Multi-Angle Video Streaming With GPS Camera Position Mapping
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Solution Overview
Problem
Existing video streaming systems fail to provide seamless dynamic and multi-angle viewing of events, limiting user experience and information accessibility.
Innovation Solution
A localized multi-view video streaming system that utilizes mobile computing devices with GPS and additional sensors to map relative positions of multiple cameras, allowing users to select desired camera angles and locations dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple video streams from multiple cameras are provided to enable multi-angle viewing, then the viewing experience and information accessibility are improved, but the device complexity and computation requirements increase
Solution Approach 1:
A centralized server acts as an intermediary between multiple camera sources and user devices. The server receives video streams from numerous cameras, performs centralized processing including relative position mapping and stream management, then distributes appropriate streams to users based on their location and preferences. This mediator approach allows complex multi-angle viewing functionality without increasing complexity at the user device level.
Solution Approach 2:
The video streaming system is designed with universal components that can handle multiple functions: the same server infrastructure supports both single-angle and multi-angle viewing, the user interface can display either a single stream or multiple mapped streams, and the system adapts to different event types and camera configurations. This multi-functionality allows the system to provide enhanced multi-angle viewing when needed while maintaining simplicity for standard viewing scenarios.
2Ease of operation
If real-time mapping of relative camera positions is implemented, then the dynamic viewing experience is improved, but the computation and energy consumption increase
Solution Approach 1:
The server serves as a computational intermediary that performs the intensive task of real-time relative position mapping between cameras and user devices. By offloading this computation from the mobile device to the server, the device's energy consumption and battery usage are significantly reduced while still providing real-time dynamic viewing capabilities. The server processes location data from GPS receivers and camera metadata to maintain accurate relative position mappings.
Solution Approach 2:
The system performs preliminary actions by pre-establishing the relative position mapping framework and camera metadata structures before actual viewing occurs. When a user accesses the system, the foundational mapping infrastructure is already in place, requiring minimal real-time computation on the device. The system proactively manages stream availability and positioning information, reducing the computational burden during active viewing sessions.
Data Source
AI summary
A computerized system operable to provide multiple video streams of an event. In an ideal embodiment, the system provides live and dynamic streaming of an event such as a sporting event, concert, march, rally, and the like, to allow viewers to watch video of the event from nearly any angle and vantage point.