Selective Mirror Enhanced Video Stream Text Readability
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Solution Overview
Problem
Video stream processing technologies that mirror images often reverse readable text, leading to distraction and safety issues, particularly in applications like vehicle rear-view cameras, where text readability is crucial.
Innovation Solution
A computer-implemented method that processes video streams to identify and extract text, applies a mirroring effect only where necessary, smooths the edges, and reintegrates the text into the video stream without reversing it, ensuring readability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Shape
If a mirroring effect is applied to video streams from cameras mounted in mirror positions, then the perspective and field of view are maintained, but readable text in the video stream becomes reversed and unreadable
Solution Approach 1:
The video stream is segmented into different regions: text regions and non-text regions. Text extraction algorithms identify and isolate text elements from the video frames, allowing selective processing where text is extracted, mirrored separately, and reinserted to maintain readability while preserving the overall mirrored perspective of the video stream.
Solution Approach 2:
Different parts of the video stream are processed differently based on their content type. Text regions receive special handling with extraction and selective mirroring to maintain readability, while non-text regions undergo standard mirroring to preserve the mirror effect. This local differentiation resolves the contradiction by applying the mirroring effect only where it doesn't harm text readability.
2Loss of information
If text extraction and selective mirroring is implemented, then text readability is maintained, but processing complexity and computational requirements increase
Solution Approach 1:
Text extraction and analysis is performed in advance on video frames before the final mirroring process. By pre-identifying text regions, their locations, and content, the system can prepare mirroring transformations ahead of time, reducing real-time computational complexity while maintaining text readability in the final output.
Data Source
AI summary
An approach for enhancing a video stream. The approach processes a video stream and identifies frames comprising text. The approach marks text extraction locations and extracts the text from the frames. The approach determines if a mirroring effect should be applied to the text and applies if applicable, creating enhanced text. The approach inserts the enhanced text and smooths the edges of the inserted enhanced text. The approach merges the frames with the enhanced text into the video stream, creating an enhanced video stream and sends the enhanced video stream to requesting users.