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Audiovisual Compression Techniques Using DCT-DWT and LPC Codec for Audiovisual Human Machines Interfaces

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Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016 (IntelliSys 2016)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 16))

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Abstract

Audiovisual data compression has received a considerable progress in recent years. A lot of research focused on the application of the Discrete Cosine transform DCT and the Discrete wavelet transform DWT for JPEG and MPEG compression, while the LPC model has been widely used for the acoustic data compression. The aim of our work is to study the effect of the audiovisual compression from a video sequence using DCT, DWT for the extracted images and linear predictive coding LPC for acoustic waves. For this purpose, we use video and audio samples from TIMIT dataset and from an audio visual recording made in our laboratory. The standard Lena image is taken for comparison. Good results were obtained using PSNR criteria for objective evaluation.

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Authors and Affiliations

  1. Speech Communication and Signal Processing Laboratory, Faculty of Electronics and Computing, University of Science and Technology Houari Boumediene (USTHB), El Alia, Box No: 32, 16111, Algiers, Algeria

    Fatma Zohra Chelali & Amar Djeradi

Authors
  1. Fatma Zohra Chelali
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  2. Amar Djeradi
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Corresponding author

Correspondence to Fatma Zohra Chelali .

Editor information

Editors and Affiliations

  1. Faculty of Computing and Engineering, School of Computing and Mathematics, University of Ulster at Jordanstown, Newtownabbey, United Kingdom

    Yaxin Bi

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, United Kingdom

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, Bradford, West Yorkshire, United Kingdom

    Rahul Bhatia

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Chelali, F.Z., Djeradi, A. (2018). Audiovisual Compression Techniques Using DCT-DWT and LPC Codec for Audiovisual Human Machines Interfaces. In: Bi, Y., Kapoor, S., Bhatia, R. (eds) Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. IntelliSys 2016. Lecture Notes in Networks and Systems, vol 16. Springer, Cham. https://doi.org/10.1007/978-3-319-56991-8_82

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  • DOI: https://doi.org/10.1007/978-3-319-56991-8_82

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56990-1

  • Online ISBN: 978-3-319-56991-8

  • eBook Packages: EngineeringEngineering (R0)

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