| Session: | 1.2.2 - Information Embedding I |
| Session Time: | Monday, July 10, 11:20 - 12:40 |
| Paper Time: | Monday, July 10, 11:20 - 11:40 |
| Title: |
Optimal Watermark Embedding and Detection Strategies Under Limited Detection Resources |
| Authors: |
Erez Sabbag; Technion - Israel Institute of Technology | | |
| | Neri Merhav; Technion - Israel Institute of Technology | | |
| Abstract: |
An information-theoretic approach is proposed to the watermark embedding and detection under limited detector resources. First, asymptotically optimal decision regions are presented in the Neyman-Pearson sense. These results are also modified to the case of zero-mean i.i.d. Gaussian covertext distribution with unknown variance. For this case, a lower bound is offered on the exponential decay rate of the false-negative probability and it is proven that the optimal embedding and detecting strategy is superior to the customary linear, additive embedding strategy in the exponential sense. |
