ML Video Profile Creation Guided Recording
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Solution Overview
Problem
Existing online connection network systems face challenges in automatically generating professional video profiles that reflect users' characteristics, guiding users during video recording, and enhancing the professional look and feel of recorded videos.
Innovation Solution
A machine learning-based video profile creation system that integrates a guided video recording process, a machine learning powered script generator, and a video processing pipeline to analyze user profile information, generate scripts, detect face alignment, and replace backgrounds with professional-looking ones, using a lightweight face detector and semantic segmentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a machine learning-based video profile creation system is implemented, then professional video profiles can be automatically generated with enhanced quality, but system complexity increases
Solution Approach 1:
The system divides the video profile creation process into distinct segments: script generation module, video recording module, face detection module, background replacement module, and video processing module. Each segment handles a specific function independently, making the complex system manageable and maintainable while achieving high video profile quality through specialized processing at each stage.
Solution Approach 2:
The patent introduces intermediary components such as the face detection module that acts as a mediator between the video recording module and the background replacement module. This intermediary detects and tracks the user's face position and characteristics, providing necessary information to the background replacement module to accurately replace backgrounds while maintaining professional quality.
2Loss of time
If automated script generation and video processing are implemented, then time required for profile creation is reduced, but processing computational resources increase
Solution Approach 1:
The system performs preliminary actions by generating the video profile script before the actual video recording begins. The script generation module creates a structured script based on user profile information, which then guides the video recording process. This preliminary script generation eliminates the need for time-consuming real-time processing during recording and reduces computational burden during the actual video capture.
Solution Approach 2:
The face detection module operates autonomously during video recording, automatically detecting face position and characteristics without requiring manual intervention. The system self-adjusts and processes video frames in real-time, replacing backgrounds and generating professional profiles automatically, thereby reducing overall profile creation time while managing computational resources through efficient self-processing mechanisms.
Data Source
AI summary
Machine learning based method and system for video profile creation are described. The technical problem of permitting users to create professional quality video profile without requiring the expertise in using specialized video creation tools is addressed by a video profile creation system powered by machine learning methodologies. In one embodiment, the video profile creation system provides a guided video recording process, and also provides a video processing pipeline, where a recorded video is transformed into a professional-looking video profile.