Script-Based Live Video Animation System
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Solution Overview
Problem
Existing video editing tools are complex, expensive, and inadequate for live performances, as they struggle to adapt animations to real-time gestures and speech, leading to increased preparation costs and reduced visual quality.
Innovation Solution
A system that provides a script authoring interface allowing users to generate scripts with gesture-based animations and video effects, which are applied during live performances using a presentation interface that tracks the user's gestures and speech in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If traditional video editing tools are used for live performances, then video editing functionality is provided, but the system complexity and preparation costs increase significantly
Solution Approach 1:
The patent extracts and isolates only the essential video editing functions needed for live performances, separating them from the complex full-featured video editing tools. This allows the system to provide sufficient functionality while reducing overall system complexity and preparation costs by eliminating unnecessary features.
Solution Approach 2:
The system integrates multiple functions including gesture recognition, script synchronization, and video effect application into a single unified platform. This multi-functionality reduces the need for separate tools and decreases overall system complexity while maintaining comprehensive video editing capabilities for live performances.
2Productivity
If traditional frame-by-frame video editing is used, then precise animation control is achieved, but the preparation time and productivity are reduced
Solution Approach 1:
The system allows users to pre-configure video effects, animations, and gesture mappings during script authoring before the live performance. This preliminary setup eliminates the need for time-consuming frame-by-frame editing during the actual performance, significantly improving preparation efficiency while maintaining animation precision through pre-planned configurations.
Solution Approach 2:
The system transitions from static frame-by-frame animation control to dynamic gesture-based control that adapts in real-time during live performances. Animations are triggered and controlled by user gestures captured during the performance, allowing flexible adjustment without sacrificing precision while dramatically improving productivity.
3Reliability
If gesture-based animations are added to enhance visual quality, then the presentation becomes more engaging, but the system complexity increases
Solution Approach 1:
The system introduces a gesture recognition module as an intermediary between the user and the video effects system. This mediator captures gestures, interprets them, and translates them into appropriate animation triggers, enhancing visual quality while managing system complexity through a dedicated intermediate layer that handles the complexity of gesture-to-animation mapping.
Solution Approach 2:
The system segments the video effects application into distinct modules: gesture capture, gesture interpretation, animation triggering, and effect application. This segmentation allows each component to be optimized independently, improving visual quality through specialized processing while reducing overall system complexity through modular architecture.
4Adaptability or versatility
If real-time gesture tracking is implemented to adapt animations, then the animation adaptability improves, but the computational resources and system complexity increase
Solution Approach 1:
The system implements partial gesture tracking by monitoring only the essential gesture parameters needed for animation triggering rather than comprehensive full-body tracking. This approach provides sufficient animation adaptability for presentation purposes while significantly reducing computational resource consumption by focusing on critical gesture data only.
Solution Approach 2:
The gesture recognition system is optimized to process and interpret gestures autonomously during live performances without requiring extensive post-processing or additional computational resources. The system self-adjusts animation parameters in real-time based on captured gestures, improving adaptability while minimizing energy consumption through efficient self-contained processing.
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 corresponds to a text segment of a script associated with the video effect and detecting performance of a gesture. 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. In response to the portion of the audio stream corresponding to the text segment, detecting performance of a gestures and causing the video effect to be displayed.