Back to articles
Articles
Volume: 28 | Article ID: art00040
Image
Physiological capture of augmented viewing states: objective measures of high-dynamic-range and wide-color-gamut viewing experiences
  DOI :  10.2352/ISSN.2470-1173.2016.16.HVEI-126  Published OnlineFebruary 2016
Abstract

The capability for improved image and video reproduction quality is notably growing. For example, augmentation of resolution and dynamic range allows for a markedly transformed viewer experience. These can influence a viewer’s experience of content in a manner not captured by standardized methods of subjective quality assessment. Changes in viewer experiences may include elevated arousal, enhanced emotional impact, and increased engagement. Here we describe objective methods and data metrics allowing for the assessment of individual responses to high-dynamic-range (HDR) and wide-color-gamut (WCG) motion imagery using electroencephalography (EEG) measurements. All test content was mapped from a HDR/WCG source, with the HDR/WCG content mapped to the parameters of the stimulus display (0.005-1000 cd/m2 dynamic range, DCI P3 color space). Comparison baseline content was mapped to the parameters of a standard consumer TV (0.05-100 cd/m2 dynamic range, Rec. 709 color space). The difference between viewing the HDR/WCG content and baseline content was captured using EEG to probe modulation of visual cortical drive, elicited with a fixed-frequency reversing checkerboard stimulus. These metrics are combined with a broader set of measures to collectively quantify content- and dynamic range-dependent impacts of engagement and attentional processing.

Subject Areas :
Views 21
Downloads 0
 articleview.views 21
 articleview.downloads 0
  Cite this article 

Dan Darcy, Evan Gitterman, Alex Brandmeyer, Scott Daly, Poppy Crum, "Physiological capture of augmented viewing states: objective measures of high-dynamic-range and wide-color-gamut viewing experiencesin Proc. IS&T Int’l. Symp. on Electronic Imaging: Human Vision and Electronic Imaging,  2016,  https://doi.org/10.2352/ISSN.2470-1173.2016.16.HVEI-126

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2016
72010604
Electronic Imaging
2470-1173
Society for Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151 USA