TV Image Quality Control via UI Analysis

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Solution Overview

Problem

Current methods for controlling image quality on TVs do not consider the characteristics of services, leading to a need for a more adaptive approach that can automatically determine the appropriate image quality control mode based on the type of content being displayed.

Innovation Solution

An electronic device recognizes an external device connected to it and determines the type of content by analyzing the user interface, using pre-generated learning network models to adjust the image quality control mode accordingly, ensuring optimal image quality for different types of content.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If image quality control mode is set to default value or controlled based on user inputs, then user can manually adjust settings, but it requires additional user input and does not automatically adapt to service characteristics

Engineering Contradiction:

Improveadaptability to service characteristicsVSAvoiduser input requirement

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The system automatically determines the service type by analyzing UI elements (buttons, icons, text) displayed on the screen and autonomously selects the appropriate image quality control mode without requiring user input. The processor identifies service characteristics through UI analysis and applies corresponding image quality settings automatically.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system continuously monitors the displayed UI elements and uses this feedback to dynamically adjust image quality control modes. By analyzing the presence and characteristics of UI elements, the system determines service type and adapts image quality settings in real-time based on the detected service characteristics.

Inventive Principle:

Principle #23Feedback

2Manufacturing precision

If automatic service recognition is implemented, then image quality can be optimized for specific services, but system complexity increases

Engineering Contradiction:

Improveimage quality optimizationVSAvoidsystem complexity

Core Design Contradiction:

Manufacturing precisionVSDevice complexity

Solution Approach 1:

The system uses UI elements (buttons, icons, text) as intermediaries to infer service type. Instead of directly analyzing service characteristics, the system detects the presence and properties of UI elements that indirectly indicate the service being provided, thereby determining the appropriate image quality control mode.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system replaces complex service detection mechanisms with UI element analysis. By analyzing visual UI elements displayed on the screen, the system can determine service type without requiring direct communication with external devices or complex hardware modifications.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS11146859B2Method and apparatus for executing content

Publication Date: 2021.10.12 SAMSUNG ELECTRONICS CO LTD

AI summary

Provided is a method of executing content, the method including: recognizing an external electronic device connected to an electronic device; determining a type of the content provided from the external electronic device to the electronic device based on a user interface (UI) displayed on a screen of the electronic device, as the external electronic device is recognized; and determining an image quality control mode for the content based on the determined type of the content.