By analyzing the statistical behaviors on human visual attention, we discover a clue that the fixation behaviors are highly correlated with how much the viewers feel visual discomfort on stereoscopic images differently from conventional subjective assessments. In order to quantify the correlation between visual attention and discomfort, we explore a novel methodology termed transition of visual attention (ToVA) according to various disparities, which accounts depth attributes of 3D images by eye-tracker experiments. Moreover, the saliency entropy is defined to quantify the distribution of fixations for 3D images. Then, we measure ToVA in terms of the relative saliency entropy using Kullback-Leibler divergence. In order to evaluate the effectiveness of ToVA, a successful example application is also provided, whereby ToVA is applied to obtaining subjective results of measuring discomfort experienced when viewing 3D displays rather than relying on the conventional subjective test by using scoring system.
|Title of host publication||2016 IEEE International Conference on Multimedia and Expo, ICME 2016|
|Publisher||IEEE Computer Society|
|Publication status||Published - 2016 Aug 25|
|Event||2016 IEEE International Conference on Multimedia and Expo, ICME 2016 - Seattle, United States|
Duration: 2016 Jul 11 → 2016 Jul 15
|Name||Proceedings - IEEE International Conference on Multimedia and Expo|
|Other||2016 IEEE International Conference on Multimedia and Expo, ICME 2016|
|Period||16/7/11 → 16/7/15|
Bibliographical notePublisher Copyright:
© 2016 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Computer Science Applications