Tag Icon Designation for Image Object Management
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Solution Overview
Problem
Existing face detection technologies face limitations in effectively managing and processing detected faces, including imperfect detection and false alarms, and lack efficient methods for tagging and organizing objects in images.
Innovation Solution
A system and process for detecting, identifying, and managing objects in images, which includes automatic and manual detection, object tagging, normalization, and hierarchical organization, using techniques like Eigenfaces, Adaboost, and neural networks, with a system comprising an object detector, identifier, and manager to handle detected objects and their tags.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic detection techniques are used to detect objects in images, then detection speed and coverage are improved, but false alarms and detection accuracy deteriorate
Solution Approach 1:
The system employs feedback mechanisms where detection results are continuously refined through user interactions. When users tag or correct detected objects, this feedback is used to improve the detection algorithm's accuracy over time, reducing false alarms while maintaining high detection speed
Solution Approach 2:
The system enables self-service through automated detection that initially processes all images rapidly, then allows users to selectively review and correct only the uncertain cases. This self-service approach maintains high productivity while improving reliability through targeted user intervention
2Measurement precision
If manual tagging and organization methods are used for detected objects, then tagging precision is improved, but time consumption and operational complexity increase
Solution Approach 1:
Instead of requiring manual tagging for all detected objects, the system applies partial action by automatically tagging objects with high confidence and only requiring manual intervention for cases where the detection confidence is below a threshold. This reduces time consumption while maintaining tagging accuracy for critical cases
Solution Approach 2:
The system performs preliminary automatic tagging and organization of detected objects before user review. This preliminary action pre-processes the data structure and assigns preliminary tags, reducing the subsequent manual work required and overall time consumption while maintaining precision through final user verification
3Adaptability or versatility
If comprehensive object management features are added to the detection system, then functionality and user utility are improved, but system complexity increases
Solution Approach 1:
The system implements multi-functionality by integrating detection, tagging, organization, and management features into a unified platform. A single system handles multiple functions that could otherwise require separate tools, improving adaptability while managing complexity through integrated architecture
Solution Approach 2:
The system merges detection algorithms, user interface for tagging, database for organization, and management tools into a single integrated system. This combining of previously separate functions reduces overall system complexity while enhancing versatility through seamless integration
Data Source
AI summary
Displaying a tag icon is disclosed. Displaying includes receiving a tag for an object that has been detected from an image, designating the object as the tag icon, and displaying the tag icon, wherein the tag icon is a graphical representation of the tag.