Video Recording Assistant Error Correction
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Solution Overview
Problem
Consumer-recorded video content on mobile smart devices often suffers from user errors such as lens obstruction, shaky footage, improper orientation, and audio issues, leading to poor quality recordings and user frustration despite advanced hardware and software features.
Innovation Solution
A video recording assistant method that analyzes inputs like video frames, audio frames, and sensor data to detect user errors, providing feedback through graphical icons and audio messages, and automatically editing out errors by marking specific frames, with the option to switch camera modes and pause recordings for correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If smart devices are enabled with many hardware and software video recording features, then video recording capability is improved, but user errors still occur leading to poor quality recordings
Solution Approach 1:
The patent implements real-time feedback mechanisms that monitor recording parameters and provide corrective guidance to users. The system analyzes accelerometer data, gyro data, and audio levels during recording, then provides feedback through the interface to guide users on proper device handling, orientation, and recording techniques, thereby improving recording quality despite limited user expertise
Solution Approach 2:
The system performs self-diagnosis and self-correction by automatically detecting user errors through sensor analysis and autonomously providing corrective instructions. The feedback mechanism serves itself by continuously monitoring and guiding without requiring external intervention, enabling users to improve their recording skills through integrated guidance
2Reliability
If users manually monitor and correct recording parameters, then recording quality can be maintained, but user frustration increases due to the complexity of proper recording techniques
Solution Approach 1:
The system provides automated feedback that simplifies operation by telling users what to do rather than requiring them to know complex recording techniques. The feedback interface translates complex sensor data into simple, actionable guidance, making proper recording techniques accessible to average users without increasing operational complexity
Solution Approach 2:
The feedback system acts as an intermediary between complex recording parameters and the user. It translates accelerometer data, gyro data, and audio level information into simple visual or auditory guidance, bridging the gap between technical complexity and user capability
3Reliability
If real-time analysis of video and audio inputs is performed to detect user errors, then recording quality improves, but device processing load and energy consumption increase
Solution Approach 1:
The system performs partial analysis by focusing on specific, critical parameters (accelerometer data, gyro data, audio levels) rather than analyzing all possible recording parameters in full detail. This selective analysis approach maintains recording quality improvement while reducing overall processing load and energy consumption compared to comprehensive analysis
Data Source
AI summary
A method for a video recording and editing application analyses the audio and video during the process of video recording using a smart device such as a smartphone or tablet. The method provides feedback to the user during the video recording to improve user performance and reduce video and audio user errors. The method includes the option of automatic skipping or editing of video segments that suffer from user errors during playback.