Object recognition by computer: the role of geometric constraints
Object recognition by computer: the role of geometric constraints
Journal of VLSI Signal Processing Systems - Special issue on multimedia signal processing
The first 50 years of electronic watermarking
EURASIP Journal on Applied Signal Processing - Emerging applications of multimedia data hiding
A Hybrid Watermarking Scheme for H.264/AVC Video
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Overview of the H.264/AVC video coding standard
IEEE Transactions on Circuits and Systems for Video Technology
Temporal feature modulation for video watermarking
IEEE Transactions on Circuits and Systems for Video Technology
Video watermarking by using geometric warping without visible artifacts
IH'06 Proceedings of the 8th international conference on Information hiding
A video watermarking algorithm for MPEG videos
Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in India
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In this paper, we present a new video watermarking approach which is robust to efficient video coding standards such as H.264/AVC.We show the contradiction between embedding watermarks in the irrelevant part of a video and using a lossy compression algorithm to reduce the video data rate. Because the compression algorithm removes irrelevant information, the watermark can not be recovered. To solve this problem, we propose the embedding of the watermark in the relevant part of the video but in an imperceptible manner. We realize this by changing the spatial position of object borders. We propose our new Normed Centre of Gravity (NCG) to describe these borders. Of course, lossy compression influences the NCG. We present a method to predict the strength of this influence. Hence, we can embed the watermark with a defined robustness to lossy compression. The watermarking is embedded by quantizing the NCG. We present a geometric warping process to quantize the NCG and embed the watermark payload with a defined robustness. To demonstrate the robustness we use the new and at present most efficient available compression standard H.264/AVC.