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Neural Video Compression Based on RBM Scene Change Detection Algorithm

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Artificial Intelligence and Soft Computing (ICAISC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9693))

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Abstract

Video and image compression technology has evolved into a highly developed field of computer vision. It is used in a wide range of applications like HDTV, video transmission, and broadcast digital video. In this paper the new method of video compression has been proposed. Neural image compression algorithm is the key component of our method. It is based on a well know method called predictive vector quantization (PVQ). It combines two different techniques: vector quantization and differential pulse code modulation. The neural video compression method based on PVQ algorithm requires correct detection of key frames in order to improve its performance. For key frame detection our method uses techniques based on the Restricted Boltzmann Machine method (RBM).

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Author information

Authors and Affiliations

  1. Institute of Computational Intelligence, Czestochowa University of Technology, Al. Armii Krajowej 36, 42-200, Czestochowa, Poland

    Michał Knop, Tomasz Kapuściński & Wojciech K. Mleczko

  2. Department of Computer Science, Georgia State University, P.O. Box 5060, Atlanta, GA, 30302-5060, USA

    Rafał Angryk

Authors
  1. Michał Knop
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  2. Tomasz Kapuściński
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  3. Wojciech K. Mleczko
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  4. Rafał Angryk
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Corresponding author

Correspondence to Michał Knop .

Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Czestochowa, Poland

    Leszek Rutkowski

  2. Częstochowa University of Technology, Czestochowa, Poland

    Marcin Korytkowski

  3. Częstochowa University of Technology, Czestochowa, Poland

    Rafał Scherer

  4. AGH University of Science and Technology, Krakow, Poland

    Ryszard Tadeusiewicz

  5. University of California, Berkeley, California, USA

    Lotfi A. Zadeh

  6. University of Louisville, Louisville, Kentucky, USA

    Jacek M. Zurada

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Knop, M., Kapuściński, T., Mleczko, W.K., Angryk, R. (2016). Neural Video Compression Based on RBM Scene Change Detection Algorithm. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2016. Lecture Notes in Computer Science(), vol 9693. Springer, Cham. https://doi.org/10.1007/978-3-319-39384-1_58

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  • DOI: https://doi.org/10.1007/978-3-319-39384-1_58

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39383-4

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