Image Processing Device for User Objective Setting
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Solution Overview
Problem
Existing image processing technologies fail to effectively suggest objectives of interest to users based on their image content, lacking the ability to set and display achievable goals and items related to user tendencies and preferences.
Innovation Solution
An image processing device and method that analyzes user image sets to determine imaging content tendencies, sets objectives and items to be achieved, and displays these objectives and items, allowing users to execute and track progress, with features like execution confirmation and item ranking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If image analysis is performed to extract user preferences and suggest content, then user engagement is improved, but the system cannot suggest achievable objectives that users can actually complete
Solution Approach 1:
The system performs preliminary analysis of user image data to extract preferences and tendencies before setting objectives. By pre-processing image data to identify user interests, the system can suggest objectives that are both personalized and achievable, resolving the contradiction between customization and ease of operation.
Solution Approach 2:
The system incorporates feedback mechanisms where user responses to suggested objectives are used to refine future objective recommendations. This feedback loop allows the system to learn from user behavior patterns and improve both the accuracy of preference extraction and the achievability of suggested objectives over time.
2Productivity
If multiple objectives and items are set based on image analysis, then user engagement increases, but system complexity increases
Solution Approach 1:
The system segments the objective-setting process into distinct modules: image data reception, image analysis, tendency determination, objective setting, and item management. This segmentation allows each component to handle specific tasks independently, reducing overall system complexity while maintaining high user engagement through comprehensive functionality.
Solution Approach 2:
The image analyzing unit serves multiple functions: extracting user preferences, determining imaging content tendencies, and providing input for objective setting. This multi-functionality reduces the need for separate dedicated components, thereby reducing system complexity while maintaining productivity.
3Reliability
If the system tracks execution status of items, then motivation is improved, but data processing requirements increase
Solution Approach 1:
The system extracts only the essential execution status data needed for motivation tracking, separating this from other image analysis data. By extracting only the necessary information (whether items are executed or not), the system maintains motivation through tracking while minimizing the overall data processing load.
Data Source
AI summary
In the image processing device, the image processing method, the program, and the recording medium according to an embodiment of the present invention, a processor connected to a memory, the processor configured to receive an input of an image set owned by a user, analyze each image included in the image set, determine a plurality of tag information of an imaging content in the image set based on an analyzing result of each image, set one or more objectives to be achieved by the user based on the plurality of tag information, and set one or more items to be executed by the user for each of the one or more objectives based on the analyzing result of each image, and perform control such that at least one of the one or more objectives or the one or more items is displayed on a display.