Cross-Device Content Mirroring With Metadata-Based Relevance Detection
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Solution Overview
Problem
Users face difficulties in efficiently selecting and providing related content from a large-screen device to a small-screen device, as existing technologies do not effectively facilitate content mirroring based on relevance.
Innovation Solution
A device and method for mirroring content that includes a communication interface, display, memory, and processors to identify related content between devices, output a notification for user confirmation, and mirror content upon user input, utilizing metadata comparison and IoT services for enhanced content synchronization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If content mirroring is enabled between devices of different screen sizes, then content synchronization is improved, but difficulty in efficiently selecting related content increases
Solution Approach 1:
The system automatically detects and mirrors related content between devices without requiring manual selection by the user. The processor identifies content相关性 based on metadata comparison and initiates mirroring autonomously, allowing the system to serve itself rather than requiring user intervention for content selection
Solution Approach 2:
The system performs preliminary content analysis and relevance determination before the user needs to select content for mirroring. By pre-identifying related content through metadata comparison, the system prepares the content selection in advance, eliminating the need for users to manually search and select related content
2Measurement precision
If manual content selection is required for mirroring, then content relevance accuracy is improved, but operation time increases
Solution Approach 1:
The patent replaces the mechanical interaction of manual user selection with an automated information processing system. The processor uses metadata comparison algorithms to automatically determine content relevance, substituting human cognitive and manual operations with computational processes that are both accurate and time-efficient
Solution Approach 2:
Metadata serves as an intermediary element that enables automatic content relevance determination. By comparing metadata between content items, the system can accurately assess relevance without requiring users to manually evaluate content, thus maintaining precision while reducing operation time
Data Source
AI summary
A first device for mirroring content to a second device is provided. The first device includes a communication interface, a display, memory storing one or more computer programs, and one or more processors communicatively coupled to the communication interface, the display, and the memory, wherein the one or more processors include computer-executable instructions that, when executed by the one or more processors individually or collectively, cause the first device to display first content on a screen of the first device, receive, from the second device, information related to second content that is being displayed on a screen of the second device, compare the information related to the second content with information related to the first content and determine whether the first content is related to the second content, output a notification inquiring user whether to mirror the first content to the second device when it is determined that the first content is related to the second content, receive a user input with respect to the notification, and mirror the first content to the second content in response to receiving the user input.