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

    ASJC Scopus subject areas

    • Industrial and Manufacturing Engineering
    • Electrical and Electronic Engineering

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