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Various Face Annotation Techniques: Survey

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Intelligent Communication Technologies and Virtual Mobile Networks (ICICV 2019)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 33))

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Abstract

Basic idea behind the Face Annotation is to detect the facial expression and process further on it for various applications. Techniques of face annotation are used to give an appropriate name to the face image. In this research work, first the face notations are saved in the database and it can be retrieved any time for further processing and then it compares two different images of a same person and finds out whether those images belongs to the same person only. In this paper we described various techniques of face annotation such as Content based, Retrieval based, Search Based, Cluster Based and Caption Based face annotation. Based on the study we present the parametric evaluation of existing techniques.

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Author information

Authors and Affiliations

  1. Computer Engineering Department, Sarvajanik College of Engineering and Technology, Surat, India

    Bhavini N. Tandel & Urmi Desai

Authors
  1. Bhavini N. Tandel
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  2. Urmi Desai
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Corresponding author

Correspondence to Urmi Desai .

Editor information

Editors and Affiliations

  1. Department of CSE, Francis Xavier Engineering College, Tirunelveli, Tamil Nadu, India

    S. Balaji

  2. Departamento de Engenharia Informática, Faculdade de Ciências e Tecnologia, University of Coimbra, Coimbra, Portugal

    Álvaro Rocha

  3. Department of Electrical Engineering, National Changhua University of Education, Changhua County, Taiwan

    Yi-Nan Chung

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Tandel, B.N., Desai, U. (2020). Various Face Annotation Techniques: Survey. In: Balaji, S., Rocha, Á., Chung, YN. (eds) Intelligent Communication Technologies and Virtual Mobile Networks. ICICV 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 33. Springer, Cham. https://doi.org/10.1007/978-3-030-28364-3_9

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  • DOI: https://doi.org/10.1007/978-3-030-28364-3_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-28363-6

  • Online ISBN: 978-3-030-28364-3

  • eBook Packages: EngineeringEngineering (R0)

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