Partial Image Generation for Personalized Device Sharing
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Solution Overview
Problem
Existing methods for sharing images between electronic devices do not account for user preferences, leading to boredom as users receive the same full image, which may not reflect individual interests or preferences.
Innovation Solution
An electronic device generates partial images by extracting meaningful sections from shared images based on feedback received from multiple devices, allowing for personalized content delivery tailored to each user's preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the same full image is shared with all users, then transmission simplicity is maintained, but user engagement deteriorates due to lack of personalization
Solution Approach 1:
The patent segments the full shared image into multiple partial images based on user preferences and feedback. Each user receives a customized subset of image sections rather than the complete image, enabling personalization while maintaining efficient transmission. The segmentation is performed by dividing the image into regions of interest and selectively transmitting relevant portions to different users.
Solution Approach 2:
The patent applies local quality by customizing the image content for each user based on their specific preferences and feedback. Different users receive different quality levels and content selections from the same source image, with each user's partial image optimized for their individual interests rather than providing uniform content to all users.
2Adaptability or versatility
If partial images are generated for each user based on feedback, then user personalization is improved, but processing complexity increases
Solution Approach 1:
The patent applies preliminary action by collecting user feedback and preferences before generating the partial images. The system pre-processes user input data and establishes segmentation criteria in advance, so that when the image needs to be shared, the division into partial images can be executed efficiently based on pre-determined user preferences rather than performing complex analysis at the moment of sharing.
Solution Approach 2:
The patent implements feedback mechanisms where users provide input about their preferences for shared images. This feedback is used to dynamically adjust and personalize the partial images generated for each user. The system continuously receives and processes user feedback to improve personalization accuracy, creating a closed-loop system that refines image segmentation based on actual user responses.
3Reliability
If the entire shared image is retained by all devices, then data completeness is maintained, but storage efficiency deteriorates due to redundant data
Solution Approach 1:
The patent extracts only the necessary portions of the full image that are relevant to each user's preferences and transmits only those extracted partial images to the user's device. This extraction process removes redundant data that would otherwise be stored on every device, significantly improving storage efficiency while ensuring each user receives complete information relevant to their interests.
Data Source
AI summary
An electronic device, according to various embodiments, comprises: a communication unit; and a control unit, wherein the control unit may be configured to: receive, from one or more second electronic devices, via the communication unit, data regarding feedback on an image while transmitting the image that is received from a first electronic device to the one or more second electronic devices for displaying in the one or more second electronic devices; create a partial image for the one or more second electronic devices from the image on the basis of the data regarding the feedback; and provide the one or more second electronic devices with the partial image as an image corresponding to a user's preference associated with the one or more second electronic devices.