Video Copyright Detection Using High Level Objects in Video Clip

  • Abdul Rasheed Baloch Department of Computer Science. Sukkur Institute of Business Administration University Sukkur, Pakistan
  • Ubaidullah alias Kashif Department of Computer Science. Sukkur Institute of Business Administration University Sukkur, Pakistan
  • Kashif Gul Chachar Department of Computer Science. Iqra University Karachi, Pakistan
  • Maqsood Ali Solangi Department of Computer Science. Sukkur Institute of Business Administration University Sukkur, Pakistan

Abstract

Latest advancements in online video databases have caused a huge violation of copyright material misuse. Usually a video clip having a proper copyright is available in online video databases like YouTube without permission of the owner. It remains available until the owner takes a notice and requests to the website manager to remove copyright material. The problem with this approach is that usually the copyright material is downloaded and watched illegally during the period of upload and subsequent removal on request of the owner. This study aims at presenting an automatic content based system to detect any copyright violation in online video clips. In this technique, a video clip is needed from original video that is used to query from online video to find out shot similarity based on high level objects like shapes.

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Author Biographies

Abdul Rasheed Baloch, Department of Computer Science. Sukkur Institute of Business Administration University Sukkur, Pakistan

 

 

 

Ubaidullah alias Kashif, Department of Computer Science. Sukkur Institute of Business Administration University Sukkur, Pakistan

 

 

Kashif Gul Chachar, Department of Computer Science. Iqra University Karachi, Pakistan

 

 

 

Maqsood Ali Solangi, Department of Computer Science. Sukkur Institute of Business Administration University Sukkur, Pakistan

 

 

 

Published
2017-12-31
How to Cite
BALOCH, Abdul Rasheed et al. Video Copyright Detection Using High Level Objects in Video Clip. Sukkur IBA Journal of Computing and Mathematical Sciences, [S.l.], v. 1, n. 2, p. 95-101, dec. 2017. ISSN 2522-3003. Available at: <http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/33>. Date accessed: 27 apr. 2018. doi: https://doi.org/10.30537/sjcms.v1i2.33.
Section
Research Articles