Video tomography: an efficient method for camerawork extraction and motion analysis
MULTIMEDIA '94 Proceedings of the second ACM international conference on Multimedia
Two-Dimensional PCA: A New Approach to Appearance-Based Face Representation and Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution scene-based video watermarking using perceptual models
IEEE Journal on Selected Areas in Communications
Novel blind multiple watermarking technique for images
IEEE Transactions on Circuits and Systems for Video Technology
A self-adaptive image normalization and quaternion PCA based color image watermarking algorithm
Expert Systems with Applications: An International Journal
A new video watermarking algorithm based on shot segmentation and block classification
Multimedia Tools and Applications
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Temporal synchronization is a problem that cannot be ignored in most video watermarking application. In this paper, a video watermarking scheme is proposed to resist temporal desynchronization by using shot segmentation and two-dimensional principal component analysis (2DPCA). In this scheme, the to-be-watermarked video is first segmented into different shots. And each shot is analyzed by 2DPCA in xt tomography to get its principal feature frames (PFFs). And then the watermark is embedded into the PFFs. This scheme is robust to temporal desynchronization through a content dependent way. Simulations show the feasibility and reliability of this scheme. It is also robust to most of the common video processing/attacks, such as MPEG2 compression, filtering, frame resizing, noising, etc.