Entropy based frame exclusion framework for video transmission over next generation networks

Dalia El-Banna, Taufiq Asyhari

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

Abstract

With the growing increase of the video traffic and the increasing expectations of users in terms of the acceptable video quality, achieving the users' Quality of Experience (QoE) while maximising the network resource utilisation to avoid any potential loss of revenue for the ISPs had become a challenge. Traditional Admission Control (AC) algorithms have many limitations in terms of achieving the balance between the perceived QoE and the number of admitted video sessions. This paper proposes a novel framework that exploits video traffic characteristics to present an adaptive admission control technique without compromising the perceived QoE for video traffic. More specifically, we apply an information theoretic tool, namely information entropy, to perform frame selection to the incoming video signals. Experiment results highlight the promise of the studied framework and identify possible future applications.

Original languageEnglish
Title of host publicationETCCE 2020 - International Conference on Emerging Technology in Computing, Communication and Electronics
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1-6
Number of pages6
ISBN (Electronic)9781665419628, 9781665419611
ISBN (Print)9781665419635
DOIs
Publication statusPublished - 2020
Externally publishedYes
EventInternational Conference on Emerging Technology in Computing, Communication and Electronics 2020 - Online, Dhaka, Bangladesh
Duration: 21 Dec 202022 Dec 2020
https://ieeexplore.ieee.org/xpl/conhome/9350668/proceeding (Proceedings)

Conference

ConferenceInternational Conference on Emerging Technology in Computing, Communication and Electronics 2020
Abbreviated titleETCCE 2020
Country/TerritoryBangladesh
CityDhaka
Period21/12/2022/12/20
Internet address

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