Abstract:
Virtually Reality (VR) technology, especially 360 VR videos, is currently a hot topic thanks to its immersive experience, compared to traditional multimedia applications,...Show MoreNotes: This article was originally incorrectly tagged as not presented at the conference. It is now included as part of the conference record.
Metadata
Abstract:
Virtually Reality (VR) technology, especially 360 VR videos, is currently a hot topic thanks to its immersive experience, compared to traditional multimedia applications, such as allowing users to experience a close real life by panoramic view. Nevertheless, 360 VR video transmission consumes a huge bandwidth. Besides, how to reduce the delay of 360 VR video streaming is another problem. To address these two challenges, in this paper, we introduce an efficient adaptive 360 VR video streaming method over HTTP/2 using stream priority and stream termination features. To support adaptivity, a 360 VR video is divided into multiple faces and each face is chunked into temporal segments. The video is also stored at the server with different levels of quality. In our method, we focus on the low delay scenario and thus all faces are downloaded simultaneously by using priority feature of HTTP/2 and the client decodes them based on the Group of Pictures (GOP). If the bandwidth suddenly drops, the client will break the simultaneity and inform the server to push consecutively the faces based on their priorities. In addition, stream termination feature can be used to terminate the media parts, which will miss the deadline. The experimental results show that, when the initial buffer is set to 0.5s, there is only 0.08% of the number of GOPs in the front face that miss the deadline in our proposed method, compared to the values of 0.75% and 3.34% of two reference methods.
Notes: This article was originally incorrectly tagged as not presented at the conference. It is now included as part of the conference record.
Date of Conference: 18-20 July 2018
Date Added to IEEE Xplore: 08 November 2018
ISBN Information: