Multi-camera metadata feed for live production coordination
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Solution Overview
Problem
In live video production environments, managing multiple cameras to capture coordinated and optimal content is cumbersome, especially when the number of cameras exceeds ten, leading to complex workflows and difficulties in determining ideal viewpoints for artistic direction.
Innovation Solution
A system and method utilizing camera metadata from multiple cameras to generate a metadata feed, which is used to control camera operations, including lens, position, and gyro settings, to ensure coordinated and optimal content capture, with a controller generating control instructions based on the metadata feed to adjust camera settings and lighting metadata for improved video production.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple cameras are used to capture live content, then content coverage and viewpoint options are improved, but workflow complexity and difficulty in managing camera coordination increase
Solution Approach 1:
The patent combines metadata from multiple cameras into a unified metadata feed that integrates lens information, position data, and gyro settings from all cameras. This merged metadata allows the system to manage multiple cameras through a single coordinated interface, reducing workflow complexity while maintaining comprehensive content coverage
Solution Approach 2:
The patent introduces a controller as an intermediary device that receives metadata from multiple cameras, processes the information, and generates control instructions. This intermediary coordinates camera operations automatically, eliminating the need for manual coordination of each camera while preserving the benefits of multiple viewpoints
2Ease of operation
If manual operation of multiple cameras is used, then artistic control and framing decisions are maintained, but time consumption and productivity decrease
Solution Approach 1:
The patent enables cameras to operate autonomously by having them generate and transmit their own metadata (lens settings, position, gyro data) to the controller. The system automatically processes this metadata and generates control instructions without requiring manual intervention for each camera, significantly reducing time consumption while maintaining operational control
Solution Approach 2:
The patent implements a feedback loop where camera metadata is continuously monitored and used to generate real-time control instructions. This automated feedback mechanism allows the system to adapt camera operations dynamically based on actual camera states and scene requirements, improving productivity while preserving artistic direction through the controller
3Manufacturing precision
If coordinated camera operations are implemented, then content capture quality is improved, but system complexity and automation requirements increase
Solution Approach 1:
The patent utilizes changes in camera parameters (lens focal length, position coordinates, gyro orientation data) as metadata to automatically determine optimal camera coordination. By monitoring and responding to these parameter changes, the system achieves high content capture quality through automated adjustment of camera settings and positioning
Solution Approach 2:
The patent performs preliminary processing of camera metadata to generate control instructions before actual content capture optimization is needed. The controller pre-processes lens, position, and gyro information to prepare coordinated camera operations, ensuring high capture quality is achieved efficiently without complex real-time automation
Data Source
AI summary
A system and method is provided for using camera metadata from multiple cameras in a live environment to improve video production workflow. Each camera of the system is provided to media content of a live scene and store camera metadata that includes camera lens, position and gyro setting. This metadata can then be provided to other cameras in the system and/or a control that can generate a 3D metadata feed using the camera metadata. Moreover, based on the metadata feed, control instructions can be generated and transmitted to one or more of the cameras to control camera operations for capturing the media content.