Title :
Overview of Eye tracking Datasets
Author :
Winkler, Stefan ; Subramanian, Ramanathan
Author_Institution :
Adv. Digital Sci. Center (ADSC), Univ. of Illinois at Urbana-Champaign, Singapore, Singapore
Abstract :
Datasets of images or videos annotated with eye tracking data constitute important ground truth for studies on saliency models, which have applications in quality assessment and other areas. Over two dozen such databases are now available in the public domain; they are presented in this paper.
Keywords :
video signal processing; eye tracking dataset; image dataset; public domain; quality assessment; saliency model; video dataset; Computational modeling; Image quality; Quality assessment; Videos; Visual databases; Visualization; Eye fixations; saliency; visual attention;
Conference_Titel :
Quality of Multimedia Experience (QoMEX), 2013 Fifth International Workshop on
Conference_Location :
Klagenfurt am Wo??rthersee
DOI :
10.1109/QoMEX.2013.6603239
