Image Correction Recommendation via Social Graph Analysis
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Solution Overview
Problem
Conventional image processing systems struggle to automatically configure image correction procedures that align with individual user preferences, as existing methods require user-specific setup or rely on pre-defined procedures that may not match user preferences, leading to suboptimal results.
Innovation Solution
An image processing system that utilizes a social graph to determine user relationships and preferences, recommending image correction procedures based on the analysis of user interests and activities, allowing for the application of correction procedures configured by users with similar hobbies or tastes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional image correction methods are used, then image correction can be performed, but the correction procedure configuration requires high proficiency and large effort
Solution Approach 1:
The patent applies copying by retrieving correction procedures from previously processed images with similar features. Instead of requiring users to configure correction procedures from scratch, the system copies proven correction procedures from the correction history database that were successfully applied to similar images in the past, thereby maintaining correction quality while significantly reducing user effort and expertise requirements
2Ease of operation
If pre-defined correction procedures are used, then operation is simplified, but the procedures may not match individual user preferences
Solution Approach 1:
The patent applies local quality by determining image features specific to each correction target image and matching them with corresponding features from historical images. The system analyzes local characteristics such as image content, style, and composition to select correction procedures that are locally optimized for the specific image being processed, rather than applying generic pre-defined procedures, thereby aligning correction results with individual user preferences
3Reliability
If user-specific correction procedures are configured, then user preference alignment is improved, but the configuration work requires high proficiency and large effort
Solution Approach 1:
The patent applies preliminary action by pre-configuring and storing correction procedures in the correction history database for various image types and features before the user needs them. When a user requires correction, the system retrieves pre-configured procedures from the database that match the image features, eliminating the need for users to perform time-consuming configuration work while still achieving personalized correction results
Data Source
AI summary
An image processing system includes a first determination unit configured to determine a relationship between a user and another person established through utilization of a predetermined service, a second determination unit configured to determine a relationship between a first image, which is of the user and has been subjected to image correction processing, and a second image, which is of the another person, and a recommendation unit configured to, based on a determination result of the first determination unit and a determination result of the second determination unit, recommend image correction processing performed on the second image to the user.