Learning long-term temporal dependencies with recurrent neural networks can be a difficult problem. It has recently been shown that a class of recurrent neural networks called NA...
The widespread deployment of sensor networks is on the horizon. One of the main challenges in sensor networks is to process and aggregate data in the network rather than wasting e...
Digital watermarks have been embedded invisibly in digital media to protect copy rights of legal owners. The embedded watermarks can be extracted to indicate ownership originals. ...
Digital watermarking is a technique for embedding information into data, such as images, 3D models, or audio files, such that some properties (i. e., security, imperceptibility, ...
Henry Sonnet, Tobias Isenberg, Jana Dittmann, Thom...
In this paper, the concept of object-oriented embedding (OOE) is introduced into information hiding in general and particularly to steganography which is the science that involves...
Abbas Cheddad, Joan Condell, Kevin Curran, Paul Mc...