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Rate Assignment in 360-Degree Video Tiled Streaming Using Random Forest Regression | IEEE Conference Publication | IEEE Xplore

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


Abstract:

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 ...Show More

Abstract:

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.
Date of Conference: 04-08 May 2020
Date Added to IEEE Xplore: 09 April 2020
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Conference Location: Barcelona, Spain

References

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