Context-Controlled Video Capture for Selective High-Quality Clips
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Solution Overview
Problem
Existing video recording systems require time-consuming post-processing to create specific video clips and adjust settings manually, leading to inefficiencies in video editing and storage, especially for high-resolution recordings, and lack of real-time clip marking and automatic quality adjustment.
Innovation Solution
A video recording system that allows real-time marking of video clips, automatic clip creation, and networked storage with event-based organization, along with automatic video quality adjustment based on context.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If video is recorded at high resolution (4K) for quality, then video quality is improved, but network bandwidth consumption increases and download time increases
Solution Approach 1:
The patent segments the main video stream into multiple time-based clips (e.g., by speaker or event segment) and allows selective downloading of only the relevant portions. This resolves the contradiction by enabling users to download high-quality video only for the segments they need, rather than the entire recording, thus reducing download time while maintaining video quality for viewed portions.
Solution Approach 2:
The system applies different quality settings to different segments of the video stream. Important segments can be maintained at high resolution while less important segments are compressed or excluded, allowing optimal video quality where needed while reducing overall bandwidth consumption and download time.
2Ease of operation
If video is segmented into multiple clips for selective viewing, then ease of viewing specific portions is improved, but device complexity increases due to post-processing requirements
Solution Approach 1:
The system performs the segmentation and clipping actions automatically during recording based on pre-defined criteria (time intervals, speaker detection, event markers). This preliminary action eliminates the need for users to perform complex post-processing editing, thereby improving ease of viewing specific portions while avoiding the complexity burden of manual video editing software requirements.
Solution Approach 2:
The video recording system automatically manages its own segmentation and organization without requiring external editing software or user intervention. The system self-services by creating time-based clips, labeling them, and making them available for selective viewing, thus improving ease of operation while reducing device complexity by eliminating dependency on separate video editing applications.
3Adaptability or versatility
If automatic video quality adjustment is implemented, then adaptability to different recording contexts is improved, but device complexity increases
Solution Approach 1:
The system incorporates feedback mechanisms that automatically detect recording context (e.g., detecting when a speaker changes, identifying event markers, monitoring time intervals) and adjusts video quality settings accordingly. This feedback-driven adaptability allows the system to automatically optimize quality for different contexts without requiring complex manual control systems, as the feedback loops handle the complexity internally.
Solution Approach 2:
The system automatically changes video recording parameters (resolution, frame rate, compression level) based on detected context. For example, using higher quality settings during important speaking segments and lower settings during transitions or non-critical periods. This parameter change approach provides adaptability to different recording contexts while managing complexity by automating the parameter adjustment based on simple contextual triggers rather than complex decision-making systems.
Data Source
AI summary
A video recording system and method for seamlessly appending one or more new, discontinuously recorded video segments to a selected previously recorded existing video file, to create a merged video file. The system provides a “continue video” control associated with each previously recorded video file, which a user can activate from an interface display where information identifying the previously recorded video file is displayed, such as its filename and/or a representative thumbnail image. The system allows a user to separately view and label the merged video stream and each segment.