Spatial enhancement layer utilisation for SVC in base layer error concealment

Mikko Uitto, Janne Vehkaperä

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

    Abstract

    The Scalable Video Coding (SVC) has been recently added as an extension to H.264/AVC standard. This extension allows both bit rate and device capability adaptation which are desirable features especially in error-prone wireless heterogeneous networks. This paper investigates the spatio-temporal error concealment techniques for packet losses in wireless IP networks, where scalable video coding (SVC) can be used. Three methods are introduced: pixel-value interpolation, frame copy and a new method, which utilises the correctly received spatial enhancement layer information if the corresponding base layer is missing. Unlike the new method, the traditional methods discard the corresponding enhancement layer data in the case when the base layer is missing. The simulation results indicate that enhancement layer utilisation provides better results in the case of a missing base layer than the traditional error concealment methods improving the image quality on average 2 dB.
    Original languageEnglish
    Title of host publicationProceedings of the 5th International Mobile Multimedia Communications Conference, Mobimedia '09
    EditorsMaria G. Martini, Christos Politis, Alexander Knauf, Thomas C. Schmidt, Matthias Wählisch
    Pages1-8
    DOIs
    Publication statusPublished - 2009
    MoE publication typeA4 Article in a conference publication
    Event5th International ICST Mobile Multimedia Communications Conference, Mobimedia '09 - London, United Kingdom
    Duration: 7 Sep 20099 Sep 2009

    Conference

    Conference5th International ICST Mobile Multimedia Communications Conference, Mobimedia '09
    Abbreviated titleMobimedia '09
    CountryUnited Kingdom
    CityLondon
    Period7/09/099/09/09

    Keywords

    • H.264/AVC
    • SVC
    • error resilience
    • adaptive video

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