Display Apparatus Resolution Classification via Upscaling Capability
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Solution Overview
Problem
Users face difficulties in rapidly and accurately searching for content with specific resolutions in display apparatuses, as existing systems lack efficient methods for classifying and providing resolution information, leading to suboptimal viewing experiences.
Innovation Solution
A display apparatus and operating method that transmit requests for content-related information, classify resolutions based on upscaling capabilities, and display final resolutions using AI encoding and decoding schemes, allowing for accurate classification and presentation of content resolutions to users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If content resolution information is provided without classification based on upscaling capabilities, then the system is simple, but users cannot rapidly and accurately search for content with specific resolutions
Solution Approach 1:
The display apparatus performs preliminary classification of content resolution information based on upscaling capabilities before presenting it to users. The processor categorizes content into different resolution groups (e.g., native resolution, upscalable resolution) in advance, enabling users to quickly search and identify content with specific resolutions without manual filtering, thus improving search efficiency while maintaining manageable system complexity through structured preprocessing
Solution Approach 2:
The system changes the parameter of resolution information presentation by classifying and displaying resolutions in multiple categories based on upscaling capabilities. Instead of showing a single resolution value, the system transforms resolution data into classified groups that reflect the display apparatus's actual rendering capabilities, allowing users to accurately identify suitable content while the processor manages the classification logic
2Measurement precision
If the display apparatus classifies and processes resolution information based on upscaling capabilities, then accurate resolution information is provided to users, but the processing complexity increases
Solution Approach 1:
The processor segments resolution information into distinct categories based on upscaling capabilities, such as native resolution content and upscalable content. By dividing the resolution data into separate classified groups rather than treating it as a single undifferentiated parameter, the system achieves accurate resolution classification that helps users make informed decisions, while the segmentation itself provides a structured approach that manages processing complexity
Solution Approach 2:
The processor acts as an intermediary that receives raw resolution information from the content source and transforms it into classified resolution categories based on upscaling capabilities. This intermediary processing layer accurately matches content resolution with display capabilities, providing precise resolution information to users while managing the complexity through a dedicated processing component rather than distributed logic
3Manufacturing precision
If the system provides detailed classification of content resolutions, then users can find suitable content more accurately, but the information processing time increases
Solution Approach 1:
The system performs preliminary classification of content resolution information into upscaling-capable categories before user selection. By pre-processing and organizing resolution data into structured groups based on display capabilities, the system enables users to quickly identify suitable content without requiring complex real-time analysis during browsing, thus achieving accurate content matching while minimizing additional processing time
Solution Approach 2:
The system applies different levels of classification detail to different content types or resolution ranges. Instead of uniformly classifying all content with the same level of detail, the processor provides locally optimized classification that focuses computational resources on distinguishing resolutions that are most relevant to the display apparatus's upscaling capabilities, achieving accurate matching while reducing overall processing time through selective detailed classification
Data Source
AI summary
An operating method of a display apparatus includes transmitting a transmission request for content-related information and resolution information of the display apparatus to a server, receiving the content-related information corresponding to the transmission request from the server, obtaining a final resolution by classifying a resolution of content included in the content-related information, based on whether the display apparatus supports upscaling, and displaying information about the content, the information including the final resolution.


