Network-optimized adaptive SVC-based live video streaming

Dan Grois, Ofer Hadar, Detlev Marpe

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In this work, a network-optimized live scalable video streaming scheme with adaptive preprocessing is presented, while showing significant improvements in visual quality. According to the proposed scheme, an adaptive pre-filter is applied prior to encoding each Scalable Video Coding (SVC) layer, while each pre-filter parameters are dynamically adjusted according to varying network conditions, such as the network Round Trip Time (RTT) and packet loss ratio, thereby enabling to continuously obtain an optimal visual quality at the decoder side. The performance of the presented scheme is evaluated and tested in detail, thereby demonstrating a significant gain of up to 5dB.

Original languageEnglish
Title of host publicationProceedings 2013 IEEE 3rd International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2013
PublisherIEEE Computer Society
Pages352-354
Number of pages3
ISBN (Print)9781479914128
DOIs
StatePublished - 1 Jan 2013
Event2013 IEEE 3rd International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2013 - Berlin, Germany
Duration: 8 Sep 201311 Sep 2013

Publication series

NameProceedings 2013 IEEE 3rd International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2013

Conference

Conference2013 IEEE 3rd International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2013
Country/TerritoryGermany
CityBerlin
Period8/09/1311/09/13

Keywords

  • Scalable Video Coding (SVC)
  • adaptive pre-processing
  • high visual quality
  • real-time video streaming

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