Automated Videography System Scene Transition 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 captures video images using one or more cameras, assesses image quality based on subject activity, determines the need for framing changes, and automatically adjusts camera settings to improve image quality, differentiate between intra-scene and inter-scene transitions, and modify video capture settings accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a limited set of cameras is used in residential environments, then device complexity and cost are reduced, but the ability to capture dynamic scenes and provide contextual information deteriorates
Solution Approach 1:
The system dynamically adjusts camera parameters including field of view, focus distance, and exposure settings in real-time based on detected scene characteristics and subject activity levels. This allows a limited camera set to adapt to various residential scenarios without requiring multiple fixed cameras for each scenario.
Solution Approach 2:
The patent changes camera parameters such as focal length, aperture, and shutter speed dynamically to optimize image quality for different activities. By adjusting these parameters rather than using multiple physical cameras, the system maintains versatility while limiting hardware complexity.
2Measurement precision
If automated image processing is applied to improve image quality, then measurement precision and image quality are improved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary scene analysis and activity detection during the capture process itself, preparing processing parameters in advance. By anticipating the need for specific image processing based on detected activities (e.g., recognizing when a subject is moving versus stationary), the system reduces post-processing time while maintaining quality.
Solution Approach 2:
The automated processing system uses feedback from image quality assessment to adjust processing intensity and parameters in real-time. When image quality metrics indicate sufficient quality, processing is reduced or stopped, preventing unnecessary computational time while ensuring adequate image quality when needed.
3Adaptability or versatility
If scene transitions are managed automatically, then adaptability to dynamic environments is improved, but device complexity and control algorithms increase
Solution Approach 1:
The control system segments the complex task of scene transition management into distinct functional modules: scene detection, activity recognition, framing decision-making, and camera control. Each module handles a specific aspect independently, reducing overall system complexity while maintaining high adaptability to dynamic residential environments.
Data Source
AI summary
A method of automated videography, in which video images of at least one subject in a local environment are acquired using an automated videography system to capture video images using one or more cameras during a videography event of one or more video scenes; applying current video capture settings which define subject framing and camera parameters; analyzing the video images of a current video scene to assess image quality relative to changes in subject activity and current subject framing; determining a need to change subject framing to improve video image quality based on the assessment of image quality; determining whether the changes in subject activity, relative to the subject framing, correspond to an intra-scene transition or an inter-scene transition; determining new subject framing and new video capture settings for a scene-transition, whether intra-scene or inter-scene; and automatically modifying video image capture in accordance with the newly determined video capture settings.