Video Template Quality Screening Using Highlight Time Ranges
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Solution Overview
Problem
Existing video template systems lack quality detection before posting, leading to inconsistent or unsatisfactory video content generation by users based on the template.
Innovation Solution
A method and apparatus for template quality verification, involving the generation of a second video with simpler material complexity, identification of highlight content time ranges, and determination of template quality using a template generation protocol to ensure accurate matching of video effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If only information check is performed on the video template before posting, then the template can be quickly published, but the template quality cannot be detected and users cannot generate video content with similar effects
Solution Approach 1:
The system performs preliminary action by generating a second video with simplified material before the template is posted. This preliminary video generation allows the system to detect template quality in advance by comparing the first video (with complex material) and the second video (with simplified material), thereby resolving the contradiction between quick publishing and quality detection.
Solution Approach 2:
The second video with simplified material acts as an intermediary element. By introducing this intermediate video, the system can isolate and detect template quality without being influenced by the complexity of the original material, enabling accurate quality measurement while maintaining efficient template publishing.
2Measurement precision
If template quality detection is added before posting, then template quality can be accurately assessed, but the publishing process becomes more complex and time-consuming
Solution Approach 1:
The system segments the video processing into two distinct parts: generating a first video with complex material for effect demonstration, and generating a second video with simplified material for quality detection. This segmentation allows quality detection to be performed without reprocessing the entire complex video, reducing overall processing complexity while maintaining detection accuracy.
Solution Approach 2:
The system creates a copy of the template applied to simplified material (the second video) rather than processing the original complex material again. This copying approach allows quality detection to be performed on a simplified version, reducing the computational complexity and time required for template processing.
3Reliability
If template quality detection is implemented, then only high-quality templates can be pushed to users, but the process requires generating additional videos and comparing time ranges
Solution Approach 1:
The system applies partial action by only processing and comparing the time ranges corresponding to highlight content rather than analyzing the entire video duration. This partial processing approach maintains reliable quality assurance by focusing on critical segments while significantly reducing the time required for template processing and verification.
Data Source
AI summary
Embodiments of the present disclosure provide a template processing method and apparatus, a device, a computer-readable storage medium, and a product. The method includes: obtaining a first video generated based on a preset template and a first material; generating a second video based on the preset template and a second material, where a material complexity of the second material is less than a material complexity of the first material; determining at least one time range corresponding to highlight content in the first video and the second video; determining template quality of the preset template based on the at least one time range and a template generation protocol corresponding to the preset template; and pushing the preset template to a target user group in response to the template quality of the preset template satisfying a preset pushing condition.