TV Ad Detection Using the Base64 Encoding Technique

Authors

  • . Waseemullah Department of Computer Science & Information Technology, NED University of Engineer and Technology, Pakistan
  • M. F. Hyder Department of Software Engineering, NED University of Engineering & Technology, Pakistan
  • M. A. Siddiqui Department of Software Engineering, NED University of Engineering and Technology, Karachi, Pakistan
  • M. Mukarram Department of Computer Science & Information Technology, NED University of Engineer and Technology, Pakistan
Volume: 11 | Issue: 5 | Pages: 7605-7609 | October 2021 | https://doi.org/10.48084/etasr.4337

Abstract

Automatic TV ad detection is a challenging task in computer vision. Manual ad detection is considered a tedious job. Detecting advertisements automatically saves time and human effort. In this paper, a method is proposed for detecting repeated video segments automatically, since generally, ads appear in TV transmissions frequently. At first, the user is allowed to browse the advertisements needed to be detected, and the video in which they are to be detected. The videos are then converted into a text file using the Base64 encodings. In the third step, the advertisements are detected using string comparison methods. In the end, a report, with the names of the advertisements is shown against the total time and the number of times these advertisements appeared in the stream. The implementation was carried out in python.

Keywords:

TV ads, ad detection, base64

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References

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How to Cite

[1]
. Waseemullah, M. F. Hyder, M. A. Siddiqui, and M. Mukarram, “TV Ad Detection Using the Base64 Encoding Technique”, Eng. Technol. Appl. Sci. Res., vol. 11, no. 5, pp. 7605–7609, Oct. 2021.

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