1. Study on semantic-based video watermarking method
- Author
-
Ming Tong, Kezhen Qin, and Xuhai Wang
- Subjects
Computer science ,business.industry ,Data_MISCELLANEOUS ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Watermark ,Luminance ,Visual masking ,Region of interest ,Discrete cosine transform ,Computer vision ,Video denoising ,Artificial intelligence ,Electrical and Electronic Engineering ,business ,Digital watermarking ,Coding (social sciences) - Abstract
A new video watermarking method for the Audio Video coding Standard (AVS) is proposed. According to human visual masking properties, this method determines the region of interest for watermark embedding by analyzing video semantics, and generates dynamic robust watermark according to video motion semantics, and embeds watermarks in the Intermediate Frequency (IF) Discrete Cosine Transform (DCT) coefficients of the luminance sub-block prediction residual in the region of interest. This method controls watermark embedding strength adaptively by video textures semantics. Experiments show that this method is robust not only to various conventional attacks, but also to re-frame, frame cropping, frame deletion and other video-specific attacks.
- Published
- 2010