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Feature Extraction Model for Social Images

  • Seema WazarkarEmail author
  • Bettahally N. Keshavamurthy
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 77)

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.

Keywords

Feature extraction Social images Social data analytics 

Notes

Declaration

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

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.National Institute of Technology GoaPondaIndia

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