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Intelligent Data analysis and its Applications, Volume II pp 499–507Cite as

Segmentation and Description of Human Facial Features Region

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 298))

Abstract

Although there are many search engines based on the text content, that do not meet our extensive search for multimedia content, interests and effectiveness requirements.MPEG-7 is an important criterion for the multimedia content descriptions, so it has a great application value for us to have an in-depth study. Combined with the face recognition algorithm of face regions, feature relationships describing face images content in this paper, according to the study of MPEG-7 standard construction of face related structure models.

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Author information

Authors and Affiliations

  1. Electronic Engineering College, Heilongjiang University, Harbin, Heilongjiang, China

    Yingli Wang, Yao Wang & Song Li

Authors
  1. Yingli Wang
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  2. Yao Wang
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  3. Song Li
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Corresponding author

Correspondence to Yingli Wang .

Editor information

Editors and Affiliations

  1. University of Applied Sciences, Kaohsiung, Taiwan

    Jeng-Shyang Pan

  2. Department of Computer Science Faculty of Elec. Eng. & Comp. Sci., VSB-Technical University of Ostrava, Ostrava, Czech Republic

    Vaclav Snasel

  3. Departamento de Informáca y Automática Facultad de Biología, University of Salamanca, Salamanca, Spain

    Emilio S. Corchado

  4. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, Washington, USA

    Ajith Abraham

  5. Department of Information Management, National University of Kaohsiung, Kaohsiung, Taiwan

    Shyue-Liang Wang

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© 2014 Springer International Publishing Switzerland

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Cite this paper

Wang, Y., Wang, Y., Li, S. (2014). Segmentation and Description of Human Facial Features Region. In: Pan, JS., Snasel, V., Corchado, E., Abraham, A., Wang, SL. (eds) Intelligent Data analysis and its Applications, Volume II. Advances in Intelligent Systems and Computing, vol 298. Springer, Cham. https://doi.org/10.1007/978-3-319-07773-4_49

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  • DOI: https://doi.org/10.1007/978-3-319-07773-4_49

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07772-7

  • Online ISBN: 978-3-319-07773-4

  • eBook Packages: EngineeringEngineering (R0)

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