Image Tagging Range Selection for Object Detection
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Solution Overview
Problem
Users face difficulties in efficiently searching for specific images among large collections stored on devices and cloud servers due to the need to manually browse through numerous images, even after detailed classification.
Innovation Solution
A method and system that automatically tags information to images based on detected objects, allowing users to select and input information about objects in an image, which is then applied to similar images within a set tagging range across connected devices, using technologies like face recognition and object detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually classify and store images in detail, then images can be organized for easy search, but users still have to open and check images one-by-one to find desired objects, making search inefficient for massive image collections
Solution Approach 1:
The system performs preliminary automatic tagging of images with object information before search is needed. Image processing apparatus detect objects in images and automatically generate tags, so when users search, the images are already organized and indexed with relevant object information, eliminating the need to manually open and check each image
Solution Approach 2:
The patent replaces manual mechanical browsing (opening and checking images one-by-one) with automated image processing technology. Image processing apparatus use computer vision and object detection algorithms to automatically analyze image content and generate searchable tags, substituting human manual inspection with automated mechanical/electronic systems
2Quantity of substance
If users store large amounts of images in devices and cloud servers, then image collection grows, but searching through the massive amount of images becomes increasingly difficult
Solution Approach 1:
The image processing apparatus performs self-service by automatically analyzing image content and generating descriptive tags without user intervention. The system detects objects, people, and scenes in images and automatically creates metadata that enables efficient search, allowing the system to serve itself in organizing the growing image collection
Solution Approach 2:
The system changes the parameter of image organization from manual classification categories to automated object-based tagging. By detecting actual visual content and generating tags based on detected objects, the system transforms how images are indexed and organized, making search scalable to large collections
Data Source
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AI summary
A method and a system for tagging information about an object included in an image to the image, and searching for the image by using the tagged information, and an apparatus and a computer-readable recording medium thereof. The method includes: detecting at least one object included in a displayed image, receiving, from a user, information about the detected object, and tagging the received information to the displayed image.