Sync-Point Video Template Generation From Audio-Visual Identification
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Solution Overview
Problem
Current video applications lack the ability to automatically identify and utilize sync point video templates for user-generated content that already possess a sync point rhythm, limiting the creation and interaction effects of such videos.
Innovation Solution
An information publishing method that identifies media content with a preset effect based on audio and image information, presents a preset template effect control, and generates media content using a target template in a media content generation interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual creation of sync point videos is required, then users can achieve desired sync point effects, but the creation process becomes complex and time-consuming
Solution Approach 1:
The system performs preliminary identification of sync points in uploaded videos automatically, and pre-generates matching templates based on audio rhythm and visual content analysis. This preliminary action eliminates the need for users to manually create sync point videos from scratch, directly resolving the contradiction between ease of operation and time consumption.
Solution Approach 2:
The system enables videos to serve themselves by automatically identifying their own sync points and generating appropriate templates without user intervention. The video content itself provides the basis for template generation through automatic audio-visual analysis, making the creation process self-service oriented and highly efficient.
2Adaptability or versatility
If sync point video templates are manually created and uploaded, then template diversity can be achieved, but the process lacks automation and user engagement
Solution Approach 1:
The system automatically adjusts multiple parameters including audio rhythm characteristics, visual content features, transition effects, and timing parameters to generate diverse templates. By dynamically changing these parameters based on the uploaded video's specific characteristics, the system achieves both template diversity and full automation, resolving the contradiction between adaptability and automation extent.
Solution Approach 2:
The template generation process is entirely dynamic, adapting to each uploaded video's unique audio-visual characteristics. The system dynamically identifies sync points, selects appropriate effects, and generates customized templates in real-time, achieving both high automation and template diversity tailored to each video's specific parameters and content.
3Productivity
If automatic identification of sync points is implemented, then video creation efficiency improves, but identification accuracy may be compromised
Solution Approach 1:
The system implements feedback mechanisms where identification results are continuously refined based on matching quality metrics and user interactions. The automatic identification process uses feedback from audio-visual synchronization analysis to adjust and improve accuracy, maintaining high precision while achieving full automation and efficiency in video creation.
Solution Approach 2:
The system replaces manual mechanical review of sync points with automated audio-visual analysis algorithms. These algorithms use signal processing and pattern recognition to identify sync points with high accuracy, substituting human manual processes with automated mechanical systems that maintain precision while dramatically improving creation efficiency.
Data Source
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AI summary
Embodiments of the present disclosure provide an information publishing method, an identification method, an electronic device, and a medium. The method comprises: displaying target media content on a display interface; in response to determining that the target media content is the identified media content having a preset effect, displaying a preset template effect control on the display interface, the preset effect being obtained on the basis of identification of audio information and/or image information of the target media content; in response to the preset template effect control on the display interface being triggered, displaying a media content generation interface, the media content generation interface comprising a target template determined on the basis of the preset effect; and in response to a media content generation operation on the media content generation interface, generating media content on the basis of the target template.