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Video Shot Extraction on Parallel Architectures

  • Conference paper
Book cover Parallel and Distributed Processing and Applications (ISPA 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4330))

Abstract

One of the main objectives of Content-based Multimedia Retrieval systems is the automation of the information extraction process from raw data. When dealing with video data, the first step is to perform a temporal video segmentation in order to make a shot decomposition of the video content. From a computational point of view, this is a very high demanding task and algorithm optimization must be seeked. This paper presents a comparison between two different parallel programming paradigms: shared-memory communication and distributed memory processing using the message passing paradigm. Taking into account the software solutions, experimental results are collected over two alternative parallel architectures: a shared-memory symmetric multiprocessor and a cluster. This paper analyzes the performance achieved from the viewpoints of speed and scalability.

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Author information

Authors and Affiliations

  1. Dept. de Arquitectura y Tecnología de Computadores e Inteligencia Artificial, Universidad Rey Juan Carlos (URJC),  

    Pablo Toharia, Oscar D. Robles & José L. Bosque

  2. Dpto. de Electrónica y Computadores, Universidad de Cantabria (UC),  

    José L. Bosque

  3. Dept. de Tecnología Fotónica, Universidad Politécnica de Madrid (UPM),  

    Angel Rodríguez

Authors
  1. Pablo Toharia
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  2. Oscar D. Robles
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  3. José L. Bosque
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  4. Angel Rodríguez
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Editor information

Editors and Affiliations

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

    Minyi Guo

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

    Laurence T. Yang

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

    Beniamino Di Martino

  4. Institute of Scientific Computing, University of Vienna, Nordbergstr. 15/C/3, A-1090, Vienna, Austria/JPL, Caltech, USA

    Hans P. Zima

  5. Computer Science Department, University of Tennessee, TN 37996-3450, Knoxville, USA

    Jack Dongarra

  6. Grid Computing Center, Shanghai Jiao Tong University, 800 Dongchuan Road, 200240, Shanghai, China

    Feilong Tang

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© 2006 Springer-Verlag Berlin Heidelberg

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Toharia, P., Robles, O.D., Bosque, J.L., Rodríguez, A. (2006). Video Shot Extraction on Parallel Architectures. In: Guo, M., Yang, L.T., Di Martino, B., Zima, H.P., Dongarra, J., Tang, F. (eds) Parallel and Distributed Processing and Applications. ISPA 2006. Lecture Notes in Computer Science, vol 4330. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11946441_78

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  • DOI: https://doi.org/10.1007/11946441_78

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-68067-3

  • Online ISBN: 978-3-540-68070-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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