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Key-Lectures: Keyframes Extraction in Video Lectures

  • Krishan Kumar
  • Deepti D. Shrimankar
  • Navjot Singh
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 748)

Abstract

In this multimedia era, the education system is going to adopt the video technologies, i.e., video lectures, e-class room, virtual classroom, etc. In order to manage the content of the audiovisual lectures, we require a huge storage space and more time to access. Such content may not be accessed in real time. In this work, we propose a novel key frame extraction technique to summarize the video lectures so that a reader can get the critical information in real time. The qualitative, as well as quantitative measurement, is done for comparing the performances of our proposed model and state-of-the-art models. Experimental results on two benchmark datasets with various duration of videos indicate that our key-lecture technique outperforms the existing previous models with the best F-measure and Recall.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Krishan Kumar
    • 1
    • 2
  • Deepti D. Shrimankar
    • 2
  • Navjot Singh
    • 1
  1. 1.National Institute of Technology UttarakhandSrinagar (Garhwal)India
  2. 2.VNITNagpurIndia

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