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An Integrated Schema for Efficient Face Recognition in Social Networking Platforms

  • Ramesh Shahabadkar
  • S. Sai Satyanarayana Reddy
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 763)

Abstract

The conceptual background of face recognition (FR) evolved witnessing various contributions in the past two decades which has been extended towards a wide area of applications including commercial and law enforcement security solutions both. However, it has become a foundation of several breakthroughs on various research aspects associated with cloud computing (CC) driven big data analytics and machine learning platforms. The extended research track in this specific domain claimed to transform the conventional view of solving the problems associated with analytics based FR in social media platforms. The study also aimed to explore various scope of integrating conventional social media (SM) based big data analytics (BD) technology on FR considering an approach of machine learning (ML). Thereby it has formulated a novel framework well capable of face detection considering a machine learning approach on a cloud operated SN platforms. The study formulated analytical approach namely computationally efficient face recognition (CE-FR) schema for face tagging on big data driven SN platforms. The effectiveness of the study further evaluated to validate the performance of the proposed FR system.

Keywords

Cloud computing Machine learning Social networks Face recognition 

References

  1. 1.
    Ramanathan, N., Chellappa, R., R-Chowdhury, A.K.: Facial similarity across age, disguise, illumination and pose. In: International Conference Image Processing, ICIP 2004, vol. 3, pp. 1999–2002 (2004)Google Scholar
  2. 2.
    Keywebmetrcs article: How Big Data drives facial recognition. http://www.keywebmetrics.com/2013/08/big-data-drives-social-graph/. Accessed 28 Jan 2015
  3. 3.
    Animetrics article: Cloud face recognition services. http://animetrics.com/cloud-face-recognition-services/. Accessed Jan 2015
  4. 4.
    Computervisiontalks.com article: Image processing and cloud computing architecture overview. http://computer-vision-talks.com/articles/2011-04-13-image-processing-cloud-computing-architecture-overview/. Accessed Jan 2015
  5. 5.
    Metalife article: Face time. http://metalifestream.com/wordpress/?p=6498. Accessed 28 Jan 2015
  6. 6.
    Smartdatacollective.com article: Is Facebook taking Big Data analytics too far?. http://smartdatacollective.com/bernardmarr/121876/facebook-taking-big-data-analytics-too-far. Accessed 30 Jan 2015
  7. 7.
    Chen, M., Mao, S., Zhang, Y., Leung, V.C.M.: Big Data analysis. In: Big Data, pp. 51–58. Springer, Heidelberg (2014)CrossRefGoogle Scholar
  8. 8.
    Thoughtworks.com article: New beginnings in facial recognition. http://www.thoughtworks.com/insights/blog/new-beginnings-facial-recognition. Accessed 28 Jan 2015
  9. 9.
    Indrawan, P., Budiyatno, S., Ridho, N.M., Sari, R.F.: Face recognition for social media with mobile cloud computing. Int. J. Cloud Comput. Serv. Archit. 3(1), 23–35 (2013)Google Scholar
  10. 10.
    Bishop, C.M.: Pattern Recognition and Machine Learning, vol. 4, no. 4. Springer, New York (2006)Google Scholar
  11. 11.
    Sun, Y., Chen, Y., Wang, X., Tang, X.: Deep learning face representation by joint identification-verification. In: Advances in Neural Information Processing Systems, pp. 1988–1996 (2014)Google Scholar
  12. 12.
    Bhatt, G.B., Shah, Z.H.: Face feature extraction techniques: a survey. National Conference on Recent Trends in Engineering & Technology, 13–14 May 2011Google Scholar
  13. 13.
    Peer, P., Bule, J., Gros, J., Štruc, V.: Building cloud-based biometric services. Informatica Int. J. Comput. Inf. 37(1), 115–122 (2013)Google Scholar
  14. 14.
    Chi, H., Chi, L., Fang, M., Wu, J.: Facial expression recognition based on cloud model. In: International Archives on the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. 38, Part II. Accessed 18 Dec 2017Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  • Ramesh Shahabadkar
    • 1
  • S. Sai Satyanarayana Reddy
    • 1
  1. 1.Vardhaman College of EngineeringHyderabadIndia

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