Video Segmentation Techniques for Instructional Videos –Survey

  • Jyoti Parsola Departement of Computer Application, Graphic Era (Deemed to be University), Dehradun, Uttarakhand, India
  • Durgaprasad Gangodkar Departement of Computer Science and Engineering, Graphic Era (Deemed to be University), Dehradun, Uttarakhand, India
  • Ankush Mittal Departement of Computer Science and Engineering, Graphic Era (Deemed to be University), Dehradun, Uttarakhand, India
Keywords: Video Segmentation, E-Learning Applications

Abstract

Low cost smart phones and easy internet access have caused an increase in viewership of e-learning video. Usually the memory size of mobile phones is less therefore, it becomes extremely important to reduce size of these instructional videos. Video segmentation is the fundamental task of reducing size of e-learning videos. This paper gives an overview of existing techniques used for video segmentation of e-learning videos. Most of the methods used so far for segmenting instructional video are broadly categorized into i) feature extraction based segmentation ii) motion based segmentation.The performance, comparative merits and limitations of each approach is thoroughly examined and contradicted. The analysis is beneficial for appropriate use of existing methods and for enhancing their performance or forming new methods on the basis of existing methods by combining one or two methods together.

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Published
2019-09-20
Section
Articles