Live video streaming with adaptive pre-processing by using scalable video coding

Dan Grois, Ofer Hadar, Rony Ohayon, Noam Amram

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

9 Scopus citations

Abstract

In this work, a novel live scalable video streaming scheme, with adaptive pre-processing (pre-filtering), is presented. The scheme employs Scalable Video Coding (SVC), which is an extension of the H.264/AVC. An adaptive pre-filter is provided for each SVC layer, while each pre-filter's parameters, such as the standard deviation and kernel matrix size, are dynamically adjusted according to the varying network conditions, thereby enabling to continuously obtain an optimal visual presentation quality at the decoder end. The performance of the presented live scalable video streaming scheme is evaluated and tested in detail, thereby demonstrating significant improvements of more than 2dB.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Consumer Electronics, ICCE 2013
Pages588-589
Number of pages2
DOIs
StatePublished - 24 Apr 2013
Event2013 IEEE International Conference on Consumer Electronics, ICCE 2013 - Las Vegas, NV, United States
Duration: 11 Jan 201314 Jan 2013

Publication series

NameDigest of Technical Papers - IEEE International Conference on Consumer Electronics
ISSN (Print)0747-668X

Conference

Conference2013 IEEE International Conference on Consumer Electronics, ICCE 2013
Country/TerritoryUnited States
CityLas Vegas, NV
Period11/01/1314/01/13

Keywords

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

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