Name
Abstract | ||
|---|---|---|
Spread Transform (ST) is a quantization watermarking al- gorithm in which vectors of the wavelet coefficients of a host work are quantized, using one of two dithered quan- tizers, to embed hidden information bits; Loo (1) had some success in applying such a scheme to still images. We ex- tend ST to the video watermarking problem. Visibility con- siderations require that each spreading vector refer to corre- sponding pixels in each of several frames, that is, a multi- frame embedding approach. Use of the hierarchical com- plex wavelet transform (CWT) for a visual mask reduces computation and improves robustness to jitter and valumet- ric scaling. We present a method of recovering temporal synchronization at the detector, and give initial results demon- strating the robustness and capacity of the scheme. Development. been devloped and tested on still image sources. Here we bring the ST approach to video, so as to develop a robust watermarking technology that can reliably achieve higher capacity than the current state of the art. We embed in very coarse scale subbands in the CWT domain, to reduce computation, incorporate limited contrast masking, and im- prove robustness to compression. The structure of the ST embedder implies adopting a novel multi-frame watermark- ing scheme in which the watermark cannot be detected from a single frame alone, but only from a series of frames. We describe methods of recovering the temporal synchroniza- tion of such a watermark at the detector using the properties of an error-correcting code (we use turbocodes). Finally, we present initial results demonstrating the robustness of this technique to MPEG-2 compression. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/ICIP.2003.1246724 | Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference |
Keywords | Field | DocType |
jitter,synchronisation,video coding,watermarking,wavelet transforms,complex wavelet transform,hidden information bits,jitter,quantization watermarking algorithm,spread transform,still images,synchronisation,valumetric scaling,video watermarking problem,wavelet coefficients | Computer vision,Lifting scheme,Computer science,Second-generation wavelet transform,Discrete wavelet transform,Artificial intelligence,Stationary wavelet transform,Complex wavelet transform,Wavelet packet decomposition,Wavelet,Wavelet transform | Conference |
Volume | ISSN | ISBN |
2 | 1522-4880 | 0-7803-7750-8 |
Citations | PageRank | References |
6 | 0.81 | 1 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| John Earl | 1 | 6 | 0.81 |
| Nick G. Kingsbury | 2 | 6 | 0.81 |