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  Published Paper Details:

  Paper Title

DETECTION OF ADVERTISEMENT VIDEO SHOTS AMONG NORMAL SHOTS USING MFCC FEATURES OF AUDIO

  Authors

  Soumya Majumdar,  K. Sreenivasa Rao

  Keywords

Advertisement detection, Mel frequency ceptral coefficient, Static Threshold, Dynamic Threshold.

  Abstract


Scene boundary detection is crucial in applications like scene segmentation and video skimming, but the presence of ad clips makes it difficult. There are some existing methods based on visual, audio-visual and audio-only features. The existing audio-only feature-based method depends on short silences between program and ad or between ads. Still, short silences can also be present inside the program, affecting performance. So we proposed a detection method for ad shots using MFCC features. MFCC is a basic speech feature based on short-term spectral. We used the average of MFCC for a shot and determined the threshold for detection purposes. We used four episodes of The Big Bang Theory as our dataset. Our method is the first method that uses MFCC features for ad detection and explores the relation between video contents and MFCC features.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2207360

  Paper ID - 223367

  Page Number(s) - c753-c758

  Pubished in - Volume 10 | Issue 7 | July 2022

  DOI (Digital Object Identifier) -    http://doi.one/10.1729/Journal.30977

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Soumya Majumdar,  K. Sreenivasa Rao,   "DETECTION OF ADVERTISEMENT VIDEO SHOTS AMONG NORMAL SHOTS USING MFCC FEATURES OF AUDIO", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 7, pp.c753-c758, July 2022, Available at :http://www.ijcrt.org/papers/IJCRT2207360.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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