Display Apparatus Automatic Video Content Retrieval
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Solution Overview
Problem
Users of display apparatuses, such as those using video game consoles, face inconvenience in accessing user-customized video content related to current game chapters and stages, as existing platforms require manual keyword input for searching videos.
Innovation Solution
A display apparatus with a communication interface, memory, and processors that analyze frame information from multiple application image frames to identify similarities, transmit requests to a server, and provide video information based on profile information, including identification and frame data, to offer user-customized video content without manual input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually input keywords to search for video content, then search accuracy can be maintained, but user convenience and operation time increase significantly
Solution Approach 1:
The system automatically performs video content search without requiring user intervention for keyword input. The display apparatus captures screen information from the application, extracts relevant features, and autonomously queries the server for matching video content, allowing the system to serve itself rather than requiring manual user operation.
Solution Approach 2:
The system pre-processes and analyzes application screen information in real-time to prepare search queries before the user even thinks to search. By continuously monitoring the application state and pre-extracting relevant features, the system is ready to immediately provide relevant video content without waiting for user input.
2Measurement precision
If the system analyzes multiple application image frames to identify similarities, then video content relevance improves, but processing complexity and computational resources increase
Solution Approach 1:
The system extracts only the essential and relevant features from application screen frames that are necessary for video content matching, rather than processing the entire frame data. This selective extraction of key visual elements reduces computational complexity while maintaining the ability to accurately identify relevant video content.
Solution Approach 2:
The system processes a limited number of representative frames or key moments from the application rather than analyzing every single frame. By focusing on partial but critical portions of the application content, the system achieves sufficient relevance without the excessive computational burden of complete frame-by-frame analysis.
3Adaptability or versatility
If the system automatically transmits requests to the server with profile information, then user customization improves, but network traffic and server load increase
Solution Approach 1:
The system transmits only the specific profile information and features relevant to the current application state rather than sending complete user profiles or unnecessary data. This localized transmission of only essential customization parameters reduces network traffic while maintaining personalized service quality.
Data Source
AI summary
A display apparatus includes a communication interface; a display; a memory configured to store a plurality of application image frames; and one or more processors configured to, based on a first output image frame that is output to the display and the plurality of application image frames, obtain frame information corresponding to background information and object information included in the first output image frame from information related to an application corresponding to the first output image frame based on that a number of the plurality of application image frames having a similarity to the first output image frame equal to or greater than a threshold value is equal to or greater than a threshold number, transmit a request based on profile information including identification information of the application and the frame information to a server, and control the display to provide video information corresponding to the request.


