Template-Based Video Synthesis with Scenario Matching and Beat Sync
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Solution Overview
Problem
Conventional video generation methods require manual editing, leading to low automation and flexibility, and often result in synchronization issues between background music and video segments or fixed video lengths.
Innovation Solution
A video synthesis method that automatically synthesizes videos by analyzing user-provided materials and templates, adjusting durations and segments based on scenario matching and beat detection, allowing for flexible video generation without manual editing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual editing operations (splicing, filtering, special effect adding) are performed by the user, then the video can be customized according to user needs, but the automation degree is low and the editing process is time-consuming
Solution Approach 1:
The system automatically performs video synthesis operations including splicing, filtering, and special effect adding based on user-selected templates and materials, eliminating the need for manual editing while maintaining high customization flexibility through template parameters
Solution Approach 2:
The system changes video synthesis parameters (duration, effects, transitions) automatically based on template configurations and user selections, allowing flexible video customization without manual intervention in the editing process
2Productivity
If a customized template is selected for quick video generation, then the video can be generated quickly with minimal user input, but the template is fixed and inflexible, causing synchronization issues between background music and video segments
Solution Approach 1:
The system dynamically adjusts template parameters including video segment durations and transitions based on the selected background music's tempo and structure, ensuring synchronization between music and video while maintaining quick generation speeds
Solution Approach 2:
The system automatically changes template parameters (segment durations, transition timings) based on music analysis results, allowing the fixed template structure to adapt to different music selections without requiring manual reconfiguration
3Extent of automation
If background analysis is used to automatically select materials and match templates, then the video generation is automated, but the generated video has a fixed length and lacks flexibility
Solution Approach 1:
The system automatically adjusts video synthesis parameters including total video duration, segment lengths, and material selection based on user-specified duration requirements, maintaining automation while providing flexible video length control
Data Source
AI summary
A video synthesis method includes obtaining materials, video synthesis policy selection information, a video template, and configuration information of the video template, where the video template includes at least one segment, and the configuration information includes scenario matching information of each segment, performing scenario analysis on the materials specified by a user to obtain scenario characteristic information, determining a video synthesis policy based on the video synthesis policy selection information, if the video synthesis policy is a fixed-length synthesis policy, performing scenario matching on each material and each segment based on the scenario characteristic information of each of the materials and the scenario matching information of each segment in the video template, selecting content obtained through scenario matching in each material, and filling the content in a corresponding segment in the video template to synthesize a video.