Performance evaluation of adaptive residual interpolation, a tool for inter-layer prediction in H.264/AVC scalable video coding

  • Authors:

  • Koen De Wolf;Davy De Schrijver;Jan De Cock;Wesley De Neve;Rik Van de Walle

  • Affiliations:

  • Ghent University, IBBT, Department of Electronics and Information Systems, Multimedia Lab, Ledeberg, Ghent, Belgium;Ghent University, IBBT, Department of Electronics and Information Systems, Multimedia Lab, Ledeberg, Ghent, Belgium;Ghent University, IBBT, Department of Electronics and Information Systems, Multimedia Lab, Ledeberg, Ghent, Belgium;Ghent University, IBBT, Department of Electronics and Information Systems, Multimedia Lab, Ledeberg, Ghent, Belgium;Ghent University, IBBT, Department of Electronics and Information Systems, Multimedia Lab, Ledeberg, Ghent, Belgium

  • Venue:
  • SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
  • Year:
  • 2007

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Abstract

Inter-layer prediction is the most important technique for improving coding performance in spatial enhancement layers in Scalable Video Coding (SVC). In this paper we discuss Adaptive Residual Interpolation (ARI), a new approach to inter-layer prediction of residual data. This prediction method yields a higher coding performance. We integrated the ARI tool in the Joint Scalable Video Model software. Special attention was paid to the CABAC context model initialization. Further, the use, complexity, and coding performance of this technology is discussed. Three filters were tested for the interpolation of lower-layer residuals: a bi-linear filter, the H.264/AVC 6-tap filter, and a median filter. Tests have shown that ARI prediction results in an average bit rate reduction of 0.40% for the tested configurations without a loss in visual quality. In a particular test case, a maximum bit rate reduction of 10.10% was observed for the same objective quality.