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Inter Layer Intra Prediction Using Lower Layer Information for Spatial Scalability

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Intelligent Computing in Signal Processing and Pattern Recognition

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 345))

Abstract

This paper proposes an efficient scalable coding scheme with intra coding for spatial scalability, where the base layer is encoded with H.264/AVC compatible, and the enhancement layer is encoded with an improved extension mode of the base layer intra prediction. In order to improve coding efficiency of the enhancement layer, the proposed scheme uses base layer information for intra prediction when the enhancement layer information is not available. Experimental results show that the average increment on PSNR-Y is about 0.086dB for sequence Mobile and 0.11dB for sequence Foreman, with almost no changes on both the encoding Bit-rate and the computation complexity.

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© 2006 Springer-Verlag Berlin Heidelberg

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Wang, Z., Liu, J., Tan, Y., Tian, J. (2006). Inter Layer Intra Prediction Using Lower Layer Information for Spatial Scalability. In: Huang, DS., Li, K., Irwin, G.W. (eds) Intelligent Computing in Signal Processing and Pattern Recognition. Lecture Notes in Control and Information Sciences, vol 345. Springer, Berlin, Heidelberg . https://doi.org/10.1007/978-3-540-37258-5_31

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  • DOI: https://doi.org/10.1007/978-3-540-37258-5_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-37257-8

  • Online ISBN: 978-3-540-37258-5

  • eBook Packages: EngineeringEngineering (R0)

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