AI Music Content Synchronization for Real-Time Promo Video Generation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing technologies face challenges in creating customized content items that integrate synchronized video, audio, and text, particularly for promotional purposes, as they often require manual effort and lack efficient automation.
Innovation Solution
A system utilizing artificial intelligence and machine learning models to extract audio and text features from a song file, allowing real-time generation of customized content items based on pre-built templates, with dynamic and static feature sets for synchronized video, audio, and text.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual creation methods are used for promotional videos and content items, then customization and quality can be maintained, but time consumption and labor effort increase significantly
Solution Approach 1:
The system enables self-service content generation by automatically analyzing song files, extracting audio and text features, and generating synchronized video content without requiring manual intervention. The artificial intelligence engine performs feature extraction and content assembly autonomously, transforming the creation process from a manual service into an automated self-service system that dramatically reduces time consumption while maintaining customization capabilities
Solution Approach 2:
The patent replaces the mechanical manual creation process with an artificial intelligence-based automated system. The AI engine substitutes human operators by automatically extracting features from song files, selecting appropriate templates, and generating synchronized content. This substitution of mechanical human labor with intelligent automation resolves the contradiction by maintaining quality output while eliminating time-consuming manual operations
2Productivity
If automated systems are used for content generation, then productivity increases, but the quality and customization of content may deteriorate
Solution Approach 1:
The system implements feedback mechanisms where the AI engine continuously analyzes extracted audio and text features, adjusts template selections, and refines content generation parameters. This feedback loop ensures that automated content generation maintains high synchronization quality by constantly monitoring and adjusting based on the specific characteristics of the input song file, thereby resolving the contradiction between automation and quality
Solution Approach 2:
The patent utilizes parameter changes by dynamically adjusting generation parameters based on extracted features from the song file. The AI engine modifies template parameters, synchronization timing, and content assembly parameters according to the specific audio and text characteristics detected. This dynamic parameter adjustment allows the automated system to maintain manufacturing precision and content quality while achieving high productivity across different input materials
Data Source
AI summary
In one embodiment, a computer-implemented method includes receiving a song file. The method includes extracting, using an artificial intelligence engine comprising one or more trained machine learning models, one or more audio features from the song file, and extracting, using the artificial intelligence engine comprising the one or more trained machine learning models, one or more text features from the song file. The method includes receiving a selection of a pre-built template to use to generate a customized content item, and generating, in real-time or near real-time, the customized content item based on the one or more audio features, the one or more text features, and the selection. The customized content item may be presented via a media player on a user interface.