The invention discloses a
private network content copyright monitoring and evidence obtaining
system based on AI and a
large model, which utilizes AI and
large model technologies to carry out copyright monitoring and evidence obtaining on
multimedia content in a
private network environment, and carries out deep semantic understanding and cross-
modal feature extraction through a
large model processor to generate unified
semantic representation. The method comprises the steps that a copyright content
database is established and stored in a copyright content
knowledge base, the copyright content
knowledge base is used for storing
metadata of original content protected by copyright, unified
semantic representation and copyright declarations in a
natural language form provided by a copyright party, and the copyright declarations are converted into query vectors through a semantic understanding technology; the method comprises the following steps: acquiring a
semantic representation of a
multimedia content, performing similarity calculation with the semantic representation of the
multimedia content, identifying infringement content, when the infringement content is identified, recording an original source, publishing time and publisher information of the infringement content, performing differentiation analysis, generating an evidence chain, displaying a copyright monitoring result through a
user interface, generating infringement alarm information, and presenting details of the evidence chain.