Real-Time Display Region Detection Using Multi-Threshold Analysis

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Solution Overview

Problem

Existing video processing methods face instability and inaccuracies in detecting display regions due to uneven light and dark distributions, and non-smooth frame boundaries, leading to poor video image quality and viewing experience.

Innovation Solution

A method that comprehensively considers bright pixel thresholds, time-domain motion statistics, and gradient information to determine a stable boundary bright line between display and black edge regions, using multiple thresholds and feedback information to improve detection accuracy and robustness.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If pixel brightness threshold method is used to determine bright line, then detection process is simple, but detection accuracy is low and results are unstable

Engineering Contradiction:
Improvedetection process complexityVSAvoidbright line detection accuracy
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The patent combines three different detection methods (pixel brightness threshold, time-domain motion statistic, and gradient information) into a comprehensive detection system. Each method contributes to determining the bright line position, and their results are integrated through a selection mechanism to achieve more accurate and stable detection compared to using any single method alone.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent introduces feedback mechanisms where the detection results from different methods are evaluated and used to select the most reliable bright line position. The system uses feedback from multiple detection approaches to improve the final detection accuracy, particularly in handling uneven light distributions and non-smooth boundaries.

Inventive Principle:
Principle #23Feedback

2Object-generated harmful factors

If manual cropping is used to remove black edge regions, then black edges are eliminated, but video ratio and display panel proportion become inconsistent

Engineering Contradiction:
Improveblack edge regionVSAvoidvideo ratio consistency
Core Design Contradiction:
Object-generated harmful factorsVSManufacturing precision

Solution Approach 1:

The patent dynamically adjusts the cropping parameters (bright line positions) based on actual video content analysis rather than using fixed manual cropping settings. By changing the detection parameters through multiple methods and selecting optimal values, the system removes black edges while maintaining proper video ratio consistency with display panel proportions.

Inventive Principle:
Principle #35Parameter changes

3Productivity

If simple bright pixel threshold is used, then detection speed is fast, but detection stability is poor under uneven light distribution

Engineering Contradiction:
Improvedetection speedVSAvoiddetection stability
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The patent segments the detection process into three independent detection methods (brightness threshold, motion statistic, gradient information), each operating independently to evaluate different aspects of the image. This segmentation allows the system to maintain fast processing through simple threshold methods while improving reliability by incorporating more sophisticated analysis methods, with the final result selected based on which method provides the most reliable indication.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentEP3951714B1Method,apparatus and electronic device for detecting a display region of a video image in real time
Publication Date: 2024.10.09 AMLOGIC (SHANGHAI) CO LTD
  • EP3951714B1 patent drawingFigure 1~2
  • EP3951714B1 patent drawingFigure 3~5
  • EP3951714B1 patent drawingFigure 6~7

AI summary

The present disclosure discloses a method, apparatus and electronic device for detecting a display region of a video image in real time. The method includes: obtaining a pixel value of each pixel in a current frame of image, and determining a bright pixel threshold line that distinguishes a display region from a black edge region of the current frame of image according to the pixel value of each pixel; obtaining time-domain motion statistic values of pixels of the current frame of image relative to the corresponding pixels of the immediately preceding frame of image, and determining a time-domain warning line according to the time-domain motion statistic values of each row and each column of pixels of the current frame of image; determining a target optimal gradient line that distinguishes the display region from the black edge region of the current frame of image according to the gradient information of each row and each column of pixels; and determining a boundary bright line between the display region and the black edge region of the current frame of image according to the bright pixel threshold line, the time-domain warning line and the target gradient line to determine the display region of the current frame of image. The method, apparatus and electronic device of the present disclosure can select a more stable boundary bright line and improve the accuracy of the image processing algorithms.