LLM Video Script Generation for Objective Storyboard Scenes

Solution Overview

Problem

Existing video production methods require users to manually design video storyboards, leading to high costs and low quality due to subjective user input.

Innovation Solution

A video script generation method using a pre-trained large language model to generate scene description texts based on user input data, guiding users in creating video storyboards.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of manufacture

If users manually design video storyboards, then users can have creative control over video content, but the cost increases and quality decreases due to subjective input

Engineering Contradiction:

Improvevideo production costVSAvoidscene description quality

Core Design Contradiction:

Ease of manufactureVSManufacturing precision

Solution Approach 1:

The system enables self-service by allowing the video production system to automatically generate scene descriptions and storyboards without requiring manual user input. The large language model processes video requirements autonomously to produce detailed scene descriptions, reducing both cost and subjectivity while maintaining quality.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The manual mechanical process of users designing storyboards is replaced by an automated intelligent system. The large language model substitutes the manual creative process with algorithmic generation, eliminating the trade-off between manual control and production efficiency.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If users manually create video storyboards, then users can customize video content according to their preferences, but the productivity decreases due to time-consuming manual input

Engineering Contradiction:

Improvevideo production efficiencyVSAvoidtime for storyboard creation

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system performs preliminary action by pre-generating scene descriptions and storyboards automatically before video production begins. The large language model prepares detailed visual descriptions in advance based on video requirements, eliminating the need for time-consuming manual storyboard creation during production.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system enables self-service by allowing the video production system to automatically generate scene descriptions and storyboards without requiring manual user input. The large language model processes video requirements autonomously to produce detailed scene descriptions, reducing both cost and subjectivity while maintaining quality.

Inventive Principle:

Principle #25Self-service

3Measurement precision

If users provide subjective input for video storyboards, then users can express creative vision, but the measurement precision of scene requirements decreases

Engineering Contradiction:

Improvescene description accuracyVSAvoiduser input simplicity

Core Design Contradiction:

Measurement precisionVSEase of operation

Solution Approach 1:

The manual mechanical process of users designing storyboards is replaced by an automated intelligent system. The large language model substitutes the manual creative process with algorithmic generation, eliminating the trade-off between manual control and production efficiency.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service by allowing the video production system to automatically generate scene descriptions and storyboards without requiring manual user input. The large language model processes video requirements autonomously to produce detailed scene descriptions, reducing both cost and subjectivity while maintaining quality.

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS20260064988A1Video script generation method and apparatus, electronic device, and storage medium

Publication Date: 2026.03.05 BEIJING ZITIAO NETWORK TECH CO LTD

AI summary

Embodiments of the present disclosure provide a video script generation method and apparatus, an electronic device, and a storage medium. User input data is acquired and the user input data includes a video requirement parameter, and the video requirement parameter at least represents a video content feature of a video to be generated. A pre-trained large language model processes the user input data to generate first script data, and the first script data includes at least two scene description texts for the video to be generated, and the scene description texts are used to describe image content under a video storyboard in a target video.