AI Video Template Generation for Fast Trend-Aligned Editing
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Solution Overview
Problem
The slow generation of video editing templates due to limited designer capacity and technical skills results in a delayed response to trending topics, impacting the efficiency and effectiveness of video processing.
Innovation Solution
A video generation method utilizing a video editing template generation model based on a natural language processing model to decompose reference videos into element features, generating reference video editing template information that aligns with trending topics, enabling rapid production of target videos.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If video editing templates are created manually by designers, then the quality and creativity of templates are improved, but the generation speed and response time to trending topics deteriorate
Solution Approach 1:
The system automatically copies and replicates template structures from reference videos through AI analysis, generating multiple template variants without manual intervention. This allows rapid production of templates that mirror the quality of manually created ones while eliminating the time constraint of human designers.
Solution Approach 2:
The patent replaces the mechanical human design process with an automated AI system that uses natural language processing and video analysis algorithms. This substitution maintains template quality through intelligent analysis while dramatically increasing generation speed by eliminating manual creation bottlenecks.
2Adaptability or versatility
If more designers are hired to increase template supply, then the creativity and variety of templates are improved, but the cost and complexity of the production system deteriorate
Solution Approach 1:
The system performs self-service by automatically analyzing reference videos, extracting template patterns, and generating new templates without human intervention. This self-sufficient approach provides diverse template variety while avoiding the complexity of managing multiple designers and their workflows.
Solution Approach 2:
The AI system serves multiple functions simultaneously: it analyzes video content, identifies template structures, generates new templates, and adapts to different trending topics. This multi-functionality replaces the need for multiple specialized designers, reducing system complexity while maintaining template variety.
3Manufacturing precision
If manual video template creation is used, then the precision and control over template details are improved, but the response time to trending topics deteriorates
Solution Approach 1:
The system performs preliminary analysis of reference videos to pre-extract template patterns and structures before trending topics emerge. When a trend is detected, these pre-analyzed patterns can be rapidly deployed and adapted, maintaining precise template control while minimizing response time loss.
Solution Approach 2:
The patent introduces an AI intermediary system that sits between raw video content and final templates. This intermediary automatically performs detailed analysis and template generation, preserving manufacturing precision through intelligent algorithms while eliminating the time loss associated with manual creation processes.
Data Source
AI summary
A video generating method, an electronic device and a non-transitory computer-readable storage medium are provided. The video generating method includes: determining a reference video identifier specified by a current video editing task; determining reference video editing template information corresponding to the current video editing task based on the reference video identifier; and conducting video editing on a target multimedia material specified by the current video editing task based on the reference video editing template information, to obtain a target video.