Implementation of Methodology for Video Summarization

Authors

  • Trupti Deshbhakar  BE Student, Department of Computer Science of Engineering, Priyadarshini J.L College of Engineering, Nagpur, Maharashtra, India
  • Simran Meshram  BE Student, Department of Computer Science of Engineering, Priyadarshini J.L College of Engineering, Nagpur, Maharashtra, India
  • Nisha Wakodikar  BE Student, Department of Computer Science of Engineering, Priyadarshini J.L College of Engineering, Nagpur, Maharashtra, India
  • Pranali Wanjari  BE Student, Department of Computer Science of Engineering, Priyadarshini J.L College of Engineering, Nagpur, Maharashtra, India
  • Prof. A. P. Mohod  Assistant Professor, Department of Computer Science of Engineering, Priyadarshini J.L College of Engineering, Nagpur, Maharashtra, India

Keywords:

static video summarization, dynamic video summarization, key frame, video skim, Static video summarization; video skimming; convolutional neural networks

Abstract

Modern era, a massive amount of multimedia data is analysed, browsed, and retrieved, slowing down delivery and increasing computation costs. Video summarization is an aspect of building video and browsing that has been increased to process all video information in the shortest amount of time. This method allows users to browse large amounts of data quickly. It is the method of separating key frames and video skims to create a summarized or abstract view of an entire video in the shortest amount of time while also removing duplication or redundant features. Paper focus on different ways to achieve a sample video: static and dynamic, which are divided into two categories. With both the rapid advancement of digital video technology, it is now possible to upload large videos from Youtube or other websites, as well as record massive amounts of data such as news, sports, lecture, and surveillance videos, among other things. Video storage, transfer, and processing take a significant amount of time. The user may not have enough time to watch the video prior to actually downloading it, or the user requires a quick and precise video search result. In these kind of cases, the video's highlight or summary speeds up search and indexing operations, and the user can view the video's focus or summary before downloading it.

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International Journal of Scientific Research in Science and Technology

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Published

2021-06-30

Issue

Volume 8, Issue 3, May-June-2021

Section

Research Articles

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How to Cite

[1]
Trupti Deshbhakar, Simran Meshram, Nisha Wakodikar, Pranali Wanjari, Prof. A. P. Mohod "Implementation of Methodology for Video Summarization" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 8, Issue 3, pp.388-395, May-June-2021.