User-Defined Image Sorting Rules for Cloud Storage Efficiency
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Solution Overview
Problem
Existing image sorting methods lack the ability to efficiently manage and automatically sort images based on user-defined rules, particularly in cloud-based systems, leading to inefficiencies in storage and transmission.
Innovation Solution
An information processing apparatus with a management unit, sort unit, and display control unit that allows users to generate and manage image sorting rules, enabling automatic sorting and transmission to external services based on predefined criteria, including object categories and facial recognition, while also supporting rules for non-matching images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual image sorting is used, then user control over image classification is maintained, but time consumption and labor burden increase
Solution Approach 1:
The system enables users to define their own classification rules through a user-friendly interface, and the system automatically executes the sorting based on these rules. The automatic sorting function processes images without requiring manual intervention for each classification decision, thereby improving productivity while maintaining user control through rule definition.
Solution Approach 2:
Users prepare classification rules in advance through the rule setting interface, and the system stores these rules for automatic execution. This preliminary rule configuration allows the system to perform efficient automatic sorting without requiring complex real-time decision-making during the actual image processing.
2Productivity
If automatic sorting based on user-defined rules is implemented, then sorting efficiency improves, but system complexity increases
Solution Approach 1:
The system divides the image sorting task into separate functional modules: a rule definition module where users configure classification criteria, a rule storage module that saves the defined rules, and an automatic sorting module that executes the sorting based on stored rules. This segmentation allows each module to be simple and independent, reducing overall system complexity while enabling efficient automatic sorting.
Solution Approach 2:
The system introduces a rule representation layer that mediates between user intentions and automatic sorting execution. Users define rules in a simplified interface, the system translates these into executable sorting criteria, and then applies them automatically. This intermediary layer simplifies the interaction between users and the complex sorting logic.
3Productivity
If images are manually sorted and stored, then storage organization is controlled by user preferences, but storage capacity utilization is inefficient
Solution Approach 1:
The system continuously processes images through automatic sorting based on user-defined rules, maintaining consistent organization without interruption. The automatic sorting function operates continuously on incoming images, ensuring that storage capacity is continuously optimized according to user preferences rather than requiring periodic manual intervention.
4Adaptability or versatility
If cloud-based image management is used, then accessibility and collaboration improve, but data transmission and storage costs increase
Solution Approach 1:
The system extracts and transmits only the classified image data to external services based on user-defined rules, rather than transmitting all images regardless of their classification. This selective transmission approach reduces unnecessary data transfer and storage resources while maintaining the adaptability of cloud-based collaboration and accessibility.
Data Source
AI summary
An information processing apparatus includes a management unit configured to manage images of a user; a sort unit configured to sort out, from the managed images, an image that matches a rule selected by the user, and a display control unit configured to display a first setting screen for the user to select the rule, wherein the first setting screen includes, as the rule, a first rule generated by the user and a second rule for sorting out an image that does not match the first rule.