Panoptic Computer Vision Event Detection for Instant Video Sharing
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Solution Overview
Problem
Conventional panoptic computer vision systems require expert operation and post-hoc review to detect and share events of interest, leading to potential missed experiences due to fleeting nature and uncertainty of event occurrence.
Innovation Solution
Implementing a system that constructs a 360-degree view in real-time from multiple viewpoints, detects events of interest with low latency, and isolates video excerpts for immediate review and sharing using system-on-chip capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional panoptic computer vision systems are used, then a panoramic view of the scene is achieved, but expert operation and post-hoc review are required leading to missed experiences
Solution Approach 1:
The system performs automatic event detection and video excerpt generation without requiring expert operation. The panoptic video feed is automatically analyzed to detect events of interest, and video excerpts are automatically generated and made available for review, eliminating the need for manual expert intervention while maintaining high reliability in detecting fleeting events
Solution Approach 2:
The system continuously generates and stores video excerpts of detected events in advance, so that when users want to review events, they are already available immediately without requiring post-hoc review operations. This preliminary preparation of event data ensures no experiences are missed while keeping the system easy to operate
2Loss of time
If real-time detection and sharing of events is implemented, then participants do not miss immersive experiences, but system complexity increases
Solution Approach 1:
The system extracts only the essential video portions containing events of interest from the complete panoptic video feed, creating compact video excerpts. This extraction approach minimizes data processing and transmission requirements, enabling real-time detection and sharing without excessive system complexity
Solution Approach 2:
The continuous panoptic video feed is segmented into discrete video excerpts based on detected events. This segmentation allows the system to process and share only relevant portions of the video stream in real-time, reducing computational burden and system complexity while preventing time loss for participants
Data Source
AI summary
In one example, a method performed by a processing system including at least one processor includes acquiring a plurality of video volumes of an environment from a plurality of cameras, wherein at least two individual video volumes of the plurality of video volumes depict the environment from different viewpoints, generating a panoptic video feed of the environment from the plurality of video volumes, detecting an event of interest occurring in the panoptic video feed, and isolating a video volume of the event of interest to produce a video excerpt.