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Mapping GOPS in an Improved DVC to H.264 Video Transcoder

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Advanced Concepts for Intelligent Vision Systems (ACIVS 2010)

Abstract

In mobile to mobile video communications, both transmitter and receptor should keep low complexity constrains during video compression and decompression processes. Traditional video codecs have highly complex encoders and less complex decoders whereas the Wyner-Ziv video coding paradigm inverses the complexity by using more complex decoders and less complex encoders. For this reason, transcoding from Wyner-Ziv to H.264 provides a suitable framework where both devices have low complexity constraints. This paper proposes a flexible Wyner-Ziv to H.264 transcoder which allows us to map from a Wyner-Ziv GOP pattern to a I11P H.264 GOP. Furthermore, the transcoding process is improved when reusing the motion vectors that have been calculated during the Wyner-Ziv decoding process to reduce the H.264 motion estimation complexity. Accordingly a time reduction up to 72% is obtained without significant rate-distortion loss.

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Corrales-Garcia, A., Fernandez-Escribano, G., Quiles, F.J. (2010). Mapping GOPS in an Improved DVC to H.264 Video Transcoder. In: Blanc-Talon, J., Bone, D., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2010. Lecture Notes in Computer Science, vol 6475. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17691-3_3

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  • DOI: https://doi.org/10.1007/978-3-642-17691-3_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17690-6

  • Online ISBN: 978-3-642-17691-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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