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Multi-resolution quality-based video coding system for DASH scenarios

Published: 02 July 2021 Publication History

Abstract

Today, more than 85% of Internet traffic has a multimedia component. Video streaming occupies a large part of this percentage mainly because this type of content is provided by the most used applications on the Internet (e.g. Twitch, TikTok, Disney+, YouTube, Netflix, etc.). Most of these platforms use HTTP Adaptive Streaming (HAS) to send this media content to end users in order to ensure a good quality of experience (QoE). But, this QoE should be guaranteed from the video to be transmitted, i.e., the video should have an adequate quality by minimizing the bitrate before transmission. In order to solve this issue, we present a system capable of encoding a video in several resolutions given the desired value of an objective metric. Our system includes the objective metric in the encoding loop in order to maintain the quality in all segments. This system has been tested with three video and five resolutions for each video. Our proposal provides improvements of more than 10% in terms of video size and with similar coding times when compared with a fixed Constant Rate Factor (CRF) encoding. A visual comparison between our proposal and a fixed CRF encoding can be seen at: https://links.uv.es/jgutierr/multiresQ

References

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Hadi Amirpour, Ekrem Çetinkaya, Christian Timmerer, and Mohammad Ghanbari. 2021. Towards Optimal Multirate Encoding for HTTP Adaptive Streaming. In MultiMedia Modeling, Jakub Lokoč, Tomáš Skopal, Klaus Schoeffmann, Vasileios Mezaris, Xirong Li, Stefanos Vrochidis, and Ioannis Patras (Eds.). Springer International Publishing, Cham, 469--480.
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M. Seufert, S. Egger, M. Slanina, T. Zinner, T. Hoßfeld, and P. Tran-Gia. 2015. A Survey on Quality of Experience of HTTP Adaptive Streaming. IEEE Communications Surveys Tutorials 17, 1 (2015), 469--492.
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Cited By

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  • (2023)Video quality metrics toolkit: An open source software to assess video qualitySoftwareX10.1016/j.softx.2023.10142723(101427)Online publication date: Jul-2023
  • (2021)Improving DASH Encoding with Scenes and Downscaling Techniques for VoD Streaming2021 IEEE Global Communications Conference (GLOBECOM)10.1109/GLOBECOM46510.2021.9685880(1-6)Online publication date: Dec-2021

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    cover image ACM Conferences
    NOSSDAV '21: Proceedings of the 31st ACM Workshop on Network and Operating Systems Support for Digital Audio and Video
    July 2021
    128 pages
    ISBN:9781450384353
    DOI:10.1145/3458306
    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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    New York, NY, United States

    Publication History

    Published: 02 July 2021

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    Author Tags

    1. DASH
    2. QoE
    3. VMAF
    4. multi-resolution
    5. quality
    6. video coding

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    • Research-article

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    MMSys '21
    Sponsor:
    MMSys '21: 12th ACM Multimedia Systems Conference
    September 28 - October 1, 2021
    Istanbul, Turkey

    Acceptance Rates

    NOSSDAV '21 Paper Acceptance Rate 15 of 52 submissions, 29%;
    Overall Acceptance Rate 118 of 363 submissions, 33%

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    Cited By

    View all
    • (2023)Video quality metrics toolkit: An open source software to assess video qualitySoftwareX10.1016/j.softx.2023.10142723(101427)Online publication date: Jul-2023
    • (2021)Improving DASH Encoding with Scenes and Downscaling Techniques for VoD Streaming2021 IEEE Global Communications Conference (GLOBECOM)10.1109/GLOBECOM46510.2021.9685880(1-6)Online publication date: Dec-2021

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