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Low-Level Music Feature Vectors Embedded as Watermarks

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Intelligent Tools for Building a Scientific Information Platform

Part of the book series: Studies in Computational Intelligence ((SCI,volume 467))

Abstract

In this paper a method consisting in embedding low-level music feature vectors as watermarks into a musical signal is proposed. First, a review of some recent watermarking techniques and the main goals of development of digital watermarking research are provided. Then, a short overview of parameterization employed in the area of Music Information Retrieval is given. A methodology of non-blind watermarking applied to music-content description is presented. The system architecture for the embedding and recovery of the watermarks, along with the algorithms implemented, are described. The robustness of the watermark implemented is tested against audio file processing, such as re-sampling, filtration, time warping, cropping and lossy compression. Procedures for simulating musical signal alteration are explained with a focus on the influence of lossy compression on the degradation of the embedded watermark. The advantages and disadvantages of the proposed approach are discussed. An outline of future applications of the methodology introduced is also included.

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Author information

Authors and Affiliations

  1. Multimedia Systems Department, Gdańsk University of Technology, Gdańsk, 80-233, Poland

    Janusz Cichowski, Piotr Czyżyk, Bożena Kostek & Andrzej Czyżewski

Authors
  1. Janusz Cichowski
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  2. Piotr Czyżyk
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  3. Bożena Kostek
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  4. Andrzej Czyżewski
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Corresponding author

Correspondence to Janusz Cichowski .

Editor information

Editors and Affiliations

  1. , Institute of Computer Science, Warsaw University of Technology, ul. Nowowiejska 15/19, Warszawa, 00-665, Poland

    Robert Bembenik

  2. , Institute of Computer Science, Warsaw University of Technology, ul. Nowowiejska 15/19, Warszawa, 00-665, Poland

    Lukasz Skonieczny

  3. , Institute of Computer Science, Warsaw University of Technology, ul. Nowowiejska 15/19, Warszawa, 00-665, Poland

    Henryk Rybinski

  4. , Institute of Computer Science, Warsaw University of Technology, ul. Nowowiejska 15/19, Warszawa, 00-665, Poland

    Marzena Kryszkiewicz

  5. , Interdisciplinary Centre for, University of Warsaw, Pawińskiego 5a bl. D, Warsaw, 02-106, Poland

    Marek Niezgodka

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Cichowski, J., Czyżyk, P., Kostek, B., Czyżewski, A. (2013). Low-Level Music Feature Vectors Embedded as Watermarks. In: Bembenik, R., Skonieczny, L., Rybinski, H., Kryszkiewicz, M., Niezgodka, M. (eds) Intelligent Tools for Building a Scientific Information Platform. Studies in Computational Intelligence, vol 467. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35647-6_27

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  • DOI: https://doi.org/10.1007/978-3-642-35647-6_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35646-9

  • Online ISBN: 978-3-642-35647-6

  • eBook Packages: EngineeringEngineering (R0)

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