Automated Videography Subject Framing Control
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Solution Overview
Problem
Current video communication systems are not adequately optimized for dynamic residential environments, lacking in user interface improvements, image capture technology, and privacy management, which hinders seamless and contextual video capture and transmission in unstructured, informal settings.
Innovation Solution
An automated videography system that determines the current shot framing of subjects based on their movement and adjusts camera settings to ensure proper framing, using a combination of wide and narrow field of view cameras, and incorporates a contextual interface to manage privacy and adapt to changing environments during video communication events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If automated videography systems use fixed camera framing, then device complexity is reduced, but adaptability to dynamic residential environments deteriorates
Solution Approach 1:
The system implements dynamic camera control by continuously monitoring subject motion and automatically adjusting framing parameters. The camera transitions from static to dynamic operation, adapting field of view and subject positioning in real-time based on detected motion patterns, thereby resolving the contradiction between fixed simplicity and dynamic adaptability.
Solution Approach 2:
The system employs feedback mechanisms where motion detection outputs directly influence camera framing adjustments. The closed-loop control continuously monitors subject movement and feeds this information back to the camera control system, enabling automatic adaptation without increasing operational complexity for the user.
2Ease of operation
If manual framing control is used, then ease of operation is improved, but productivity in capturing dynamic events deteriorates
Solution Approach 1:
The system performs self-service by automatically detecting subject motion and adjusting its own framing without requiring manual user intervention. The camera system serves itself by implementing autonomous tracking and reframing, thereby maintaining ease of operation while dramatically improving productivity in capturing dynamic residential events.
3Adaptability or versatility
If multiple cameras are deployed to cover all angles, then adaptability to dynamic environments is improved, but device complexity and cost increase
Solution Approach 1:
The system segments the video capture task into motion detection and camera control functions. By separating these functions and using a single camera equipped with intelligent control, the system achieves multi-angle adaptability through software-based scene analysis rather than through multiple physical cameras, thereby reducing device complexity while maintaining versatility.
Data Source
AI summary
A method for framing subjects captured on video includes receiving video of a subject and determining a current shot framing of the subject. A magnitude and a direction of movement of the subject is determined, relative to the current framing and a level of motion threshold. The subject movement is analyzed relative to the determined magnitude, direction of subject movement, and the current framing, to determine that the subject is properly framed by the current shot framing or whether modifications of the current shot framing are required to capture the moving subject, or to determine a new shot selection and new shot framing. The camera re-frames the subject if the subject is determined not to be properly framed, in accordance with the determined modifications of the current shot framing, the new shot selection and new shot framing. Video images are provided to a remote viewer.