One-Action Image Labeling with Automatic Element Identification
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Solution Overview
Problem
Existing devices and methods lack the ability to efficiently apply labels to images, such as patent figures, with a single action, automatically identify elements, and change label properties like orientation and position, leading to cumbersome user interfaces and time-consuming interactions.
Innovation Solution
A system and method that allows users to apply labels to images with a single action, automatically identify elements, and change label properties using a user interface that communicates with a computer to streamline interactions, enabling efficient label application.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional multi-step label application methods are used, then label placement can be achieved, but user interface complexity and time consumption increase
Solution Approach 1:
The system pre-generates multiple candidate labels with different styles, formats, and positions before the user needs them. When a user selects an element, the appropriate label is already prepared and can be applied immediately, eliminating the need for users to manually configure label properties step-by-step.
Solution Approach 2:
The system automatically detects elements in the image and generates corresponding labels with appropriate reference numbers and positioning without requiring manual user input. The label application process serves itself by automatically identifying what needs labeling and creating the labels autonomously.
2Productivity
If automatic element identification is implemented, then labeling speed improves, but system complexity increases
Solution Approach 1:
The patent replaces manual mechanical operations (user manually selecting and placing each label) with an automated computer vision system that uses image processing algorithms to automatically detect and identify elements, generating labels autonomously based on detected features.
Solution Approach 2:
The system introduces an intermediate automated processing layer between the user and the label placement function. This intermediary automatically identifies elements and prepares labels, simplifying the user's task while managing the complexity internally through automated workflows.
3Measurement precision
If manual label configuration is required, then label accuracy improves, but ease of operation deteriorates
Solution Approach 1:
The system performs more label generation actions than strictly necessary by pre-generating multiple candidate labels with various configurations. The user only needs to select from these pre-prepared options rather than configuring everything manually, achieving high accuracy with minimal user effort.
Solution Approach 2:
Label positioning and formatting are predetermined and prepared in advance for multiple possible scenarios. When an element is selected, the system already has appropriate label configurations ready, ensuring accurate placement without requiring the user to manually adjust each parameter.
Data Source
AI summary
A system and method for adding at least one label to at least one image. The system can comprise a computer and a user interface comprising an image display and at least one input device configured to permit a user to communicate with the computer. The system is configured to perform a method for adding a label to an image comprising at least one element. In a second aspect, the method comprises several steps including: displaying an image to a user on an image display of a user interface; receiving a positional indication from the user identifying a selected location on the image; and adding a label to the image at a location corresponding to the positional indication. The label comprises a symbolic designation identifying an element of the image, the symbolic designation generated by a system comprising the user interface and without the user fully specifying the symbolic designation.