Video Clip Labeling From Main Streams for Fast Network Sharing
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Solution Overview
Problem
Existing video recording systems require time-consuming post-processing to extract specific segments from a main video, which is inefficient for users interested in only a portion of the recording, especially over network bandwidth limitations.
Innovation Solution
A video recording system that allows real-time marking of slices from a main video stream, enabling networked sharing and labeling with event associations, using a user-friendly interface and voice commands for easy access and organization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If video editing software is used to slice the main video into smaller clips, then specific segments can be extracted for sharing, but the process becomes time-consuming and requires additional technical software
Solution Approach 1:
The system performs preliminary actions by automatically detecting and marking segment boundaries during or immediately after the main video recording, so that when users want to extract specific clips, the slicing work has already been prepared in advance. This eliminates the need for time-consuming post-processing with video editing software.
Solution Approach 2:
The system serves itself by automatically analyzing the main video stream to identify natural breaks and segment boundaries without requiring external video editing software. The segmentation functionality is integrated into the recording system itself, making the process self-sufficient and eliminating dependency on additional technical tools.
2Loss of information
If the entire main video is downloaded for network sharing, then complete content is available, but network bandwidth consumption increases and download time extends
Solution Approach 1:
The system divides the main video into multiple smaller segments based on detected boundaries, allowing users to download and share only the specific portions they need rather than the entire video. This segmentation enables selective content distribution, reducing network bandwidth consumption while maintaining content completeness for those who need full videos.
Solution Approach 2:
Different parts of the video are treated differently by creating segments with specific characteristics (such as event-based or time-based divisions). This allows the system to optimize each segment for its intended purpose, enabling efficient bandwidth usage by transmitting only relevant portions to different users based on their specific needs.
3Manufacturing precision
If manual slicing of video is performed to create event-specific clips, then precise segmentation is achieved, but the process requires technical expertise and additional software
Solution Approach 1:
The system automatically performs the complex task of identifying and marking segment boundaries by analyzing the video content itself, eliminating the need for users to manually slice videos with technical expertise. The system serves itself by detecting natural breaks and creating precise segments without human intervention in the slicing process.
Solution Approach 2:
The manual mechanical process of video slicing with editing software is replaced by an automated electronic system that uses algorithms to detect and mark segment boundaries. This substitution of automated electronic processing for manual mechanical editing maintains high segmentation accuracy while dramatically simplifying user operation.
Data Source
AI summary
A video recording system and method for labeling networked meetings and video/audio clips from a main stream of video/audio is disclosed and claimed. The video recording system allows a system user to selectively view and label a main video stream. A rewind control rewinds the main stream of video, and then labels the selected video clip from a start pointer to an end pointer. The video recording system also allows users to label an event for easy lookup in the future. For example, a child's solo performance at a music recital can be easily labeled for lookup.