UMID Watermarking for Managing Metadata in Content Production
Metadata
- Publisher
- SMPTE — White Plains, NY
- Doc Type
- Conference Paper
- Content Type
- Original Research
- Volume
- 2001, No. 35, pp. 1–9
- Abstract
- Watermarking is a technique for embedding data within images or audio and is best known in the field of copyright protection. This paper explains how watermarking can be used to embed a unique material identifier (UMID) into every frame of video material to enable content tracking throughout the production chain. As the UMID is embedded into the image itself, it cannot be separated and hence lost. The UMID is embedded at the point of acquisition and enables the linking of the video material to its associated metadata for rights tracking, technical information, or added-value data services in digital broadcasting. In order to allow a change of UMID, the watermark may be removed, or “washed”, and a new UMID embedded with no significant generation loss.
- Publication Date
- 2001-11-01
- DOI
10.5594/M00989- Link
- https://doi.org/10.5594/M00989
- Author(s)
- Jason PellySony Broadcasting & Professional Europe Basingstoke, Hampshire, U.K.Daniel TapsonSony Broadcasting & Professional Europe Basingstoke, Hampshire, U.K.John StoneSony Broadcasting & Professional Europe Basingstoke, Hampshire, U.K.Stephen KeatingSony Broadcasting & Professional Europe Basingstoke, Hampshire, U.K.
- Copyright
- © 2001 Society of Motion Picture and Television Engineers, Inc.
Bibliographic Reference(s)
- 1. SMPTE 330M-2000 “Unique Material Identifier (UMID)” . EXTERNAL
- 2. Wicker S. B. , “Error control systems for digital communication and storage” , Prentice-Hall Inc. New Jersey , 1995 . EXTERNAL
- 3. Cox I. J. , “A secure, imperceptible yet perceptually salient, spread spectrum watermarking for multimedia” , IEEE Southcon/96 Conference Record , pp. 192 – 197 , 1996 . EXTERNAL
- 4. Cox I. J. , “Secure spread spectrum watermarking for images, audio and video” , IEEE Image Processing, Proceedings , Vol. 3 , pp. 243 – 246 , 1996 . EXTERNAL
- 5. Ruanaidh J. J. K. Ó. , “A Bayesian approach to spread spectrum watermark detection and secure copyright protection for digital image libraries” , IEEE Computer Vision and Pattern Recognition , Vol. 1 , pp. 207 – 212 , 1999 . EXTERNAL
- 6. Calderbank A. R. , “Wavelet transforms that map integers to integers” , Applied and Computational Harmonic Analysis , Vol. 5 , No. 3 , pp. 337 – 369 , 1996 . EXTERNAL
- 7. Sweldens W. , “The lifting scheme: construction of second generation wavelets” , SIAM J. Math. Anal. Vol. 29 , No. 2 , pp. 511 – 546 , 1997 . EXTERNAL
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Jason Pelly, Daniel Tapson, John Stone, and Stephen Keating; UMID Watermarking for Managing Metadata in Content Production, SMPTE Meetings and Conferences ( November 2001); SMPTE, 2001. Available at https://doi.org/10.5594/M00989
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Jason Pelly, Daniel Tapson, John Stone, and Stephen Keating; UMID Watermarking for Managing Metadata in Content Production, SMPTE Meetings and Conferences ( November 2001); SMPTE, 2001. Available at https://doi.org/10.5594/M00989
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Jason Pelly, Daniel Tapson, John Stone, and Stephen Keating; UMID Watermarking for Managing Metadata in Content Production, SMPTE Meetings and Conferences ( November 2001); SMPTE, 2001. Available at https://doi.org/10.5594/M00989
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<span class="citation">Jason Pelly, Daniel Tapson, John Stone, and Stephen Keating; <cite>UMID Watermarking for Managing Metadata in Content Production</cite>, SMPTE Meetings and Conferences ( November 2001); SMPTE, 2001. Available at <a href="https://doi.org/10.5594/M00989" target="_blank" rel="noopener">https://doi.org/10.5594/M00989</a></span>
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Jason Pelly, Daniel Tapson, John Stone, and Stephen Keating; UMID Watermarking for Managing Metadata in Content Production, SMPTE Meetings and Conferences ( November 2001); SMPTE, 2001
doi: 10.5594/M00989
url: https://doi.org/10.5594/M00989
doi: 10.5594/M00989
url: https://doi.org/10.5594/M00989
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<li> Jason Pelly, Daniel Tapson, John Stone, and Stephen Keating; <cite id="bib-10-5594-m00989">UMID Watermarking for Managing Metadata in Content Production</cite>, SMPTE Meetings and Conferences ( November 2001); SMPTE, 2001 <span class="doi">10.5594/M00989</span> </li>