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Digital watermark system based on copyright protection of Internet of things

A technology of the Internet of Things and watermarking, which is applied in biological neural network models, program/content distribution protection, image data processing, etc., and can solve problems such as poor robustness against attacks and inaccurate positioning of tampering

Inactive Publication Date: 2015-05-20
SHANGHAI XINYOU NETWORK TECH
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  • Summary
  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

[0003] This watermarking system adopts a double watermarking algorithm to solve the problems of poor robustness against attacks and inaccurate location of tampering of traditional watermarking

Method used

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  • Digital watermark system based on copyright protection of Internet of things
  • Digital watermark system based on copyright protection of Internet of things
  • Digital watermark system based on copyright protection of Internet of things

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Experimental program
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Embodiment Construction

[0006] 1.1 RBF neural network

[0007] Radial Basis Function (RBF) neural network was proposed by J.Moody and C.Darken in the late 1980s. The radial basis function neural network consists of three layers, namely the input layer, the radial base layer, and the output layer. Radial Basis Neural Network is a typical feed-forward neural network. It has the advantages of fast training speed, the ability to converge to the global optimum, and the ability to approximate any continuous function with any precision, and has high application value.

[0008] 1.2 Watermark Quantization

[0009] 1.2.1 Quantification object

[0010] The classic quantization algorithm takes the coefficients in the time domain or frequency domain to quantize directly, and the signal-to-noise ratio is low. In this paper, the difference between the sum of the wavelet parity coefficients is selected as the quantization object. It is assumed that the wavelet coefficients are Y={y(i); 0≤i≤l}.

[0011] (1) Find ...

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Abstract

The invention provides a digital watermark system based on copyright protection of the Internet of things. Through the system, product copyright can be directly authenticated on the Internet of things. A dual-watermark algorithm is adopted, and the problems that a traditional watermark is poor in attack resistance and robustness and interpolation cannot be accurately positioned are solved. An audio zero-watermark scheme based on an AOC-BP neural network is adopted for the dual-watermark algorithm, and an audio zero-watermark serves as a copyright authentication watermark. Because original audio data are not changed according to the watermark scheme, good transparency is achieved. A semi-fragile watermark is embedded through a new bipolar quantitative method, the content of audio works can be authenticated, two-dimensional image blocks in the process do not need to be converted into one-dimensional sequences, the method is different from an image dimension change and one-time embedment method in an existing algorithm, and the sensibility of the fragile watermark is improved. An experimental result shows that the authentication watermark in the scheme is high in attack resistance and robustness, the fragile watermark is high in sensibility, and malicious interpolation can be accurately positioned. An attached map shows a basic frame diagram of the digital watermark system.

Description

technical field [0001] Information management field; computer software field; physical network field: anti-counterfeiting watermark: Background technique [0002] Information management technology; computer software and computer hardware technology; network technology; anti-counterfeiting watermark technology; market analysis technology; Contents of the invention [0003] This watermarking system uses a double watermarking algorithm to solve the problems of poor robustness against attack and inaccurate positioning of tampering of traditional watermarking. The double watermark algorithm adopts an audio zero watermark scheme based on AOC-BP neural network as the copyright authentication watermark, because the watermark scheme does not change the original audio data, so it has good transparency; a new bipolar quantization method is used to embed Semi-fragile watermarking can be used for content authentication of audio works. The two-dimensional image blocks in this process d...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F21/16G06T1/00G06N3/02
Inventor 李鹏范皎琰张思佳
Owner SHANGHAI XINYOU NETWORK TECH