Image Classification via Tag-Based Grouping for Electronic Devices
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Solution Overview
Problem
Users of electronic devices face difficulties in identifying and efficiently utilizing information due to the lack of clear organization and correlation between data items, making it hard to effectively use services provided by the devices.
Innovation Solution
An image display method and apparatus that acquires images and corresponding tags, classifies them into groups based on these tags, and displays the images accordingly, enhancing user interaction and information accessibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If images and data are stored without classification, then storage capacity is maximized, but user ability to identify and correlate information deteriorates
Solution Approach 1:
The patent applies segmentation by classifying images into distinct groups based on extracted tags. The image manager divides the image database into multiple classified groups, allowing users to access specific categories of images efficiently. This resolves the contradiction by organizing stored images into manageable segments while preserving total storage capacity.
Solution Approach 2:
The patent introduces tags as an intermediary element between images and users. Tags serve as classification markers that enable efficient retrieval and correlation of images without requiring physical reorganization or loss of storage capacity. The tag-based intermediary system bridges the gap between raw storage and user-friendly access.
2Device complexity
If images are displayed without grouping, then display simplicity is maintained, but user efficiency in identifying desired information deteriorates
Solution Approach 1:
The display interface is segmented into multiple groups based on image classification. Each group represents a category of images with shared characteristics or themes, allowing users to quickly locate desired information. This segmentation maintains display organization without excessive complexity, resolving the contradiction between simplicity and efficiency.
Solution Approach 2:
The patent employs visual differentiation (analogous to color changes) through group-based display organization. Different image groups are presented with distinct visual identifiers or arrangements, enabling users to rapidly identify and navigate to desired image categories. This visual coding system enhances user efficiency while maintaining display clarity.
3Loss of information
If additional classification information is added to images, then information correlation capability is improved, but data processing complexity increases
Solution Approach 1:
The image manager automatically extracts tags from images and performs classification without requiring manual user input. This self-service approach to tag extraction and classification reduces the perceived complexity for users while maintaining strong information correlation capabilities. The system handles the processing complexity internally while providing simplified user interaction.
Solution Approach 2:
The patent creates tag-based copies or representations of image characteristics rather than manipulating the actual image data extensively. Tags serve as lightweight copies of image attributes, enabling efficient classification and correlation without heavy processing of the original image files. This copying approach minimizes processing complexity while preserving information correlation.
Data Source
AI summary
An apparatus and method are provided for displaying an image. A method includes acquiring at least one image and at least one tag corresponding to the image; classifying the image into at least one group, based on the tag; and displaying the image corresponding to the group.