A film and television post-production AI-assisted editing and narrative rhythm optimization method and system

CN122349045APending Publication Date: 2026-07-07CHENGDU UNIVERSITY OF TECHNOLOGY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHENGDU UNIVERSITY OF TECHNOLOGY
Filing Date
2026-06-08
Publication Date
2026-07-07

AI Technical Summary

Technical Problem

Existing technologies struggle to achieve a deep integration of the semantics and emotional tone of source material in post-production, and the lack of coordination between editing processes and rhythm optimization leads to disjointed narrative logic, inconsistent emotional delivery, and an inability to balance efficiency and creative quality.

Method used

By employing the Neural Engine intelligent computing platform for post-production film and television, and through inter-frame semantic association recognition algorithms and character shot emotion intensity evaluation models, combined with shot transition scene rationality judgment models, the narrative rhythm parameters of the editing sequence are dynamically adjusted to achieve precise integration of material features and rhythm optimization.

Benefits of technology

It enables smoother narrative logic and more coherent emotional delivery in film and television editing works, improves editing efficiency and standardization, takes into account creative quality and personalized needs, and adapts to industrialized film and television production and diversified creative scenarios.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a kind of film and television post-production AI auxiliary editing and narrative rhythm optimization method and system, it is related to film and television post-production AI auxiliary editing technical field, including: through special intelligent computing platform acquisition film and television original material frame sequence and extract relevant information, after interframe association identification, character emotional intensity evaluation and transition rationality judgment, screen transition candidate set that meets narrative logic;Load rhythm optimization parameter after candidate set sorting reorganize material, combine real-time feedback dynamic adjustment rhythm parameter.Therein, related algorithm and model are realized accurate operation by multidimensional parameter fusion, and carry out feature extraction, coding weighting, data processing, fusion operation etc. Subprocess steps, realize the depth fusion of material semantics and emotional expression by layer by layer progressive processing, reach the collaborative adaptation of editing process and rhythm optimization, the efficiency and quality of film and television post-production editing are significantly improved in the application, adapt to diversified creation and industrial production demand.
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