Script-Based Live Video Effects Using Audio-Script Alignment
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Solution Overview
Problem
Traditional video editing tools are complex, expensive, and require expert knowledge, limiting their accessibility and efficiency for users, especially in live video editing scenarios.
Innovation Solution
A script authoring interface allows users to apply visualizations and video effects to a script, with a data structure tracking script locations and a script location prediction model to display effects in real-time during live presentations, eliminating the need for frame-by-frame editing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional video editing tools are used to apply visualizations and video effects, then the quality and variety of video effects can be improved, but the device complexity and ease of operation deteriorate due to complex interfaces and expert knowledge requirements
Solution Approach 1:
The patent replaces manual frame-by-frame editing operations with an automated system that uses audio transcript analysis and machine learning models to automatically determine video effect timing and application. The system substitutes complex mechanical editing processes with intelligent automation that analyzes speech content and automatically applies appropriate visualizations and effects at the correct moments without requiring expert manual intervention
Solution Approach 2:
The system enables users to create professional-quality video content with effects and visualizations through simple operations. By allowing users to input basic information such as audio transcripts or recorded speech, the system automatically performs the complex task of analyzing the content, determining appropriate effects, and applying them - making the tool serve itself rather than requiring expert operation
2Manufacturing precision
If traditional frame-by-frame editing methods are used, then precise control over video effects timing can be achieved, but the productivity and ease of operation deteriorate due to time-consuming manual processes
Solution Approach 1:
The patent replaces manual frame-by-frame editing with an automated system that uses audio transcript analysis and machine learning to automatically determine precise timing for video effects. The system analyzes the audio content, identifies key moments and speech patterns, and automatically applies effects at the correct timing without requiring manual frame-by-frame adjustment, thereby maintaining precision while dramatically improving productivity
Solution Approach 2:
The system performs preliminary analysis of the audio transcript or recorded speech before applying video effects. By pre-processing the audio content to identify speech patterns, key moments, and appropriate effect timing, the system prepares all necessary information in advance, allowing effects to be applied automatically at the correct moments without time-consuming manual adjustment during the editing process
3Reliability
If expert knowledge is required to use video editing tools, then the quality of video production can be improved, but the ease of operation and accessibility deteriorate
Solution Approach 1:
The system enables users to create professional-quality video content with effects and visualizations through simple operations. By allowing users to input basic information such as audio transcripts or recorded speech, the system automatically performs the complex task of analyzing the content, determining appropriate effects, and applying them - making the tool serve itself rather than requiring expert operation
Solution Approach 2:
The patent replaces manual frame-by-frame editing operations with an automated system that uses audio transcript analysis and machine learning models to automatically determine video effect timing and application. The system substitutes complex mechanical editing processes with intelligent automation that analyzes speech content and automatically applies appropriate visualizations and effects at the correct moments without requiring expert manual intervention
Data Source
AI summary
In various examples, a video effect is displayed in a live video stream in response to determining a portion of an audio stream of the live video stream that corresponds to a text segment of a script associated with the video effect. For example, during presentation of the script, the audio stream is obtained to determine if a portion of the audio stream corresponds to the text segment.


