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Performance Study of Some Recent Optimization Techniques for Energy Minimization in Surveillance Video Synopsis Framework

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Information, Photonics and Communication

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 79))

Abstract

In the age of the smart city, each activity is under surveillance. The employment of plentiful surveillance video cameras produces the gigantic amount of redundant video data. For ease of investigations, video synopsis competently shrinks the length with the preservation of all activities presents in the original video. The outcome of the video synopsis technology greatly depends on the central module, the optimization framework, and its minimization. This paper evaluates the performance of various optimization techniques, namely simulated annealing (SA), NSGA II, cultural algorithm (CA), teaching–learning-based optimization (TLBO), gray wolf optimizer (GWO), forest optimization algorithm (FOA), JAYA algorithm, elitist-JAYA algorithm, self-adaptive multi-population-based JAYA algorithm (SAMP-JAYA), to minimize the energy in the field of object-based surveillance video synopsis. The experimental results and analysis direct the need for an optimization algorithm which can efficiently and consistently solve the minimization problem in connection to video synopsis.

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Authors and Affiliations

  1. Image and Video Processing Laboratory, Department of Computer Science and Engineering, International Institute of Information Technology, Bhubaneswar, 751003, India

    Subhankar Ghatak & Suvendu Rup

Authors
  1. Subhankar Ghatak
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  2. Suvendu Rup
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Corresponding author

Correspondence to Subhankar Ghatak .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Kalyani, Kalyani, West Bengal, India

    Jyotsna Kumar Mandal

  2. University of Calcutta, Kolkata, West Bengal, India

    Kallol Bhattacharya

  3. B.P. Poddar Institute of Management and Technology, Kolkata, West Bengal, India

    Ivy Majumdar

  4. B.P. Poddar Institute of Management and Technology, Kolkata, West Bengal, India

    Surajit Mandal

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Ghatak, S., Rup, S. (2020). Performance Study of Some Recent Optimization Techniques for Energy Minimization in Surveillance Video Synopsis Framework. In: Mandal, J., Bhattacharya, K., Majumdar, I., Mandal, S. (eds) Information, Photonics and Communication. Lecture Notes in Networks and Systems, vol 79. Springer, Singapore. https://doi.org/10.1007/978-981-32-9453-0_23

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  • DOI: https://doi.org/10.1007/978-981-32-9453-0_23

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-32-9452-3

  • Online ISBN: 978-981-32-9453-0

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