Share Email Print
cover

Proceedings Paper

A sub-picture-based omnidirectional video live streaming platform
Author(s): Srinivas Gudumasu; Ahmed Hamza; Yong He; Yan Ye
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

MPEG Omnidirectional Media Format (OMAF) specifies both a viewport-dependent video profile and a viewportdependent presentation profile to enable immersive media applications. A sub-picture-based approach for viewportdependent streaming is one of the main approaches being explored in MPEG OMAF standardization. This paper presents a sub-picture-based omnidirectional video live streaming platform with state of the art technologies integrated on both server and client sides to illustrate the benefits of such viewport-dependent omnidirectional video streaming approach. The technologies include omnidirectional video acquisition, sub-picture partitioning, real-time GPUaccelerated HEVC encoding and DASH-based live streaming. The presented platform supports virtual reality (VR) clients including both VR head-mounted displays (HMDs) and conventional 2D displays. Viewing orientation tracking and realtime viewport extraction are also supported in our platform. As with all live streaming platforms, one of the main goals of our platform is to minimize end-to-end system latency. A new metric called Comparable-Quality Viewport Switching (CQVS) latency is proposed to evaluate the performance of viewport dependent video streaming and presentation. The CQVS latency is defined as the amount of time it takes for the viewport video quality to improve to a level comparable to that prior to viewport switching. The platform was demonstrated in the Joint 3GPP and VRIF workshop on VR and the 2018 Mobile World Congress as one of the first OMAF-compliant viewport-dependent live streaming solutions.

Paper Details

Date Published: 17 September 2018
PDF: 12 pages
Proc. SPIE 10752, Applications of Digital Image Processing XLI, 1075234 (17 September 2018); doi: 10.1117/12.2501264
Show Author Affiliations
Srinivas Gudumasu, Aricent Technologies (India)
Ahmed Hamza, InterDigital Communications, Inc. (United States)
Yong He, InterDigital Communications, Inc. (United States)
Yan Ye, InterDigital Communications, Inc. (United States)


Published in SPIE Proceedings Vol. 10752:
Applications of Digital Image Processing XLI
Andrew G. Tescher, Editor(s)

© SPIE. Terms of Use
Back to Top