Re: [WM]: Content-based for watermark in audio.

[aweke.lemma@philips.com]

Dear Khoa Luu,

There have been interesting publications in this direction (see below). 
The one described in [1] uses fingerprinting technique to embed content dependent watermark. The method of [3] uses audio
classification
(segmentation) technique described in [2] to embed variable payload within a given content. You can further read the referenced
papers to get deeper insights.

Regards,

Aweke.

[1] Michiel van der Veen, Aweke Lemma and Ton Kalker "Watermarking and Fingerprinting for Electronic Music Delivery" Proce. SPIE
2004 conference (Electronic Imaging 2004, Security and Watermarking of Multimedia Content VI, San Jose, USA, 2004) [2] Nanunu
Maddage, Changsheng Xu, Mohan Kankanhalli, Xi Shao, "Content-based Music Structure Analysis with Application to Music Semantics
Understanding". Proceedings of ACM conference, 10-16 October 2004, NY USA, pp 112-119 [3] Changsheng Xu, Yongwei Zhu and David Dagan
Feng, "Digital Audio watermarking Based on Multiple-Bit Hopping and Human Auditory System" 
Proceedings of ACM conference 2001, Ottawa, Canada, pp 568-571
------------------------------------
Dr. Aweke N. Lemma
Philips Research
Information & System Security

Prof. Holstlaan 4 (WY7.03)
5656 AA Eindhoven
The Netherlands

Tel. +31 40 2745554
Fax. +31 40 2746622
------------------------------------









Khoa Luu <luukhoavn@yahoo.com>
Sent by: 
watermarking-owner@watermarkingworld.org
15-01-2005 03:06
 
        To:     <watermarking@watermarkingworld.org>
        cc:     (bcc: Aweke Lemma/EHV/RESEARCH/PHILIPS)
        Subject:        [WM]: Content-based for watermark in audio.
        Classification: 





Hi,
 I've a question. I want to watermark in audio base on its content, and i read lots of papers for these articles. However there're
no practice. I know that any method must have a PsychoAcoutic Model. Would you tell me how many way to construct it and what a good
method in practice.
  I really need it. Please tell me as soon as possible.
  Thank alots.



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