Scalable video coding based on motion-compensated temporal filtering: complexity and functionality analysis

Fabio Verdicchio, Yiannis Andreopoulos, Tom Clerckx, Joeri Barbarien, Adrian Munteanu, Jan Cornelis , Peter Schelkens

Research output: Contribution to conferencePaper

5 Citations (Scopus)

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 lie 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.
Original languageEnglish
Pages2845-2848
Publication statusPublished - 2004
EventIEEE International Conference on Image Processing (2004) - Singapore, Singapore
Duration: 4 Oct 2004 → …

Conference

ConferenceIEEE International Conference on Image Processing (2004)
CountrySingapore
CitySingapore
Period4/10/04 → …

Keywords

  • video coding

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    Verdicchio, F., Andreopoulos, Y., Clerckx, T., Barbarien, J., Munteanu, A., Cornelis , J., & Schelkens, P. (2004). Scalable video coding based on motion-compensated temporal filtering: complexity and functionality analysis. 2845-2848. Paper presented at IEEE International Conference on Image Processing (2004), Singapore, Singapore. http://ieeexplore.ieee.org/iel5/9716/30680/01421705.pdf?arnumber=1421705