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>