helsinki (Finland)

Published in SPIE Proceedings Vol. 8293:
Image Quality and System Performance IX
Frans Gaykema; Peter D. Burns, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?