Back-Clip Video Recording for On-the-Fly Error Editing
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Solution Overview
Problem
Existing video recording systems require complex post-editing processes to address unexpected incidents or highlights during recording, which are time-consuming and require editing skills, often necessitating professional help.
Innovation Solution
A video recording system that allows users to immediately pause recording, clip a preceding segment (back-clip) containing errors or highlights, and resume recording seamlessly, without the need for post-editing, using logical pointers to define the clip boundaries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If complex post-editing processes are used to address unexpected incidents or highlights during recording, then recording accuracy and completeness can be maintained, but time consumption increases and editing skill requirements increase
Solution Approach 1:
The system performs preliminary actions by automatically detecting and flagging segments containing unexpected incidents or highlights during the recording process itself. This allows the recording to be marked for later review without requiring immediate complex editing, thus maintaining recording accuracy while reducing post-editing time consumption.
Solution Approach 2:
The system provides self-service functionality by automatically identifying and tagging relevant segments through analysis of recording data during capture. This automated segment identification reduces the need for manual post-editing intervention, allowing the system to serve itself in maintaining recording quality without requiring extensive user skill or time investment.
2Reliability
If complex post-editing processes are used to address unexpected incidents or highlights during recording, then recording accuracy and completeness can be maintained, but editing skill requirements increase
Solution Approach 1:
The system performs automatic segment identification and tagging during recording, eliminating the need for users to manually analyze and mark segments. This self-service approach maintains recording accuracy while removing the requirement for specialized editing skills, as the system handles the complex analysis automatically.
Solution Approach 2:
The system replaces manual mechanical editing processes with automated computational analysis. By using algorithms to detect and flag segments containing incidents or highlights, the system substitutes complex manual editing operations with automated digital processing, thereby maintaining accuracy while reducing skill requirements.
3Reliability
If professional help is sought for video editing, then recording quality can be maintained, but cost and time consumption increase
Solution Approach 1:
The system enables users to perform professional-quality editing tasks themselves through automated segment identification and tagging features. This self-service capability maintains recording quality while eliminating the need to outsource to professionals, thereby reducing both time consumption and associated costs.
4Reliability
If professional help is sought for video editing, then recording quality can be maintained, but cost increases
Solution Approach 1:
The system empowers users to maintain professional recording quality through built-in automated analysis and segment tagging capabilities. This eliminates the need to hire external professionals, thereby maintaining quality standards while reducing the financial cost associated with professional editing services.
Data Source
AI summary
A mobile app based digital media recording system with a back-clip feature for creating and manipulating back-clip segments from already recorded portions of a digital audio and/or video recording in progress. The feature allows a user to remove the back-clip segments on the fly and/or to create a reel, which may be a blooper or highlight reel, of the segments created during the main recording.