Intelligent extraction and AIGC fusion creation method and system

Through the integration of intelligent extraction and AIGC creation methods and systems, combined with intelligent data extraction and AIGC creation of visual network terminal devices, the problem of insufficient combination of AIGC creation and real scene data is solved, and the effect of generating content is more in line with actual needs is achieved, and the content is personalized and user participation is improved.

CN120223955APending Publication Date: 2025-06-27CHINA UNICOM ONLINE INFORMATION TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202510287511.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-12
Publication Date
2025-06-27

AI Technical Summary

Technical Problem

In the prior art, AIGC creation lacks effective combination with real scene data in practical applications, making it difficult for generated content to meet the actual needs of specific scenarios.

Method used

A method and system for fusion creation of intelligent extraction and AIGC are proposed. Video data is obtained through the visual network terminal device, and intelligent extraction and content analysis are performed. Users determine the material set based on the analysis data. The AIGC creation layer acquires feature vectors based on the material set and generates target content corresponding to the user style.

Benefits of technology

It has achieved the deep integration of AIGC creation and real scene data, and the generated content is more in line with actual needs, improving user participation and personalization of content, and promoting the in-depth application and development of visual networking and AIGC technology in multiple fields.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses an intelligent extraction and AIGC fusion creation method and system, and belongs to the technical field of data processing, and the method comprises the steps that an articulated naturality web terminal equipment layer obtains video data; the intelligent data extraction layer performs extraction and content analysis on the video data to obtain first video analysis data; the user determines a material set based on the first video analysis data; the AIGC creation layer obtains an image feature vector and a text feature vector based on the material set; and the AIGC creation layer generates target content corresponding to the user style based on the image feature vector and the text feature vector. According to the application, AIGC creation is closely combined with real scene data, the content better meeting actual requirements is generated, meanwhile, the user participation degree and the content individuation degree are improved, and deep application and development of the articulated naturality web and AIGC technology in multiple fields are promoted.
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