Lens splitting adjustment demonstration system based on artificial intelligence

Through the storyboard adjustment demonstration system based on artificial intelligence, automated storyboard parameter adjustment and lens language analysis, the problems of low efficiency and insufficient intelligence in the existing technology are solved, and efficient and accurate storyboard adjustment and video quality improvement are achieved.

CN119815150AActive Publication Date: 2025-04-11NANJING FORESTRY UNIV
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Patent Information

Application Number
CN202411851711.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-16
Publication Date
2025-04-11
Estimated Expiration
2044-12-16

AI Technical Summary

Technical Problem

The existing technology relies on manual operation in storyboard adjustment, which is inefficient and difficult to meet the rapidly changing creative needs, and cannot achieve comprehensive intelligence and precision adjustment, affecting video quality.

Method used

The storyboard adjustment demonstration system based on artificial intelligence is adopted, including the storyboard input semantic analysis module, the lens analysis optimization module, the intelligent adjustment video generation module and the feedback iteration system learning module. Through automated storyboard parameter adjustment, lens language and composition analysis, user feedback learning and video generation, intelligence and accuracy are achieved.

Benefits of technology

It improves the efficiency and accuracy of storyboard adjustment, reduces manual intervention, enhances creative space and flexibility, ensures that the video quality meets expectations, and improves the intelligence level of the system through continuous learning and optimization algorithms.

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Abstract

The invention discloses a split adjustment demonstration system based on artificial intelligence, particularly relates to the technical field of video split, and comprises a split input semantic analysis module which is used for analyzing a text and a preliminary visual material input by a user and converting the text and the preliminary visual material into structured data for subsequent processing. According to the method, text description is converted into structured data and scene elements are extracted through the sub-lens input semantic analysis module, so that accurate data support is provided for follow-up lens language analysis, composition optimization and scene scheduling, and the lens analysis and optimization module identifies potential problems and provides optimization suggestions by analyzing lens languages and composition, so that the lens analysis and optimization efficiency is improved. The intelligent adjustment video generation module automatically adjusts lens splitting parameters according to optimization suggestions and generates a preliminary demonstration video, video details can be further adjusted through the interactive editing module, it is ensured that the video quality reaches the expectation, and the intelligent level of the system is improved; therefore, the flexibility, the innovativeness and the efficiency of lens splitting adjustment are improved.
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