Expandable Video Loops With AI Lip Sync and Replacement Audio
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Solution Overview
Problem
Producing short-form videos is time-consuming and expensive, and recreating scenes for follow-up content can be cost-prohibitive, necessitating a method to efficiently modify and extend existing video loops with replacement audio.
Innovation Solution
A computer-implemented method involving machine learning to identify a minimum desired video loop, extract and manipulate video information, combine it with synthesized audio, and create expandable video loops with seamless transitions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional video production methods are used to create follow-up content, then content quality can be maintained, but production time and costs increase significantly
Solution Approach 1:
The patent uses deep learning models to create digital copies of the original performer's appearance, voice, and mannerisms. These copies can be reused across multiple video segments without requiring the actual performer to recreate scenes, thereby maintaining content quality while dramatically reducing production time and costs.
Solution Approach 2:
The system performs preliminary actions by capturing and analyzing the performer's data (appearance, voice, speech patterns) once during the original video recording. This preliminary data collection enables subsequent video generations to proceed without requiring the performer's physical presence, eliminating the need to recreate scenes for follow-up content.
2Productivity
If the original performer is rebooked for follow-up content, then consistency can be maintained, but costs become prohibitive
Solution Approach 1:
The patent segments the video content into distinct components: the performer's appearance, voice, speech patterns, and the actual video footage. This segmentation allows independent manipulation of each element, enabling flexible modification of video content without requiring the original performer's involvement and reducing associated costs.
Solution Approach 2:
By creating digital copies of the performer's characteristics from the original recording, the system achieves both consistency (through accurate replication) and adaptability (through independent editing of copied elements). This eliminates the need to rebook performers while maintaining brand consistency across multiple video segments.
3Duration of action of moving object
If video loops are extended with additional content, then viewer engagement increases, but production complexity increases
Solution Approach 1:
The system performs self-service by automatically generating additional video content through AI-driven synthesis. The deep learning models autonomously create consistent follow-up segments without requiring manual intervention for each new video segment, thereby extending video loop duration while managing production complexity through automation.
Solution Approach 2:
The patent creates a universal system that can generate multiple types of video content (different topics, durations, and styles) using the same core technology stack. This multi-functional approach allows the system to handle various video production needs with a single platform, reducing overall complexity despite extending video durations.
Data Source
AI summary
Techniques for manipulating an expandable video loop with replacement audio are provided. A video that includes a performance by an individual is accessed. One or more processors are used to identify a minimum desired loop within the performance by the individual. Video information is extracted from the video loop and analyzed with machine learning. An audio file is obtained based on a script written by a user. The script is combined with a synthesized voice which is created from the individual video performance to obtain the audio file. The extracted video information is used to manipulate the lips of the individual based on the audio file. A second video loop is created, combining the individual from the first video loop with the video of the manipulated lips of the individual and the synthesized audio file. The second video loop is appended to the end of the first video loop.