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Collection, Analysis and Summarization of Video Content

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Multimedia and Network Information Systems (MISSI 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 833))

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Abstract

Information overload is a term used to describe the difficulty of understanding when one has too much information. Information overload is one of the most common barriers in the access to e.g. video newscasts and reports. So, how a user can access and understand the overloaded information? We define the process of understanding as the assimilation of the main ideas carried by information. The best way to help and speed up understanding is summarizing the information. In this paper, we present the full scope of the summarization process, leading to a new approach for summarizing video sequences, with the special emphasis put on those with short original duration.

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Acknowledgment

Research work funded by the National Science Center, Poland, conferred on the basis of the decision number DEC-2015/16/Z/ST7/00559.

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Authors and Affiliations

  1. AGH University of Science and Technology, 30059, Kraków, Poland

    Arian Koźbiał & Mikołaj Leszczuk

Authors
  1. Arian Koźbiał
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  2. Mikołaj Leszczuk
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Corresponding author

Correspondence to Arian Koźbiał .

Editor information

Editors and Affiliations

  1. Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Kazimierz Choroś

  2. Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Marek Kopel

  3. Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Elżbieta Kukla

  4. Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Andrzej Siemiński

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Koźbiał, A., Leszczuk, M. (2019). Collection, Analysis and Summarization of Video Content. In: Choroś, K., Kopel, M., Kukla, E., Siemiński, A. (eds) Multimedia and Network Information Systems. MISSI 2018. Advances in Intelligent Systems and Computing, vol 833. Springer, Cham. https://doi.org/10.1007/978-3-319-98678-4_41

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