The document discusses the shift from AVC to newer video codecs like HEVC, VP9, AV1, and VVC for efficient video streaming. It introduces a mixed-binary linear programming model called MCOM-Live, which optimizes streaming costs and visual quality by enabling multi-codec delivery and real-time management of video representations. Initial results show significant reductions in streaming costs and latency, with improvements in visual quality compared to traditional methods.

1. Farzad
Tashtarian
New generation video codecs (HEVC, VP9,
AV1, VVC) to soon replace AVC.
Each video streaming platform supports
only a specific set of video codecs.
Performance of video codecs depends on
the content.
ABSTRACT
With the evolution of videos in resolution and framerate, high efficient video compression schemes are required to deliver high quality with low data occupancy. With new generation codecs
being developed, enabling multi-codec video streaming efficiently becomes a necessary task. We therefore propose a Mixed-Binary Linear Programming (MBLP) model to jointly optimize the
overall streaming costs and the visual quality of the multi-codec delivered content.
INTRODUCTION
Video streaming expected to account
globally for 79% of Internet data in 2027 [1].
MCOM-Live
A Multi-Codec Optimization Model at the Edge
for Live Streaming
AUTHORS
Daniele
Lorenzi
AFFILIATIONS
Christian Doppler Laboratory
ATHENA
Alpen-Adria-Universitat
Klagenfurt, Klagenfurt, Austria
MCOM-Live
Video content encoded with multiple codecs according to a fixed bitrate ladder.
PSNR for each segment and representation computed in real-time and available at the Edge server.
MCOM-Live chooses among three policies, i.e., fetch, transcode, or skip, how to handle video representations.
Initial results available for AVC and HEVC according to different combinations weight-scenario:
Each scenario denotes a different coverage for AVC and HEVC.
Streaming costs always lower than with the classic approach.
Reduction of additional latency by up to 23% and of streaming costs by up to 78%; visual quality improved by
up to 0.5 dB, in terms of PSNR.
ACKNOWLEDGMENT
The financial support of the Austrian Federal Ministry for Digital and Economic Af-
fairs, the National Foundation for Research, Technology and Development, and the
Christian Doppler Research Association, is gratefully acknowledged. Christian Doppler
Laboratory ATHENA: https://athena.itec.aau.at/.
IMPLEMENTATION
REFERENCES
[1] Ericsson Mobility Report. [Online] Available: https://www.ericsson.com/4ad7e9/assets/local/reports-
papers/mobility-report/documents/2021/ericssonmobility-report-november-2021.pdf.
[2] Bienik, J., et. al.: "Performance of H.264, H.265, VP8 and VP9 Compression Standards for High
Resolutions". In 2016 19th International Conference on Network-Based Information Systems (NBiS),
Rate-Distortion (RD) curves for UHD video contents [2]
https://athena.itec.aau.at/2022/11/2891/
Python HTTP server and scripts to
manage the player environment.
Comparison between the traditional approach and ours
MPD file updated in real-time to
simulate live-streaming.
Hermann
Hellwagner
Christian
Timmerer
Hadi
Amirpour
Real network trace applied
through the tc tool.