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Video Technology for Storage and Distribution of Personalised Media

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Social Media Retrieval

Part of the book series: Computer Communications and Networks ((CCN))

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Abstract

The realisation of social multimedia systems depends on the availability of numerous technologies, including solutions for distribution, description, storage and personalisation. With multimedia (and in particular video) as a social medium, requirements on infrastructure are becoming more challenging compared to previous-generation systems based on textual communication. This is because rich multimedia, which includes video content, poses a much larger informational load on the system. For instance, if in Twitter each message consisting of up to 140 characters is replaced by a 1-min video, it would take a massive infrastructure to support such functionality.

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Notes

  1. 1.

    Details about the different classes of test sequences: class A (4 sequences, 2,560  × 1,600), class B (5 sequences, 1,920  × 1,080), class C (4 sequences, 832  × 480), class D (4 sequences, 416  × 240), class E (3 sequences, 1,280  × 720), class F (screen content; 4 sequences, from 832  × 480 to 1,280  × 720).

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Author information

Authors and Affiliations

  1. ELIS – Multimedia Lab, Ghent University – IBBT, Gaston Crommenlaan 8 bus 201, B-9050, Ledeberg-Ghent, Belgium

    Glenn Van Wallendael, Jan De Cock, Davy Van Deursen & Rik Van de Walle

  2. British Broadcasting Corporation, Research and Development, Department, Centre House, 56 Wood Lane, W12 7SB, London, UK

    Marta Mrak

Authors
  1. Glenn Van Wallendael
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  2. Jan De Cock
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  3. Davy Van Deursen
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  4. Marta Mrak
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  5. Rik Van de Walle
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Corresponding author

Correspondence to Glenn Van Wallendael .

Editor information

Editors and Affiliations

  1. Department of Electronic Engineering, Queen Mary University of London, Mile End Road, London, E1 4NS, United Kingdom

    Naeem Ramzan

  2. Director of Product Innovation, Search, Netflix, Winchester Circle 100, Los Gatos, 95032, California, USA

    Roelof van Zwol

  3. School of Integrated Technology, Yonsei University, 162-1 Songdo-dong, Yeonsu-gu, Incheon, 406-840, Korea, Republic of (South Korea)

    Jong-Seok Lee

  4. Institut für Telekommunikationssysteme, Technische Universität Berlin, Einsteinufer 17, Berlin, 10587, Germany

    Kai Clüver

  5. Media Computing Group, Microsoft Research, 555 108th Ave NE, Bellevue, 98004, Washington, USA

    Xian-Sheng Hua

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Van Wallendael, G., De Cock, J., Van Deursen, D., Mrak, M., Van de Walle, R. (2013). Video Technology for Storage and Distribution of Personalised Media. In: Ramzan, N., van Zwol, R., Lee, JS., Clüver, K., Hua, XS. (eds) Social Media Retrieval. Computer Communications and Networks. Springer, London. https://doi.org/10.1007/978-1-4471-4555-4_16

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  • DOI: https://doi.org/10.1007/978-1-4471-4555-4_16

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