Trigger-Based Composite Video Broadcasting Across Video Platforms
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Solution Overview
Problem
Existing technologies lack the ability to dynamically adjust and combine audiovisual content streams based on trigger events, leading to suboptimal viewing experiences in digital content distribution.
Innovation Solution
A computer system that accesses configurations defining viewing arrangements, detects trigger events in video streams, and automatically organizes visual content into composite videos based on these configurations, allowing for dynamic adjustments and combinations of audiovisual content streams.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional static content delivery is used, then system simplicity is maintained, but viewing experience quality deteriorates
Solution Approach 1:
The system dynamically adjusts video stream composition based on trigger events detected in the content. The composite video generator modifies the arrangement, visibility, and characteristics of multiple video streams in real-time according to detected events, transforming a static delivery system into a dynamic one that adapts to content requirements.
Solution Approach 2:
The system implements feedback mechanisms where trigger events detected in video streams initiate responses that modify the composite video output. The trigger event detector continuously monitors streams and provides feedback to the composite video generator, which adjusts the composition accordingly, creating a closed-loop control system.
2Ease of operation
If multiple video streams are combined dynamically, then viewing experience is enhanced, but processing complexity increases
Solution Approach 1:
The system segments the video processing task into distinct functional modules: trigger event detection, stream composition control, and composite video generation. Each module handles specific aspects of the processing, dividing the complex task of dynamic multi-stream combination into manageable, independent components that can be processed separately and efficiently.
3Adaptability or versatility
If real-time trigger event detection is implemented, then content adaptability improves, but computational load increases
Solution Approach 1:
The system applies partial action by selectively processing only those portions of video streams that contain trigger events. Rather than analyzing every frame of every stream uniformly, the trigger event detector identifies and responds only to specific event conditions, reducing the overall computational burden while maintaining adaptability to relevant content changes.
Data Source
AI summary
A method including: accessing a first configuration; accessing a primary video stream comprising a first set of video content, from a first online video platform; accessing a secondary video stream comprising a second set of video content; and at an initial time, combining the primary video stream and the secondary video stream according to the default viewing arrangement; at a first time, detecting the first trigger event in the primary video stream; in response to detecting the first trigger event, combining the primary video stream and the secondary video stream according to the first target viewing arrangement, and publishing the first composite video to a second video platform; and at a second time, detecting the second trigger event in the secondary video stream; in response to detecting the second trigger event, combining the primary video stream and the secondary video stream according to the second target viewing arrangement.