Automatic Mood Media Association with Viewed Objects
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Solution Overview
Problem
Current electronic devices lack the ability to conveniently capture and associate user reactions, such as mood media items, with viewed object media items, limiting user interaction and sharing of emotional responses.
Innovation Solution
An electronic apparatus with a processor and memory that identifies mood media items while displaying object media items, determines associated objects through metadata and image recognition, and establishes an association between the mood media item and the object, enabling automatic capture and sharing of user reactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual capture of user reactions is implemented, then user interaction capability is improved, but device complexity and user effort increase
Solution Approach 1:
The system automatically captures user reactions through the camera module and associates them with media items without requiring user initiation. The processor automatically detects facial expressions, determines mood categories, and establishes associations between mood media items and object media items, making the system self-sufficient in capturing and processing user reactions.
Solution Approach 2:
The system pre-configures multiple mood media items representing different emotional states (happy, sad, angry, surprised) and prepares the association framework in advance. When a user reaction is captured, the system immediately matches it with the appropriate pre-defined mood media item, enabling rapid automatic association without requiring user input during the capture moment.
2Ease of operation
If automatic mood media item capture is implemented, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The camera module serves multiple functions: it captures both the object media item content and the user's facial reaction simultaneously. The processor performs multiple tasks including image analysis, mood detection, media item association, and data storage, consolidating what could be separate specialized components into existing universal elements of the device.
3Loss of information
If association between mood media items and object media items is established, then information value is improved, but data processing complexity increases
Solution Approach 1:
The system introduces an intermediary association layer between the object media item and the mood media item. This association data structure acts as a mediator that links the captured user reaction with the viewed content, enabling rich information retrieval and analysis without requiring complex direct processing between multiple media items. The association serves as a simplified bridge for data relationships.
Data Source
AI summary
A method comprising identifying a mood media item association with an object media item, the mood media item being a media item of a face of a user while the object media item is being viewed by the user, determining an object that is associated with the object media item, and causing establishment of an association between the object and the mood media item is disclosed.