Visual Image Association for Multi-Object Transmission Rule Setting
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Solution Overview
Problem
Users face difficulty in determining appropriate transmission rules for images, especially when multiple objects are present in a photograph, leading to incorrect categorization and storage of images in cloud services.
Innovation Solution
An information processing apparatus that includes a reception unit to receive transmission rule settings, a selection unit to select images associated with the user, and an association unit to display the selected images and rules on a setting screen, providing visual cues for rule setting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic image transmission is implemented based on object category recognition, then image transmission efficiency is improved, but accuracy of image categorization deteriorates when multiple objects are present
Solution Approach 1:
The patent segments the image categorization process into multiple levels: first identifying main objects, then identifying accessory objects, and finally determining transmission rules based on the hierarchy. This segmentation allows the system to handle images with multiple objects by processing them in structured stages rather than attempting to categorize all objects simultaneously, thereby maintaining both efficiency and accuracy.
Solution Approach 2:
The patent applies different quality standards to different objects within an image. Main objects are identified with higher priority and stricter criteria, while accessory objects are identified with more flexible criteria. This local differentiation of quality standards allows the system to accurately categorize images with multiple objects by focusing on the most important elements while still recognizing secondary elements.
2Adaptability or versatility
If transmission rules are set for each object category, then image transmission control is improved, but user operation complexity increases when multiple objects are present in images
Solution Approach 1:
The patent merges multiple transmission rules into a unified rule-setting interface. Instead of requiring users to separately configure transmission rules for each object category, the system provides a single interface where users can set rules that automatically apply to images containing the specified objects. This merging of operations significantly reduces user operation complexity while maintaining comprehensive transmission control.
Solution Approach 2:
The system performs self-service by automatically identifying objects in images and suggesting appropriate transmission rules. The object identification unit automatically analyzes images and presents relevant categories to users, reducing the manual effort required for rule configuration. Users simply need to confirm or adjust the automatically generated suggestions rather than manually searching through all possible object categories.
3Quantity of substance
If multiple object categories are recognized in a single image, then image information completeness is improved, but difficulty in determining correct transmission rule increases
Solution Approach 1:
The patent segments the object identification process into hierarchical levels: main objects and accessory objects. This segmentation provides a clear structure for interpreting image content, where main objects are prioritized and accessory objects are identified as secondary elements. The hierarchical structure simplifies transmission rule determination by establishing a clear priority order for applying rules to images with multiple object categories.
Solution Approach 2:
The system implements feedback mechanisms where the object identification unit analyzes images and provides suggestions for appropriate transmission rules. The result presentation unit displays identified objects and their categories, allowing users to review and correct the automatic identification. This feedback loop reduces the difficulty of determining correct transmission rules by providing transparent, verifiable information about what the system has detected.
Data Source
AI summary
An information processing system includes: a reception unit configured to receive setting of a transmission rule set by a user via a setting screen to manage setting to transmit an image; a selection unit configured to select an image to be paired with the transmission rule from an image associated with the user; an association unit configured to associate the image selected by the selection unit with the transmission rule; and a display control unit configured to make display the image selected by the selection unit and the transmission rule on the setting screen as relevant information associated by the association unit.