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Optimizing real-time video encoders with ML

Published: 17 March 2022 Publication History

Abstract

The main goal when designing video compression systems is to maximize video quality for a given bitrate (or achieve a target video quality at the lowest possible bitrate), all within well-defined processing resources. Since economic and environmental aspects often place strict constraints on those resources, defining the optimal encoder toolset to maximize compression efficiency within the available computational footprint becomes crucial.

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  • (2023)Encoding Optimizations for Video Game Live StreamingSMPTE Motion Imaging Journal10.5594/JMI.2023.3303499132:9(39-49)Online publication date: Oct-2023

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cover image ACM Conferences
MHV '22: Proceedings of the 1st Mile-High Video Conference
March 2022
150 pages
ISBN:9781450392228
DOI:10.1145/3510450
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 17 March 2022

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Author Tags

  1. artificial intelligence
  2. compression efficiency
  3. machine learning

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MHV '22
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MHV '22: Mile-High Video Conference
March 1 - 3, 2022
Colorado, Denver

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  • (2023)Encoding Optimizations for Video Game Live StreamingSMPTE Motion Imaging Journal10.5594/JMI.2023.3303499132:9(39-49)Online publication date: Oct-2023

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