Content-Aware Optimization of Tiled 360° Video Streaming Over Cellular Network

Dange, Saurabh S and Kumar, Shashwat and Antony, Franklin (2021) Content-Aware Optimization of Tiled 360° Video Streaming Over Cellular Network. In: 17th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2021, 11 October 2021 through 13 October 2021, Virtual, Online.

Text
International_Conference.pdf - Published Version
Restricted to Registered users only
Download (2MB) | Request a copy

Abstract

The proliferation of 360° video content and easy availability of head-mounted devices propelled the popularity of 360° video streaming on various platforms, including smart-phones. However, the high bandwidth requirement of 360° video streaming impedes its further growth, specifically in bandwidth constraint cellular networks. Some viewport adaptive 360° video streaming methods have been proposed recently to reduce the bandwidth requirement by spatially reducing the transmitted data. However, these methods require accurate prediction of the future viewport, and a prediction error can significantly impair the user's Quality of Experience (QoE). In this work, we took a different approach and propose a content-aware solution for tiled 360° video streaming that does not require viewport predictions. In this work, we exploit the fact that the background scene does not contain prominent details and can be transmitted at a lower bit rate without affecting the user's QoE. The proposed approach uses the saliency map to identify prevalent tiles of the 360° video through machine learning-based classification using the Kernel Density Estimation (KDE). First, the tiles are classified based on their saliency information, and then bitrates are assigned to the tile clusters. The results show that the proposed approach reduces the bandwidth requirement by 50% while delivering the equivalent user's QoE. © 2021 IEEE.

[error in script]

IITH Creators:

IITH Creators	ORCiD
Antony, Franklin	UNSPECIFIED

Item Type:

Conference or Workshop Item (Paper)

Additional Information:

ACKNOWLEDGEMENT This work is partially funded by DST under “Autonomous driving enabling fog computing platform with edge cloud orchestration and edge analytics” project.

Uncontrolled Keywords:

360° video streaming; Bitrate Allocation; Saliency Map

Subjects:

Computer science

Divisions:

Department of Computer Science & Engineering

Depositing User:

. LibTrainee 2021

Date Deposited:

10 Aug 2022 05:01

Last Modified:

10 Aug 2022 05:01