Video parsing and audio pairing
The system addresses the inefficiency of manual audio and text pairing with video by using a model trained on image and text representations to generate recommendations, enhancing content creation efficiency and accuracy across multimedia platforms.
Patent Information
- Application Number
- PCT/IB2024/056529
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2023-07-03
- Filing Date
- 2024-07-04
- Publication Date
- 2025-01-09
AI Technical Summary
The process of pairing audio segments and text with video clips and frames is time-consuming and labor-intensive, requiring significant effort and opportunity costs for content creators, with existing methods relying on manual or machine-learning-based tag generation that is not easily integrated into video production processes.
A system that uses a model trained on image and text representations to generate recommended audio segments and text, allowing for automated pairing by embedding video components in a vector space and employing machine learning algorithms to match these representations with database audio segments, thereby reducing the time and effort required for content creation.
This solution enables quicker and more accurate pairing of video with audio and text, allowing creators to focus on other tasks while improving the efficiency and accuracy of content generation across various multimedia platforms.