Analysis of prediction mode decision in spatial enhancement layers in H.264/AVC SVC

  • Authors:

  • Koen De Wolf;Davy De Schrijver;Wesley De Neve;Saar De Zutter;Peter Lambert;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;Ghent University, IBBT, Department of Electronics and Information Systems, Multimedia Lab, Ledeberg, Ghent, Belgium

  • Venue:
  • CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
  • Year:
  • 2007

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Abstract

On top of the prediction modes defined in the H.264/AVC standard, Scalable Video Coding defines prediction modes for interlayer prediction. These inter-layer prediction modes allow the re-use of coded data from the base layer, at the cost of increasing the search space at the encoder and as a result increase the encoding time. In this paper, we investigate the relation between the coding decisions taken in the base layer and the enhancement layer. Our tests have shown that a number of relations can be clearly identified. We have observed that the co-located macroblock of a base layer macroblock coded in P_8x8 mode has a 40% chance of being coded in P_8x8 mode as well. Further, we have observed that the P_Skip mode is only used when the quantization parameter in the enhancement layer is high. For macroblocks coded in B_Skip mode, the co-located macroblock in the enhancement layer will be coded in the B_Skip mode when it is highly quantized (probability of 63% to 92% for quantization parameter 30). These observations can be used to construct a model for fast mode decision in SVC.