VideoMR: a map and reduce framework for real-time video processing
Files
Date issued
2015
Journal Title
Journal ISSN
Volume Title
Publisher
Václav Skala - UNION Agency
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.
Description
Subject(s)
mapování, redukce, zpracování videa, reálný čas, ohraničená paměť
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.