Tampere University of Technology

TUTCRIS Research Portal

Optimized viewport dependent streaming of stereoscopic omnidirectional video

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


Original languageEnglish
Title of host publicationProceedings of the 23th ACM Workshop on Packet Video, PV 2018
Number of pages6
ISBN (Electronic)9781450357739
Publication statusPublished - 12 Jun 2018
Publication typeA4 Article in a conference publication
EventACM Workshop on Packet Video - Amsterdam, Netherlands
Duration: 12 Jun 2018 → …


ConferenceACM Workshop on Packet Video
Period12/06/18 → …


Streaming the whole omnidirectional video at high quality is less efficient in terms of bandwidth requirements and decoding complexity, since only a small part of the 360-degree horizontal field of view can be seen by a user at a given point in time. In Viewport Dependent Streaming (VDS) only the current user viewport is streamed at high quality, while the remaining parts are streamed at lower quality. This technology may save streaming bandwidth considerably, especially when it is associated to other techniques. Among the others, asymmetric stereoscopic video, has been studied in the past for traditional video and displays. We focused our research on the usage of asymmetric stereoscopic video for omnidirectional streams watched with a Head Mounted Display (HMD) in VDS. We conducted two subjective quality experiments with the main goal of reducing the streaming bandwidth, while keeping the subjective video quality at the highest level. We assessed asymmetric video applied separately to the foreground and background views of omnidirectional VDS sessions. We show that for VDS, applying asymmetric stereoscopic streaming delivery on the foreground view can save up to 41% bit rate, and using the same technique on the background view can save approximately up to 15% bit rate. Furthermore, eye dominance was seen not to be relevant in our experiments.

ASJC Scopus subject areas


  • 360 degrees video, Asymmetric video, Omnidirectional video, Streaming adaptation, Subjective quality evaluation, Virtual reality streaming

Publication forum classification

Field of science, Statistics Finland