Paper Info
Title
Video object watermarking based on moments
Abstract
A robust video object based watermarking scheme, based on Zernike and Hu moments, is proposed in this paper. Firstly, a human video object detector is applied to the initial image. Zernike and the Hu moments of each human video object are estimated and an invariant function for watermarking is incorporated. Then, the watermark is generated modifying the moment values of each human video object. In the detection scheme, a neural network classifier is initially used in order to extract possible watermarked human video objects from each received input image. Then, a watermark detection procedure is applied for video object authentication. A full experiment confirms the promising performance of the proposed scheme. Furthermore, the performances of the two types of moments are extensively investigated under several attacks, verifying the robustness of Zernike moments comparing to Hu moments.
Year
DOI
Venue
2005
10.1007/11738695_10
VLBV
Keywords
Field
DocType
possible watermarked human video,human video object detector,zernike moment,hu moment,watermarking scheme,human video object,proposed scheme,detection scheme,video object authentication,robust video
Steganography,Computer vision,Digital watermarking,Computer science,Human video,Image processing,Robustness (computer science),Watermark,Zernike polynomials,Invariant (mathematics),Artificial intelligence
Conference
Volume
ISSN
ISBN
3893
0302-9743
3-540-33578-1
Citations 
PageRank 
References 
2
0.37
7
Authors
3
Name
Order
Citations
PageRank
Paraskevi K. Tzouveli1345.15
Klimis S. Ntalianis26615.74
Stefanos Kollias32268229.16