Image Accumulation Apparatus for Metadata Accuracy
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Solution Overview
Problem
Conventional techniques for attaching metadata to images are inefficient, as they often require manual operation for a large number of images and may incorrectly assign metadata to similar images, leading to inconsistent and unreliable feature values for object identification.
Innovation Solution
An image accumulating apparatus and method that specifies and displays similar images with associated text information, allowing users to confirm the suitability of the metadata, ensuring consistency and accuracy by storing metadata only when it matches the image features, thereby reducing the load of manual metadata attachment and improving metadata management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual metadata attachment is performed for a large number of images, then metadata can be attached to images, but the work load increases significantly and efficiency decreases
Solution Approach 1:
The system automatically performs metadata attachment by extracting text information from images using OCR technology and automatically assigning metadata based on image analysis, eliminating the need for manual metadata attachment while maintaining accuracy through automated verification processes
Solution Approach 2:
The system introduces an automated metadata management apparatus that acts as an intermediary between images and metadata, using OCR extraction, image analysis, and automated assignment mechanisms to bridge the gap between image content and appropriate metadata without direct human intervention
2Productivity
If metadata is automatically assigned to similar images, then productivity increases, but metadata may be incorrectly assigned leading to inconsistency
Solution Approach 1:
The system implements feedback mechanisms where extracted text information and image features are analyzed to verify metadata appropriateness before assignment, and where metadata assignment results are evaluated and refined based on consistency checks across similar images, allowing the system to learn and improve metadata assignment accuracy
Solution Approach 2:
The system performs preliminary analysis of image features and extracted text information before metadata assignment, pre-evaluating the suitability of metadata for each image to ensure consistency before actual assignment occurs, preventing incorrect metadata attachment from the outset
3Measurement precision
If feature values are calculated from multiple images for object identification, then identification capability is improved, but inconsistent metadata leads to unreliable feature values
Solution Approach 1:
The system implements preliminary validation and consistency checks on metadata before it is used for feature value calculation, cushioning against the potential harm of inconsistent metadata by filtering and verifying metadata quality in advance, ensuring that only reliable metadata contributes to feature value calculation
Data Source
AI summary
A computer-readable recording medium storing a program for causing a computer to execute an image accumulating procedure, the procedure includes: specifying a second image similar to a first image that is associated with text information; displaying the second image in an identifiable manner, and the text information on a display device; and storing the text information associated with image information that is related to the second image, based on instruction information that instructs a use of the text information with respect to the second image.