Interactive Moving Image Classification Through Icon Positioning
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Solution Overview
Problem
Existing classification methods for moving image data using predetermined rules or fixed learning models lack flexibility and accuracy, making it difficult for users to find specific scenes within large datasets.
Innovation Solution
A classification apparatus and method that allows users to interactively classify moving image data by specifying rules, displaying icons, detecting icon movements, and adjusting classifications based on user operations to refine the positioning of icons on a screen, thereby enhancing accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If predetermined rules or fixed learning models are used for classification, then the classification process is simple and fast, but the accuracy of classification results is poor
Solution Approach 1:
The patent transforms the static classification process into a dynamic one by allowing users to interactively adjust icon positions on the screen. The classification results are no longer fixed but can be dynamically modified through user operations, enabling continuous refinement of classification accuracy while maintaining operational simplicity
Solution Approach 2:
The system implements feedback by detecting user operations on icons and using this information to reclassify moving image data. The classification results are displayed as icons that users can manipulate, and these manipulations feed back into the classification system to improve subsequent classification accuracy, creating a closed-loop refinement process
2Ease of operation
If fixed learning models are used, then the system is easy to operate, but the results cannot be changed or refined
Solution Approach 1:
The patent introduces dynamic adjustability to the classification system by allowing users to move icons on the screen to indicate dissatisfaction with classification results. This dynamic interaction enables the system to adapt to user preferences and refine classifications without complicating the basic operation flow
Solution Approach 2:
The system enables users to self-correct classification results by directly manipulating icons on the screen. Users can identify misclassified content and reposition icons to indicate desired classifications, allowing the system to self-adjust based on user feedback without requiring complex reconfiguration or technical knowledge
Data Source
AI summary
A classification apparatus according to the present disclosure includes an input unit configured to receive an operation performed by a user, an extraction unit configured to extract moving image data by using a predetermined rule, a display control unit configured to display an icon corresponding to the extracted moving image data on a screen of a display unit, a movement detection unit configured to detect a movement of the icon on the screen caused by the operation performed by the user, and a specifying unit configured to specify a classification of the moving image data corresponding to the icon based on a position of the icon on the screen.


