Lagrange multiplier selection for rate-distortion optimization in SVC

  • Authors:

  • Xiang Li;Peter Amon;Andreas Hutter;André Kaup

  • Affiliations:

  • Chair of Multimedia Communications and Signal Processing, University of Erlangen-Nuremberg, Erlangen and Siemens Corporate Technology, Information & Communications, Munich, Germany;Siemens Corporate Technology, Information & Communications, Munich, Germany;Siemens Corporate Technology, Information & Communications, Munich, Germany;Chair of Multimedia Communications and Signal Processing, University of Erlangen-Nuremberg, Erlangen, Germany

  • Venue:
  • PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
  • Year:
  • 2009

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Abstract

The Lagrangian multiplier based rate-distortion optimization (RDO) has been widely employed in single layer video coding. During the development of scalable video coding (SVC) extension of H.264/AVC, it was directly applied in a multi-layer scenario. However, such an application is not very efficient since the correlation between layers is not considered in the Lagrange multiplier selection. To improve the overall performance, in this paper a new selection algorithm is presented for RDO in SVC. Simulations show that the proposed method outperforms the recent SVC reference software. With a tiny computational cost, average gains of 0.22 dB and 0.35 dB were achieved in the tests of four-layer quality scalability and three-layer spatial scalability, respectively.