Robust video zero-watermarking method based on polar complex exponential transformation and residual neural network
A neural network and complex exponential technology, applied in the field of multimedia content protection and anti-counterfeiting, can solve problems such as difficult to effectively protect video media copyright, weak desynchronization attack ability, etc.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0072] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0073] The present invention is based on extremely complex exponential transformation and residual neural network robust video zero watermarking method, refer to figure 1 , including preprocessing the video first, selecting the key frames of each group of shots; encrypting the original watermark of the video to obtain the encrypted watermark; constructing the zero watermark, and obtaining the invariant moment of the key frame by means of extremely complex exponential transformation, Send the invariant moment into the pre-trained deep residual neural network model, extract the robust content features of the key frame, binarize the robust content features and perform XOR operation with the encrypted watermark, and generate a video unique Robust zero-watermark signal; zero-watermark detection, select key frames from the video to be verified, ext...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com