Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
The Contribution of Eye Tracking to Quality of Experience Assessment of 360-degree video
RISE - Research Institutes of Sweden (2017-2019), ICT, Acreo. University of Technology Eindhoven, Netherlands. (Visual Media Quality)
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 180 HE creditsStudent thesis
Abstract [en]

The research domain on the Quality of Experience (QoE) of 2D video streaming has been well established. However, a new video format is emerging and gaining popularity and availability: VR 360-degree video. The processing and transmission of 360-degree videos brings along new challenges such as large bandwidth requirements and the occurrence of different distortions. The viewing experience is also substantially different from 2D video, it offers more interactive freedom on the viewing angle but can also be more demanding and cause cybersickness. Further research on the QoE of 360-videos specifically is thus required.The first goal of this thesis is to complement earlier research by (Tran, Ngoc, Pham, Jung, and Thank, 2017) testing the effects of quality degradation, freezing, and content on the QoE of 360-videos. The second goal is to test the contribution of visual attention as influence factor in the QoE assessment. Data will be gathered through subjective tests where participants watch degraded versions of 360-videos through an HMD with integrated eye-tracking sensors. After each video they will answer questions regarding their quality perception, experience, perceptual load, and cybersickness.Results of the first part show overall rather low QoE ratings and it decreases even more as quality is degraded and freezing events are added. Cyber sickness was found not to be an issue. The effects of the manipulation on visual attention were minimal. Attention was mainly directed by content, but also by surprising elements. The addition of eye-tracking metrics did not further explain individual differences in subjective ratings. Nevertheless it was found that looking at moving objects increased the negative effect of freezing events and made participants less sensitive for quality distortions. The results of this thesis alone are not enough to successfully regard visual attention as an influence factor in 360-video.

Place, publisher, year, edition, pages
2019. , p. 69
Keywords [en]
QoE, Quality of Experience, 360-video, Visual Attention, Quality Perception, Eye-Tracing, Perceptual load, Selective Attention, Cybersickness
National Category
Communication Systems Telecommunications Media Engineering
Identifiers
URN: urn:nbn:se:ri:diva-39963OAI: oai:DiVA.org:ri-39963DiVA, id: diva2:1355096
External cooperation
University of Technology Eindhoven
Supervisors
Examiners
Available from: 2019-09-27 Created: 2019-09-26 Last updated: 2023-05-25Bibliographically approved

Open Access in DiVA

fulltext(3826 kB)737 downloads
File information
File name FULLTEXT01.pdfFile size 3826 kBChecksum SHA-512
6c68068c315907fb3f8aaf05d68848ff16df8b1ef2831519403a4de47d7317ab892e5b35057e3eb90d96bc1d44996bc9e6ba396fc302f9c830886d8f5f2e3de2
Type fulltextMimetype application/pdf

By organisation
Acreo
Communication SystemsTelecommunicationsMedia Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 737 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 561 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf