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Efficient Low Complexity SVC Video Transrater with Spatial Scalability

  • Christophe Deknudt
  • Franc̨ois-Xavier Coudoux
  • Patrick Corlay
  • Marc Gazalet
  • Mohamed Gharbi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8192)

Abstract

In this paper we propose a new H.264 SVC transrating architecture for spatially scalable SVC compressed video streams. The algorithm is low complexity based, it applies to spatially scalable pre-encoded video streams and allows fine bit rate granularity while keeping highest spatial resolution. Simulation results demonstrate that transcoded bit streams produce satisfying picture quality even at bit rate reduction up to 66%. The comparison with MGS compressed video streams shows that the proposed transrating aslgorithm offers satisfying performances compared to MGS when bit rate reduction remains limited. Moreover quality scalability is obtained thanks to our algorithm even if the SVC compressed video bitstream has not been processed using MGS scalability right from the start.

Keywords

Video compression H.264 SVC Spatial Scalability Transcoding Medium Grain Scalability (MGS) 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Christophe Deknudt
    • 1
  • Franc̨ois-Xavier Coudoux
    • 1
  • Patrick Corlay
    • 1
  • Marc Gazalet
    • 1
  • Mohamed Gharbi
    • 1
  1. 1.I.E.M.N., OAE Department, UMR 8520University of ValenciennesValenciennes Cedex 9France

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