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SMPTE Meetings and Conferences ( October 2012)
[ACTIVE]

Towards Using Audio for Matching Transcoded Content

Metadata

Publisher
SMPTE — White Plains, NY
Doc Type
Conference Paper
Content Type
Original Research
Volume
2012, No. 10, pp. 1–8
Abstract
With the advent of multiple screens for viewing media, transcoding is becoming a key component of content delivery eco-systems. But transcoding implies that copies and versions of the same content can proliferate across various storage devices. It also means keeping track of content becomes a major problem both from copyright and recording/indexing perspectives. Video-based techniques for content indexing, where the aim is to extract robust signatures from video, have emerged as a major area of research. On the other hand, audio-based techniques have received less focus but audio could provide robust signatures for indexing media while it undergoes transformations. In this paper, we present an investigation of audio signatures under typical transcoding operations. Specifically, we look at Mel-Frequency Cepstral Coefficients (MFCC) as a signature, which has been widely used in audio recognition systems. Initial results indicate that the MFCC is quite robust.
Publication Date
2012-10-01
DOI
10.5594/M001469
Link
https://doi.org/10.5594/M001469
Author(s)
Dinkar BhatMotorola Mobility, 101 Tournament Drive, Horsham, PA 19044
Keyword(s)
Audio, Transcoding
Copyright
© 2012 Society of Motion Picture and Television Engineers, Inc.

Bibliographic Reference(s)

  • 1. Ahmad I. Wei X. Sun Yu , “Video Transcoding: An Overview of Various Techniques and Research Issues” , IEEE Transactions on Multimedia , Vol. 7 , 2007 , pp. 793 – 804 . EXTERNAL
  • 2. Davis S. Mermelstein P. , “Comparison of Parametric Representations for Monosyllabic Word Recognition in Continuously Spoken Sentences” , IEEE Transactions on Acoustics, Speech, and Signal Processing , Vol. ASSP-28 , No.4 , 1980 . EXTERNAL
  • 3. Dlithium , “Multi-screen Delivery of Entertainment Video Content” , 3530-028-01, White paper, Nov. 2009 . EXTERNAL
  • 4. Foote J. , “Visualizing Music and Audio using Self-Similarity” , Proceedings of ACM Multimedia 1999, ACM Press , 1999 , pp. 77 – 80 . EXTERNAL
  • 5. Hampapur A. Hyun Ki-Ho Bolle R. , “Comparison of Sequence Matching Techniques for Video Copy Detection” , Proceedings of the IEEE International Conference on Multimedia and Expo (ICME'01), 2001 , pp. 737 – 740 . EXTERNAL
  • 6. Mitrovic D. Zeppelzauer M. Breiteneder C. , “Features for Content-based Audio Retrieval” , Advances in Computers , Vol. 78 , 2010 , pp. 71 – 150 . EXTERNAL
  • 7. Xie R. Ding G. Wang J. , “A New Fingerprint Sequences Matching Algorithm for Content-based Copy Detection” , Proceedings of the Fifth International Conference on Information Assurance and Security, 2009 . EXTERNAL
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Dinkar Bhat; Towards Using Audio for Matching Transcoded Content, SMPTE Meetings and Conferences ( October 2012); SMPTE, 2012. Available at https://doi.org/10.5594/M001469
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Dinkar Bhat; Towards Using Audio for Matching Transcoded Content, SMPTE Meetings and Conferences ( October 2012); SMPTE, 2012. Available at https://doi.org/10.5594/M001469

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Dinkar Bhat; Towards Using Audio for Matching Transcoded Content, SMPTE Meetings and Conferences ( October 2012); SMPTE, 2012. Available at https://doi.org/10.5594/M001469
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<span class="citation">Dinkar Bhat; <cite>Towards Using Audio for Matching Transcoded Content</cite>, SMPTE Meetings and Conferences ( October 2012); SMPTE, 2012. Available at <a href="https://doi.org/10.5594/M001469" target="_blank" rel="noopener">https://doi.org/10.5594/M001469</a></span>

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Preview:
Dinkar Bhat; Towards Using Audio for Matching Transcoded Content, SMPTE Meetings and Conferences ( October 2012); SMPTE, 2012
doi: 10.5594/M001469
url: https://doi.org/10.5594/M001469
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Dinkar Bhat; <cite id="bib-10-5594-m001469">Towards Using Audio for Matching Transcoded Content</cite>, SMPTE Meetings and Conferences ( October 2012); SMPTE, 2012
<span class="doi">10.5594/M001469</span>
</li>