Rate Assignment in 360-Degree Video Tiled Streaming Using Random Forest Regression

Streaming of high-resolution 360-degree video is typically done in a viewport-dependent fashion such as in the tile-based viewport-dependent profile of MPEG OMAF wherein clients continuously adapt their tile selection according to the user viewport. From the perspective of a streaming service operat...

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Bibliographic Details
Main Authors: Skupin, Robert, Bitterschulte, Kai, Sanchez, Yago, Hellge, Cornelius, Schierl, Thomas
Format: Conference Proceeding
Language:English
Subjects:
360-degree video
Bit rate
Encoding
random forest
Random forests
rate assignment
Streaming media
tiling
Transform coding
User experience
Video coding
VVC
Online Access:Request full text
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Summary:Streaming of high-resolution 360-degree video is typically done in a viewport-dependent fashion such as in the tile-based viewport-dependent profile of MPEG OMAF wherein clients continuously adapt their tile selection according to the user viewport. From the perspective of a streaming service operator, tile rate assignment is crucial to ensure that a given target bitrate is obeyed while quality distribution among tiles leads to a favorable user experience. This paper addresses rate assignment in a distributed tile encoding system for such multi-resolution tiled streaming services based on the emerging Versatile Video Coding Standard. A model for rate assignment is derived based on random forest regression using spatio-temporal activity and encodings of a learning dataset.
ISSN:2379-190X
DOI:10.1109/ICASSP40776.2020.9053262