Image Search UI with Category-Based Filtering
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Solution Overview
Problem
Users face difficulties in efficiently searching for desired images among a large number of image data stored in image photographing apparatuses, as existing systems require manual confirmation of each image, making the search process cumbersome.
Innovation Solution
The implementation of a user interface (UI) in image photographing apparatuses that generates and displays image search UIs based on categorized information, including the number of persons, photographing mode, and location, using face recognition and GPS data, allowing users to filter and organize images by various criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the number of image data is increased to expand storage capacity and functionality, then the quantity of image data increases, but the time required for manual search and confirmation of each image increases
Solution Approach 1:
The patent segments the image data into multiple categories (e.g., by date, location, event type) and organizes them into a hierarchical interface structure. Users can navigate through category levels to filter and locate specific images without manually reviewing every image, thus reducing search time while maintaining access to the complete image library.
Solution Approach 2:
The patent introduces an intermediary search interface that acts as a mediator between the user and the large volume of image data. This interface provides category-based navigation and search functionality, allowing users to quickly filter and locate images without directly confronting the overwhelming quantity of raw image files.
2Reliability
If manual confirmation of each image is required to search for desired images, then search completeness is maintained, but operation convenience deteriorates
Solution Approach 1:
The patent segments the search process into category-based filters and thumbnail preview views. Users can select desired categories and review representative thumbnails rather than confirming every image individually, maintaining search reliability while significantly improving operational convenience through selective viewing.
Solution Approach 2:
The patent applies partial action by requiring users to only review a subset of images (thumbnails or category representatives) rather than all images. This partial review approach maintains sufficient search reliability for most use cases while dramatically improving ease of operation by reducing the total confirmation actions required.
3Device complexity
If a simple image display interface is used, then device complexity is minimized, but the ability to organize and search images by multiple categories is reduced
Solution Approach 1:
The patent segments the interface into modular components: category selection elements, thumbnail display areas, and navigation controls. This segmentation allows the interface to handle multiple organization capabilities (date-based, location-based, event-based) without creating a single complex monolithic structure, maintaining usability while enhancing versatility.
Solution Approach 2:
The patent implements a universal category-based interface framework that can accommodate multiple types of image organization (by date, location, event, person). The same basic interface structure serves multiple sorting and filtering functions, avoiding the need for separate specialized interfaces for each organization method and thus not excessively increasing device complexity.
Data Source
AI summary
A method of providing a UI and an image photographing apparatus includes photographing an image, analyzing the photographed image, generating and storing information of the photographed image, and when a user command is input to generate an image search UI, displaying the image search UI that includes a plurality of lists corresponding to a plurality of categories using the information of the photographed image.