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Feature Extraction Model for Social Images

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Smart Computing and Informatics

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 77))

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Abstract

Extraction of appropriate features is a difficult task because it mainly depends on a specific application domain. In this paper, we presented a 5-layered feature extraction model for social images. This model extracts color, texture, geometric, and regional features from given image and also checks presence or absence of people in an image by face detection. Then, normalization of the feature vector is done with the help of priority element. Proposed model is able to deal with the heterogeneous nature of social images. It is useful to get good results in the field of social data analytics.

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Declaration

Personal images used in this paper are taken with due permission from the concerned person/authority.

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Authors and Affiliations

  1. National Institute of Technology Goa, Ponda, India

    Seema Wazarkar & Bettahally N. Keshavamurthy

Authors
  1. Seema Wazarkar
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  2. Bettahally N. Keshavamurthy
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Corresponding author

Correspondence to Seema Wazarkar .

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Editors and Affiliations

  1. Department of Computer Science and Engineering, PVP Siddhartha Institute of Technology, Vijayawada, Andhra Pradesh, India

    Suresh Chandra Satapathy

  2. Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  3. Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, West Bengal, India

    Swagatam Das

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Wazarkar, S., Keshavamurthy, B.N. (2018). Feature Extraction Model for Social Images. In: Satapathy, S., Bhateja, V., Das, S. (eds) Smart Computing and Informatics . Smart Innovation, Systems and Technologies, vol 77. Springer, Singapore. https://doi.org/10.1007/978-981-10-5544-7_66

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  • DOI: https://doi.org/10.1007/978-981-10-5544-7_66

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5543-0

  • Online ISBN: 978-981-10-5544-7

  • eBook Packages: EngineeringEngineering (R0)

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