Paper
25 February 2014 X-Eye: A reference format for eye tracking data to facilitate analyses across databases
Stefan Winkler, Florian M. Savoy, Ramanathan Subramanian
Author Affiliations +
Proceedings Volume 9014, Human Vision and Electronic Imaging XIX; 90140L (2014) https://doi.org/10.1117/12.2042433
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States
Abstract
Datasets of images annotated with eye tracking data constitute important ground truth for the development of saliency models, which have applications in many areas of electronic imaging. While comparisons and reviews of saliency models abound, similar comparisons among the eye tracking databases themselves are rare. In an earlier paper, we reviewed the content and purpose of over two dozen databases available in the public domain and discussed their commonalities and differences. A major issue is that the formats of the various datasets vary a lot owing to the nature of tools used for eye movement recordings, and often specialized code is required to use the data for further analysis. In this paper, we therefore propose a common reference format for eye tracking data, together with conversion routines for 16 existing image eye tracking databases to that format. Furthermore, we conduct a few analyses on these datasets as examples of what X-Eye facilitates.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stefan Winkler, Florian M. Savoy, and Ramanathan Subramanian "X-Eye: A reference format for eye tracking data to facilitate analyses across databases", Proc. SPIE 9014, Human Vision and Electronic Imaging XIX, 90140L (25 February 2014); https://doi.org/10.1117/12.2042433
Lens.org Logo
CITATIONS
Cited by 4 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Eye

Databases

Data modeling

Eye models

Data conversion

Visual process modeling

Visualization

Back to Top