Toward Using Audio for Matching Transcoded Content

Metadata

Publisher: SMPTE — White Plains, NY, USA
Doc Type: Journal Article
Content Type: Original Research
Abbreviated Title: SMPTE Mot. Imag. J
Volume: 123, No. 1, pp. 14–19
Abstract: With the advent of multiple screens for viewing media, transcoding is becoming a key component of content delivery ecosystems. But transcoding implies that copies and versions of the same content can proliferate across various storage devices. It also means that keeping track of content becomes a major problem from both 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. This paper presents an investigation of audio signatures under typical transcoding operations. Specifically, mel-frequency cepstral coefficients (MFCCs) are examined as a signature, which has been widely used in audio recognition systems. Initial results indicate that MFCCs are quite robust.
Publication Date: 2014-01-01
DOI: 10.5594/j18367XY
ISSN: Print: 1545-0279
Link: https://doi.org/10.5594/j18367XY
Author(s): Dinkar Bhat
bio
Dinkar Bhat is a principal systems engineer at Arris Inc., (formerly Motorola Home) in Horsham PA, where he works on advanced features for digital cable set-top boxes with emphasis on audio processing, transcoding, and closed captioning. Bhat received a B.Tech. in electrical engineering from the Indian Institute of Technology at Madras (now Chennai), an M.S. in computer science from the University of Iowa, Iowa City, and a Ph.D. in computer science from Columbia University, New York. In the past, he worked as manager/principal engineer at Triveni Digital, an LG Electronics Company focusing in the area of stream monitoring and data broadcasting. He has published in leading journals such as the Proceedings of the IEEE and IEEE Transactions on Pattern Analysis and Machine Intelligence. He has also presented at SMPTE and National Association of Broadcasters (NAB) conferences. Bhat currently holds five patents in the area of digital television.
Copyright: © 2014 Society of Motion Picture and Television Engineers, Inc.

Bibliographic Reference(s)

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4. Mitrovic D. , Zeppelzauer M. , and Breiteneder C. , “Features for Content-Based Audio Retrieval,” Adv. Comput. , 78 : 71 – 150 , 2010 . EXTERNAL
5. Davis S. and Mermelstein P. , “Comparison of Parametric Representations for Monosyllabic Word Recognition in Continuously Spoken Sentences,” IEEE Trans. Acoustics, Speech, Signal Process. , vol. ASSP-28 , no. 4 , 1980 . EXTERNAL
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<span class="citation">Dinkar Bhat; <cite>Toward Using Audio for Matching Transcoded Content</cite>, SMPTE Motion Imaging Journal ( Volume: 123, Issue: 1, 2014); SMPTE, 2014. Available at <a href="https://doi.org/10.5594/j18367XY" target="_blank" rel="noopener">https://doi.org/10.5594/j18367XY</a></span>

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Dinkar Bhat; Toward Using Audio for Matching Transcoded Content, SMPTE Motion Imaging Journal ( Volume: 123, Issue: 1, 2014); SMPTE, 2014
doi: 10.5594/j18367XY
url: https://doi.org/10.5594/j18367XY

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Dinkar Bhat; <cite id="bib-10-5594-j18367xy">Toward Using Audio for Matching Transcoded Content</cite>, SMPTE Motion Imaging Journal ( Volume: 123, Issue: 1, 2014); SMPTE, 2014
<span class="doi">10.5594/j18367XY</span>
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