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Complexity Scalability in Motion-Compensated Wavelet-Based Video Coding

  • Conference paper
Advanced Concepts for Intelligent Vision Systems (ACIVS 2006)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4179))

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Abstract

Scalable wavelet-based video codecs based on motion-compensated temporal filtering (MCTF) require complexity scalability to cope with the growing heterogeneity of devices on which video has to be processed. The computational and memory complexity of two spatial-domain (SD) MCTF and in-band (IB) MCTF video codec instantiations are examined in this paper. Comparisons in terms of complexity versus performance are presented for both types of codecs. Some of the trade-offs between complexity and coding performance are analyzed and it is indicated how complexity scalability can be achieved in such video-codecs. Furthermore, a new approach is presented to obtain complexity scalability in IBMCTF video coding, by targeting the complexity of the complete-to-overcomplete discrete wavelet transform at the cost of a limited and controllable penalty on the overall coding performance.

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© 2006 Springer-Verlag Berlin Heidelberg

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Clerckx, T., Munteanu, A., Cornelis, J., Schelkens, P. (2006). Complexity Scalability in Motion-Compensated Wavelet-Based Video Coding. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2006. Lecture Notes in Computer Science, vol 4179. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11864349_38

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  • DOI: https://doi.org/10.1007/11864349_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44630-9

  • Online ISBN: 978-3-540-44632-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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