Real-Time watermarking system for audio signals using perceptual * 4:15PM, Wed April 23, 2003 in Gates B03

[Dave Farber <dave () farber net>]

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From: allison () stanford edu

              COMPUTER SYSTEMS LABORATORY COLLOQUIUM
                4:15PM, Wednesday, April 23, 2003
       NEC Auditorium, Gates Computer Science Building B03
                   http://ee380.stanford.edu[1]
                   
Topic:    Real-Time watermarking system for audio signals using perceptual
          masking

Speaker:  Michael Lustig
          Stanford University

About the talk:

This work was the winner of Texas Instruments’ “DSP and Analog
Challenge” worldwide competition, receiving a prize of 100,000$

Recent development in the field of digital media raises the issue
of copyright protection. Digital watermarking offers a solution
to copyright violation problems. The watermark is a signature,
embedded within the data of the original signal, which in
addition to being inaudible to the human ear, should also be
statistically undetectable, and resistant to any attempts to
remove it. In addition, the watermark should be able to resolve
multiple ownership claims (known as the deadlock problem), which
is achieved by using the original signal (i.e., the unsigned
signal) in the signature detection process.

In order to meet the above demands, a frequency-masking scheme
using a psycho-acoustic model is used to ensure a maximal, yet
inaudible, additive signature. This scheme was implemented on the
Texas Instruments TMS320C5410 DSP, and achieves real-time
capabilities.

The talk will have two parts. In the first part Michael will talk
about digital audio watermarking, the real-time DSP
implementation and the system design considerations. There will
be a limited yet enjoying demo. The second part is about wining
the DSP Challenge, he will try to share some of the moments from
the competition. And finally, some tips on what can be done with
a 100,000$.

This is a joint work with Yuval Cassuto and Shay Mizrachy. The
project was done in the Signal & Image processing lab, Technion
IIT

About the speaker:

Michael is a EE graduate student at Stanford University. Prior to
his studies Michael worked for Gigami(Net2Wireless) trying to
compress images over a cellular channel, then doing research in
tracking algorithms and computer vision for Prof. Ron Kimmel in
the CS department, Technion IIT. Michael holds a Bsc. In
Electrical Engineering from the Technion IIT.

Contact information:

Michael Lustig
(650)497-9218
mlustig () stanford edu<\a>

[2]
Embedded Links:
[ 1 ]    http://ee380.stanford.edu
[ 2 ]    mailto:mlustig () stanford edu


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