Title: VideoMR: a map and reduce framework for real-time video processing
Authors: Meier, Benjamin-Heinz
Trapp, Matthias
Döllner, Jürgen
Citation: WSCG '2015: short communications proceedings: The 23rd International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2015 in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech Republic8-12 June 2015, p. 117-124.
Issue Date: 2015
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: wscg.zcu.cz/WSCG2015/CSRN-2502.pdf
ISBN: 978-80-86943-66-4
ISSN: 2464-4617
Keywords: mapování;redukce;zpracování videa;reálný čas;ohraničená paměť
Keywords in different language: mapping;reduction;video processing;real-time;bounded memory
Abstract: This paper presents VideoMR: a novel map and reduce framework for real-time video processing on graphic processing units (GPUs). Using the advantages of implicit parallelism and bounded memory allocation, our approach enables developers to focus on implementing video operations without taking care of GPU memory handling or the details of code parallelization. Therefore, a new concept for map and reduce is introduced, redefining both operations to fit to the specific requirements of video processing. A prototypic implementation using OpenGL facilitates various operating platforms, including mobile development, and will be widely interoperable with other state-of-the-art video processing frameworks.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG '2015: Short Papers Proceedings

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