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Publication Detail
Scalable video coding based on motion-compensated temporal filtering: complexity and functionality analysis
  • Publication Type:
    Conference
  • Authors:
    Verdicchio F, Andreopoulos Y, Clerckx T, Barbarien J, Munteanu A, Cornelis J, Schelkens P
  • Publisher:
    IEEE
  • Publication date:
    2004
  • Place of publication:
    Piscataway, US
  • Pagination:
    2845, 2848
  • Published proceedings:
    2004 International Conference on Image Processing (ICIP): 24-27 October 2004, Singapore
  • Volume:
    5
  • ISBN-10:
    0780385543
  • Status:
    Published
  • Language:
    English
  • Keywords:
    computational complexity, data compression, decoding, filtering theory, functional analysis, image reconstruction, image resolution, image sequences, motion compensation, video coding
Abstract
Video coding techniques yielding state-of-the-art compression performance require large amount of computational resources, hence practical implementations, which target a broad market, often tend to trade-off coding efficiency and flexibility for reduced complexity. Scalable video coding instead, not only provides seamless adaptation to bit-rate variation, but also allows the end user to trim down the resources he needs to perform real-time decoding by limiting the process to a subset of the original content. Hence, by choosing the quality, frame-rate and/or resolution of the reconstructed sequence, each decoder can meet its hardware limitations without affecting the encoding process of the media provider. This paper proposes a preliminary analysis of the memory-access behavior of a fully scalable video decoder and investigates the capability of selecting the operational settings in order to adapt to the available hardware resources on the target device.
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