Video Lighting Control via Virtual Object Recognition
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Solution Overview
Problem
Existing lighting effect control technologies in smart homes primarily rely on overall image color, failing to provide dynamic and immersive lighting responses to specific content changes in video streams, such as games, which affects user experience.
Innovation Solution
A method that involves dividing video frames into sequences, performing image recognition to identify target virtual objects, and dynamically controlling lighting effects based on their state information, enabling richer and content-specific lighting responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If lighting control is based on overall image color, then the control method is simple, but the lighting effect lacks options and immersion
Solution Approach 1:
The patent segments the video stream into individual video frames and further identifies specific virtual objects within those frames. Instead of treating the entire image as a single control unit, the system divides the visual content into discrete analyzable elements (frames and objects), enabling targeted lighting control based on specific object characteristics rather than overall image color alone.
Solution Approach 2:
The patent transitions from two-dimensional overall color analysis to multi-dimensional object recognition by identifying virtual objects' positions, sizes, shapes, and other spatial characteristics. This dimensional expansion allows the system to extract richer features from the video content, providing more lighting effect options while maintaining manageable complexity through structured object properties.
2Ease of operation
If lighting control is based on overall image color, then the processing is fast, but the user experience is affected
Solution Approach 1:
The patent performs preliminary actions by pre-processing video frames to identify virtual objects and extract their characteristics before lighting control is applied. The system prepares object information (position, size, shape, color) in advance, so that when lighting control is needed, the data is already structured and ready for rapid processing, minimizing real-time computational overhead.
Solution Approach 2:
The patent replaces traditional color-based lighting control mechanisms with image recognition technology that uses algorithms to identify and analyze virtual objects. This substitution enables more sophisticated user experience enhancement through object-specific lighting effects while maintaining processing efficiency by leveraging optimized recognition algorithms and pre-extracted object features.
3Measurement precision
If image recognition is performed on each video frame, then specific objects can be identified, but the processing time increases
Solution Approach 1:
The patent segments the video processing task by analyzing one frame at a time rather than processing the entire video stream simultaneously. This frame-by-frame segmentation allows precise object identification in each discrete unit while enabling efficient processing through incremental analysis, reducing overall processing time compared to holistic video analysis.
Solution Approach 2:
The patent applies partial action by performing image recognition only on relevant portions of each video frame where virtual objects are detected, rather than analyzing every pixel uniformly. The system focuses computational resources on identifying and characterizing specific objects of interest, extracting only necessary features (position, size, shape, color) to achieve precise identification with minimized processing overhead.
Data Source
AI summary
A lighting effect control method includes: obtaining a video frame image sequence by dividing frames of a to-be-tested video stream; sequentially acquiring one of untraversed video frame images in the video frame image sequence as a testing video frame image; according to a recognition result of the testing video frame image, determining that there is at least one target virtual object in the testing video frame image, and determining state information of the target virtual object in the testing video frame image, wherein the recognition result of the testing video frame image is obtained by performing an image recognition process on the testing video frame image; and controlling the lighting effect of a lighting device based on the state information.