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Picture copyright protection method

A technology for copyright protection, pictures

Pending Publication Date: 2022-02-18
ANHUI UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the easy duplication and modification of image products, as well as the numerous methods of image modification nowadays, a single image may be modified many times, so copyright protection has higher and higher requirements for digital watermarking technology and image recognition technology.
Although the existing robust digital watermarking algorithms are robust to specific attacks, they are not robust to all image modification methods. The perceptual hashing algorithm is a simple algorithm, but it is mainly used in search engines. Able to identify several specific image modification methods

Method used

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Embodiment Construction

[0037] In this embodiment, a picture copyright protection method is applied to a network environment formed by a block chain and n platform organizations, the block chain includes n nodes, each node is uniquely corresponding to each platform, and The node head stores the unique identifier of the platform, and deploys read-write smart contracts and search smart contracts on the blockchain; let P k Indicates the kth platform, 1≤k≤n, and the kth platform P k have n k users, let U kj Denotes the kth platform P k The jth user under , 1≤j≤n k ; The picture copyright protection method comprises the following steps:

[0038] S1. Model building and pre-training:

[0039] Existing deep convolutional neural networks all have strong recognition capabilities and can meet the needs of copyright protection. But in contrast, the deep convolutional neural network is very complex, the number of parameters is also very large, and it is concentrated in the fully connected layer, which is to...

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Abstract

The invention discloses a picture copyright protection method. The method comprises the following steps: S1, a model construction and pre-training stage; S2, a copyright registration stage; and S3, a pirate detection stage. Any platform mechanism firstly trains an image recognition model according to a to-be-registered picture uploaded by a user, generates hash according to a model parameter file after performing originality test between platforms, embeds the hash into the picture and registers the picture to a block chain; in subsequent pirate detection, the platform firstly performs integrity inspection on the model parameters submitted by the user, and then performs pirate detection on the to-be-detected picture; according to the method, cross-platform copyright protection can be achieved, fraudulent behaviors possibly existing in copyright protection are avoided, the copyright registration process is open, transparent and effective, and meanwhile malicious infringement behaviors of image modification can be avoided.

Description

technical field [0001] The invention belongs to the field of information security, in particular to a picture copyright protection method. Background technique [0002] Due to the development and popularization of Internet image production, compilation and processing technology, it is easier for ordinary people to create Internet images. Coupled with the development and application of Internet technology, copyright owners cannot control the reproduction and dissemination of their works at all. Many netizens on the Internet lack a good awareness of copyright protection and a correct view of digital consumption. The copyright of pictures cannot be fully protected, and the rights and interests of users are often harmed. Traditional copyright protection methods include adding robust digital watermarking methods and image recognition methods based on perceptual hashing algorithms. Among them, digital watermarking is widely used in the field of copyright protection due to its hig...

Claims

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Application Information

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IPC IPC(8): G06F21/16G06F21/64G06N3/04G06N3/08
CPCG06F21/16G06F21/64G06N3/08G06N3/045
Inventor 田苗苗方孝翔杨小可汪鑫毕雨涵
Owner ANHUI UNIVERSITY
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