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Efficient Grid-Based Video Storage and Retrieval

  • Conference paper
Book cover On the Move to Meaningful Internet Systems: OTM 2008 (OTM 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5331))

Abstract

Different fields, such as news broadcasting (news, shows, series, etc), advertising, and medical applications, require to store a large amount of video data which can be used later on. Content-Based Video Retrieval (CBVR) systems are very attractive since they can help users to retrieve video sequences over large video databases with respect to some specific topic, character or place. In most cases, stored videos belong to different organizations and have a quite demanding storage capacity. These features fit in a natural way into the concept of grid computing, that provides a great computing and storage capacity thanks to the use of heterogeneous resources put together by the cooperation and resource sharing among different institutions.

This paper presents a Grid and Content-based VIdeo Retrieval (GCViR) system that offers a good cost/performance ratio to select the most suitable grid resources for data storage in order to store and retrieve large video data providing flexibility and scalability. An evaluation shows the feasibility and benefits of this approach.

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Author information

Authors and Affiliations

  1. Dpto. de Arquitectura y Tecnología de Computadores, Ciencia de la Computación e Inteligencia Artificial, U. Rey Juan Carlos, C/ Tulipán, s/n, 28933, Móstoles Madrid, Spain

    Pablo Toharia, Alberto Sánchez & Oscar D. Robles

  2. Dpto. de Eléctronica y Computadores, U. Cantabria, Avenida de los Castros s/n, 39005, Santander, Cantabria, Spain

    José Luis Bosque

Authors
  1. Pablo Toharia
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  2. Alberto Sánchez
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  3. José Luis Bosque
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  4. Oscar D. Robles
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Editors and Affiliations

  1. STARLab, Bldg G/10, Vrije Universiteit Brussel (VUB), Pleinlaan 2, 1050, Brussels, Belgium

    Robert Meersman

  2. School of Computer Science and Information Technology, Bld 10.10, RMIT University, 376-392 Swanston Street, VIC 3001, Melbourne, Australia

    Zahir Tari

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Toharia, P., Sánchez, A., Bosque, J.L., Robles, O.D. (2008). Efficient Grid-Based Video Storage and Retrieval. In: Meersman, R., Tari, Z. (eds) On the Move to Meaningful Internet Systems: OTM 2008. OTM 2008. Lecture Notes in Computer Science, vol 5331. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88871-0_59

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  • DOI: https://doi.org/10.1007/978-3-540-88871-0_59

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88870-3

  • Online ISBN: 978-3-540-88871-0

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