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Advanced Computing and Intelligent Engineering pp 333–342Cite as

Video Summarization Based on Optical Flow

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1082))

Abstract

The explosive growth in digital videos demands a technique that effectively identifies informative parts from the video. Video summarization refers to creating a video summary as a collection of keyframes that depicts key actions and events in the video. The authors propose to generate a video summary based on apparent motion information in the video, that is, optical flow. The proposed algorithm uses optical flow technique to estimate the change in the local flow of pixel intensities to identify the keyframes. The proposed algorithm is tested on two standard databases, such as Open Video Project and YouTube database. The results and the quantitative evaluation validate the effectiveness of the proposed algorithm for generation of a video summary.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering/Information Technology, RAIT, Nerul, Navi Mumbai, Maharashtra, India

    Dipti Jadhav

  2. Department of Electronics and Telecommunication, RGIT, Versova, Mumbai, Maharashtra, India

    Udhav Bhosle

Authors
  1. Dipti Jadhav
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  2. Udhav Bhosle
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Corresponding author

Correspondence to Dipti Jadhav .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Rama Devi Women’s University, Bhubaneswar, Odisha, India

    Bibudhendu Pati

  2. Department of Computer Science, Rama Devi Women’s University, Bhubaneswar, Odisha, India

    Chhabi Rani Panigrahi

  3. Cloud Computing, The University of Melbourne, Melbourne, VIC, Australia

    Rajkumar Buyya

  4. Department of Computer Science and Information Engineering, Providence University, Taichung, Taiwan

    Kuan-Ching Li

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Cite this paper

Jadhav, D., Bhosle, U. (2020). Video Summarization Based on Optical Flow. In: Pati, B., Panigrahi, C., Buyya, R., Li, KC. (eds) Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 1082. Springer, Singapore. https://doi.org/10.1007/978-981-15-1081-6_28

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  • DOI: https://doi.org/10.1007/978-981-15-1081-6_28

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-1080-9

  • Online ISBN: 978-981-15-1081-6

  • eBook Packages: EngineeringEngineering (R0)

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