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On Data Wastage in Viewport-Dependent Streaming

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

Details

Original languageEnglish
Title of host publication2019 IEEE 21st International Workshop on Multimedia Signal Processing (MMSP)
PublisherIEEE
Number of pages6
ISBN (Electronic)978-1-7281-1817-8
ISBN (Print)978-1-7281-1818-5
DOIs
Publication statusPublished - Sep 2019
Externally publishedYes
Publication typeA4 Article in a conference publication
EventIEEE International Workshop on Multimedia Signal Processing -
Duration: 1 Jan 1900 → …

Publication series

NameIEEE International Workshop on Multimedia Signal Processing
ISSN (Print)2163-3517
ISSN (Electronic)2473-3628

Conference

ConferenceIEEE International Workshop on Multimedia Signal Processing
Period1/01/00 → …

Abstract

Omnidirectional videos are becoming more and more popular as display devices, such as Head Mounted Displays (HMD), become more user friendly. One of the biggest challenges with such video content is the great amount of bandwidth required for delivery at a good quality. The key difference between omnidirectional and the traditional content streaming is that with the former, users watch only part of the streamed content. Therefore, the non-watched areas of a streamed omnidirectional video are delivered unnecessarily. To reduce the network bandwidth requirements, the delivery mechanism could make use of Viewport-Dependent Streaming (VDS), according to which high-quality (HQ) video is maintained only in the current viewport, while lower quality video is streamed for the remaining part. In this paper, we examine the streaming data wastage, i.e., the parts of HQ video not watched by a user, in VDS when users linearly move from a generic viewport to another one within the 360 degrees space. We used both simulated trajectories as well real trajectories from 20 users. We show how the user's HMD exploration speed and the DASH transport segment lengths impact the streaming data wastage, leading up to 78% of wasted HQ content and up to 40% of total stream bit rate wasted due to users' motion. We also show how the users' trajectory prediction can decrease the streaming data wastage making the system up to 25% more efficient. This paper gives very useful hints that could lead to VDS optimizations, and it introduces quantitative estimates on how the data wastage characteristics change with respect to the streaming parameters.

Keywords

  • Omnidirectional video, 360-degree video, Data wastage, Viewport-dependent streaming, MPEG DASH, Immersive video

Publication forum classification

Field of science, Statistics Finland