Calendar UI Image Context Retrieval via Neural Analysis
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Solution Overview
Problem
Users face difficulties in efficiently retrieving and organizing images stored on electronic devices, as existing methods require manual searching by date, title, or location, making it time-consuming and inconvenient to find specific images related to a subject.
Innovation Solution
An electronic device with a calendar UI that displays images based on their acquisition date, allowing users to select an image and automatically display related images with matching contexts, using neural network models to identify image contexts and retrieve relevant images within a preset date range or based on user preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually search for images using criteria such as date, title, or location, then they can find specific images, but it takes a long time and requires remembering pertinent details
Solution Approach 1:
The system performs preliminary actions by automatically organizing images into contextual groups based on their content and metadata before the user needs to search. When a user selects an image, the system has already prepared related images in the same context group, enabling immediate display without manual searching or remembering specific criteria.
Solution Approach 2:
The patent introduces an intermediary mechanism - the contextual group - that mediates between the user's image selection and the retrieval of related images. Instead of requiring users to directly search through all images using specific criteria, the system uses contextual grouping as an intermediary layer that automatically identifies and presents relevant images based on the selected image's context.
2Quantity of substance
If users store multiple images related to a specific subject at different times, then they have a comprehensive collection, but they must perform separate grouping tasks for each image
Solution Approach 1:
The system performs self-service by automatically grouping images into contextual groups without requiring user intervention. When images are stored, the system autonomously analyzes their content, metadata, and relationships to place them in appropriate contextual groups, eliminating the need for users to manually perform grouping tasks for each image.
Solution Approach 2:
The patent merges multiple images into contextual groups based on their shared subject matter or characteristics. Instead of treating each image as a separate entity requiring individual organization, the system combines related images into unified groups, allowing users to access multiple related images through a single selection action.
3Device complexity
If the system displays only one image per date area, then the calendar UI remains simple, but related images may be missed
Solution Approach 1:
The system uses a nested structure where the calendar UI maintains its simple date-area layout, but within each date area, multiple images can be nested - specifically, when a user selects an image, related images from the same contextual group are nested within the same date area view. This allows the UI to remain simple at the macro level while containing rich information at the micro level.
Data Source
AI summary
An electronic device for providing a calendar user interface (UI) displaying image and a control method thereof are provided. The electronic device may include a display, a memory configured to store a plurality of images, and a processor configured to control the calendar UI to display, in a date area of the calendar UI, a first image having time information corresponding to the date area, among a plurality of images, and based on the first image being selected among the plurality of images, identify a context included in the first image, search for a second image that is different from the first image and corresponds to the identified context, and control the calendar UI to display the second image together with the first image on the calendar UI.