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A Method for Detection/Deletion via Network Coding for Unequal Error Protection of Scalable Video over Error-Prone Networks

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Mobile Multimedia Communications (MobiMedia 2011)

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Abstract

The development of universal systems for video streaming needs transmission strategies that exploit the characteristics of the transmission medium such as a wireless network. Scalable video coding allows partial decoding of the video for multiple demands or under severe reception conditions. Network coding increases the transmission rate and provides error control at network level. We propose a detection/deletion system for error reduction in presence of channel noise. We combine the error detection capabilities of the network code with erasure decoding and unequal error protection to improve the visual quality of the video.

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Author information

Authors and Affiliations

  1. School of Electronic Engineering and Computer Science, Queen Mary, University of London, E1 4NS, London, UK

    Michele Sanna & Ebroul Izquierdo

Authors
  1. Michele Sanna
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  2. Ebroul Izquierdo
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Editor information

Editors and Affiliations

  1. Department of Electrical and Electronic Engineering (DIEE), University of Cagliari, Piazza d’Armi, 09123, Cagliari, Italy

    Luigi Atzori

  2. Department of Computer Architecture, Universitat Politècnica de Catalunya, Tànger, 122-140, 08018, Barcelona, Spain

    Jaime Delgado

  3. Department of Electrical and Electronical Engineering (DIEE), University of Cagliari, Piazza d’Armi, 09123, Cagliari, Italy

    Daniele Giusto

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© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Sanna, M., Izquierdo, E. (2012). A Method for Detection/Deletion via Network Coding for Unequal Error Protection of Scalable Video over Error-Prone Networks. In: Atzori, L., Delgado, J., Giusto, D. (eds) Mobile Multimedia Communications. MobiMedia 2011. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 79. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30419-4_11

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  • DOI: https://doi.org/10.1007/978-3-642-30419-4_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30418-7

  • Online ISBN: 978-3-642-30419-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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