Dynamic Color Extraction Method Selection for Video-Driven Lighting
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Solution Overview
Problem
Current dynamic lighting systems require significant user input to match light effects with video content, which is not optimal for all types of content and can be cumbersome.
Innovation Solution
A system that dynamically selects the most appropriate color extraction method based on information about the video content and user's lighting setup, allowing for automatic and media-driven light effects without extensive user input, using a processor to analyze and control light sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a single color extraction method is used for all content types, then the system is simple to operate, but the light effects are not optimal for all content types
Solution Approach 1:
The system dynamically selects the appropriate color extraction method based on the detected content type. The processor analyzes video content characteristics and automatically switches between extraction methods (e.g., dominant color, average color, color temperature) to optimize light effects for different content types without requiring manual user configuration.
Solution Approach 2:
The system changes the parameters of color extraction based on content characteristics. Different extraction methods are selected by modifying the extraction parameters according to the detected content type, allowing the same system to adapt to various content types by adjusting which extraction algorithm is applied.
2Adaptability or versatility
If multiple color extraction methods are provided for user selection, then adaptability to content types is improved, but user input requirements increase significantly
Solution Approach 1:
The system performs self-service by automatically detecting content types and selecting appropriate color extraction methods without requiring user input. The processor analyzes video content characteristics and autonomously determines which extraction method to use, eliminating the need for users to manually select from multiple options.
Solution Approach 2:
The system uses feedback from content analysis to automatically select the appropriate extraction method. The processor continuously monitors video content characteristics and adjusts the color extraction approach based on the detected content type, creating a closed-loop system that adapts without user intervention.
3Adaptability or versatility
If automatic content analysis is implemented to select extraction methods, then adaptability is improved, but device complexity increases
Solution Approach 1:
The system segments the color extraction process into distinct methods (dominant color extraction, average color extraction, color temperature extraction) that can be independently selected based on content type. This segmentation allows the processor to choose only the necessary extraction method for each content type, managing complexity through modular design.
Data Source
AI summary
A method comprises obtaining (201) media content and information about the media content and selecting (203) a color extraction method from multiple color extraction methods based on the obtained information. The media content comprises video content and the color extraction methods differ from each other in that they extract different colors from the same pixels. The method further comprises extracting (205) a color from one or more frames of the video content by applying the selected color extraction method and determining (207) one or more light effects to be rendered on one more light sources while the one or more frames are being rendered. The one or more light effects are determined based on the extracted color. The method also comprises storing (209) a light script specifying the one or more light effects and/or controlling (211) the one or more light sources to render the one or more light effects.