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Generic Framework for Parallel and Distributed Processing of Video-Data

  • Conference paper
Frontiers of High Performance Computing and Networking – ISPA 2006 Workshops (ISPA 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4331))

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Abstract

This paper presents a software framework providing a platform for parallel and distributed processing of video data on a cluster of SMP computers. Existing video-processing algorithms can be easily integrated into the framework by considering them as atomic processing tiles (PTs). PTs can be connected to form processing graphs that model the data flow. Parallelization of the tasks in this graph is carried out automatically using a pool-of-tasks scheme. The data format that can be processed by the framework is not restricted to image data, such that also intermediate data, like detected feature points, can be transferred between PTs. Furthermore, the processing can be carried out efficiently on special-purpose processors with separate memory, since the framework minimizes the transfer of data. We also describe an example application for a multi-camera view-interpolation system that we successfully implemented on the proposed framework.

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Authors and Affiliations

  1. Signal Processing Systems, LG 0.10, University Eindhoven, 5600, MB, Eindhoven, Netherlands

    Dirk Farin & Peter H. N. de With

  2. LogicaCMG, PO Box 7089, 5605, JB, Eindhoven, Netherlands

    Peter H. N. de With

Authors
  1. Dirk Farin
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  2. Peter H. N. de With
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Editor information

Editors and Affiliations

  1. Department of Computing, School of Informatics, University of Bradford, BD7 1DP, Bradford, U.K.

    Geyong Min

  2. Dipartimento di Ingegneria dell’ Informazione - Second, University of Naples - Italy, Real Casa dell’Annunziata - via Roma, 29 81031, Aversa (CE), Italy

    Beniamino Di Martino

  3. Department of Computer Science, St. Francis Xavier University, Antigonish, Canada

    Laurence T. Yang

  4. Department of Computer Science and Engineering, Shanghai Jiao Tong University, 200030, Shanghai, China

    Minyi Guo

  5. Department of Computer Science, Chemnitz University of Technology, Germany

    Gudula Rünger

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© 2006 Springer-Verlag Berlin Heidelberg

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Farin, D., de With, P.H.N. (2006). Generic Framework for Parallel and Distributed Processing of Video-Data. In: Min, G., Di Martino, B., Yang, L.T., Guo, M., Rünger, G. (eds) Frontiers of High Performance Computing and Networking – ISPA 2006 Workshops. ISPA 2006. Lecture Notes in Computer Science, vol 4331. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11942634_84

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  • DOI: https://doi.org/10.1007/11942634_84

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-49860-5

  • Online ISBN: 978-3-540-49862-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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