As the state of remote sensing technology improves, the acquisition of three-dimensional images and video will become more common in several different applications. However, the problem of protecting and authenticating three-dimensional data – in particular, three-dimensional video data – has been largely unexplored. An application of the singular value decomposition (SVD) and two-dimensional principal component analysis (2DPCA) to video data with an arbitrary number of channels for the purpose of watermarking is presented.
It will be shown that it is possible to select parameters that preserve the visual quality of the video while effectively embedding the watermark in both the spatial and temporal domains. However, much processing time is required to embed and extract the watermark. Furthermore, it is unclear how robust the presented technique is to attack.