Live Video Stream Frame Tagging for Snapshot Capture
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Solution Overview
Problem
In video conference scenarios, participants face challenges in capturing and storing individual frames of interest from a live video stream for later use, as existing technologies do not provide efficient methods for tagging and downloading specific frames during the live stream.
Innovation Solution
The system allows a presenter to tag individual frames or ranges of video frames within a live video stream, making them available for remote users to download as still pictures using in-band data transmission, enabling participants to capture and store specific images from the video conference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If participants want to capture individual frames from live video stream, then they can preserve key moments for later use, but existing technologies lack efficient methods for tagging and downloading specific frames
Solution Approach 1:
The presenter tags individual frames or ranges of video frames in advance during the live stream, marking them for later download. This preliminary tagging action enables participants to efficiently capture specific frames of interest without having to manually search through the entire video stream later.
Solution Approach 2:
The patent introduces an intermediary tagging mechanism that sits between the video stream and the participant's capture capability. This tagging system acts as a mediator that identifies and marks specific frames, making them easily downloadable for participants who want to preserve key moments from the presentation.
2Adaptability or versatility
If the system provides snapshot capture functionality, then user engagement and content management improve, but the system complexity increases
Solution Approach 1:
The snapshot capture feature is designed to work within the existing live video stream infrastructure, making the system multi-functional. The same video streaming platform that delivers live content also supports frame tagging and download capabilities, eliminating the need for separate capture tools and reducing overall system complexity.
Solution Approach 2:
The system provides self-service snapshot capture where participants can independently tag and download frames they find interesting during the live stream. This self-service approach eliminates the need for complex administrative controls or manual frame extraction processes, simplifying the system while enhancing user engagement.
Data Source
AI summary
In video conference scenarios, participants may be interested in preserving particular video frames. The participants may wish to capture one or more individual frames for storage and later usage. Systems and methods are described herein for a presenter to tag individual pictures during a live video stream for remote user download.