Video streaming optimization using degradation estimation with unequal error protection

Philip Tovstogan, Hsu-Feng Hsiao

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

Abstract

Videos compressed using modern compression techniques, such as HEVC, typically have the property of unequal importance. When a video with intra and inter coded frames is transmitted through a network, its different frames can suffer from quality degradation depending on their sizes and channel coding schemes. Moreover, errors in a reference frame can propagate forward and backward over several frames, while errors in a non-reference frame are localized within the same frame. In this paper, we design a system that dynamically determines the coding parameters of layer-aligned multipriority rateless codes depending on the video content and channel condition. For this purpose, we estimate the strength of error propagation and develop a model to estimate quality degradation of a transmitted video accurately. Through minimizing quality degradation, we are able to calculate optimal parameters for the system.

Original languageEnglish
Title of host publicationIEEE International Symposium on Circuits and Systems
Subtitle of host publicationFrom Dreams to Innovation, ISCAS 2017 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467368520
DOIs
StatePublished - 25 Sep 2017
Event50th IEEE International Symposium on Circuits and Systems, ISCAS 2017 - Baltimore, United States
Duration: 28 May 201731 May 2017

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)0271-4310

Conference

Conference50th IEEE International Symposium on Circuits and Systems, ISCAS 2017
CountryUnited States
CityBaltimore
Period28/05/1731/05/17

Keywords

  • quality degradation model
  • rateless codes
  • unequal error protection
  • video streaming

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