Automated Video Brightness Correction for PSE Trigger Reduction
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Solution Overview
Problem
Current methods for reducing Photosensitive Epilepsy (PSE) triggers in video images are laborious, time-consuming, and prone to over-correction, as they involve manual editing and re-checking processes to comply with standards like the Ofcom/ITU BT.1702, which requires minimizing flashing patterns, especially those with over 20nit differences across a quarter of the screen.
Innovation Solution
A method that analyzes video image sequences for brightness changes exceeding a threshold, applying correction procedures such as adjusting image brightness or replacing images with adjacent ones to minimize PSE triggers, using sub-division of images into sub-areas for analysis and applying non-linear brightness changes to ensure compliance with PSE reduction guidelines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual video editing is used to reduce PSE triggers, then PSE trigger reduction can be achieved, but the process becomes laborious and time-consuming
Solution Approach 1:
The patent replaces manual mechanical editing processes with an automated computer-based system that analyzes video frames, detects flashing patterns, and applies corrections automatically. The system uses algorithms to identify PSE triggers and modify video data without human intervention, thereby eliminating the time-consuming manual editing process while maintaining effective PSE trigger reduction.
Solution Approach 2:
The video processing system performs self-correction by automatically detecting PSE triggers within the video content and applying appropriate modifications. The system analyzes its own input video data, identifies problematic flashing patterns, and generates corrected video output without requiring external manual intervention, making the process efficient and self-sufficient.
2Reliability
If manual video editing is used to reduce PSE triggers, then PSE compliance can be achieved, but the process becomes costly
Solution Approach 1:
The patent replaces expensive manual professional editing services with an automated computational system. The computer-based algorithm performs PSE analysis and correction tasks that previously required skilled editors, thereby reducing labor costs while maintaining compliance with ITU standards through systematic automated processing.
Solution Approach 2:
The system automatically adjusts video parameters such as brightness thresholds and frame timing to ensure compliance with ITU standards. By programmatically modifying these parameters, the system achieves reliable standard compliance without the need for costly manual adjustment and re-checking cycles.
3Reliability
If manual video editing is used to reduce PSE triggers, then some correction can be achieved, but the process is inexact and prone to over-correction
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors video frames for PSE triggers, applies corrections, and re-evaluates the corrected output. This iterative feedback loop ensures that corrections are precisely targeted at actual PSE triggers without introducing unnecessary over-correction, maintaining both effectiveness and accuracy.
Solution Approach 2:
The system performs preliminary analysis of video content to identify potential PSE triggers before applying corrections. By pre-identifying problematic flashing patterns and their characteristics, the system can apply precise, targeted corrections rather than broad over-corrections, thereby maintaining video quality while ensuring PSE compliance.
Data Source
AI summary
A method of adjusting video image data to reduce photosensitive epilepsy (“PSE”) triggers, the method including evaluating a sequence of video images to determine if the number of changes in brightness exceeding a predetermined threshold between contiguous images is greater than a predetermined value over a predetermined time or predetermined number of video images; and if the determined number exceeds the predetermined value then applying a correction procedure to the sequence of images. The correction procedure includes: for each image, applying a plurality of candidate brightness changes to the image and subsequently determining which of the applied changes result in the number of changes in brightness between contiguous images exceeding the predetermined threshold being reduced to below the predetermined value; and selecting the determined applied change having the smallest brightness change.