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Automatic Face Recognition and Finding Occurrence of Actors in Movies

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Inventive Communication and Computational Technologies

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 145))

Abstract

In this paper, artist face recognition, and all movie prediction system is proposed. It comprises of two phases. Initially, the faces in the video are recognized using an l1-minimization CNN + HOG framework, and some keyframes are selected, based on a robust measure of confidence. Then the labels are propagated from the keyframes to the remaining frames, by using transductive learning. The constraints in both feature and temporal spaces are integrated simultaneously. The output of the algorithm is tested on Indian Movie Face—Database and generated all the movies of those actors/actresses of the film.

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Author information

Authors and Affiliations

  1. Delhi Technological University, Delhi, India

    Prashant Giridhar Shambharkar, Umesh Kumar Nimesh, Nihal Kumar & Vj Duy Du

  2. Jamia Millia Islamia, New Delhi, India

    M. N. Doja

Authors
  1. Prashant Giridhar Shambharkar
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  2. Umesh Kumar Nimesh
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  3. Nihal Kumar
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  4. Vj Duy Du
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  5. M. N. Doja
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Corresponding author

Correspondence to Umesh Kumar Nimesh .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Gnanamani College of Technology, Namakkal, Tamil Nadu, India

    G. Ranganathan

  2. Department of Electrical Engineering, Dayeh University, Changhua, Taiwan

    Joy Chen

  3. Department of Informatics Engineering, University of Coimbra, Coimbra, Portugal

    Álvaro Rocha

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Cite this paper

Shambharkar, P.G., Nimesh, U.K., Kumar, N., Du, V.D., Doja, M.N. (2021). Automatic Face Recognition and Finding Occurrence of Actors in Movies. In: Ranganathan, G., Chen, J., Rocha, Á. (eds) Inventive Communication and Computational Technologies. Lecture Notes in Networks and Systems, vol 145. Springer, Singapore. https://doi.org/10.1007/978-981-15-7345-3_10

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  • DOI: https://doi.org/10.1007/978-981-15-7345-3_10

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-7344-6

  • Online ISBN: 978-981-15-7345-3

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