Attribute Display System for Image Search Frequency Analysis
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Solution Overview
Problem
Existing systems face challenges in accurately specifying desired attributes for images due to variations in how attributes are perceived and tagged, leading to difficulties in matching user search criteria with relevant image data.
Innovation Solution
An attribute display system that acquires specifying information from user-selected images, counts associated attributes, and displays frequency information to present the tendency of attributes depicted in images, allowing users to recognize attribute associations and extract desired images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If attributes are attached to images by text information based on personal perception, then the system can store and retrieve image data, but the attributes vary from one another leading to difficulty in specifying desired hairstyles
Solution Approach 1:
The system displays frequency information showing how many images have each attribute, allowing users to see the distribution of attributes in the database. This feedback mechanism helps users understand which attributes are commonly used and refine their search criteria accordingly, resolving the contradiction between attribute variation and specification accuracy.
Solution Approach 2:
The system changes the parameter representation from simple text attributes to frequency-based quantitative data. By displaying the count of images for each attribute, the system transforms subjective text descriptions into objective frequency metrics, enabling more precise attribute specification while maintaining the flexibility of text-based attribute tagging.
2Ease of operation
If linguistic expressions are used to describe attributes, then the system can represent image features, but variations in personal perception make it difficult to match search criteria with image data
Solution Approach 1:
The frequency information display provides feedback to users about how their search criteria relate to the existing image database. Users can see which attributes are commonly associated with images and adjust their search terms accordingly, improving both the ease of operation and the reliability of search results simultaneously.
Solution Approach 2:
Frequency information acts as an intermediary between the user's search criteria and the image database attributes. It translates the user's linguistic search terms into a framework that accounts for attribute variations in the database, mediating the matching process to improve both operational ease and result accuracy.
3Quantity of substance
If text information is used to depict appearance attributes, then the system can store image characteristics, but the subjective nature of attribute description reduces matching precision
Solution Approach 1:
The system transforms attribute data from qualitative text descriptions to quantitative frequency counts. By displaying the number of images for each attribute, it creates a measurable parameter that maintains the diversity of attribute data while enabling precise matching through objective frequency-based criteria.
Solution Approach 2:
The system segments the attribute data into discrete frequency categories, allowing users to analyze and match attributes based on their occurrence frequency. This segmentation transforms the continuous, subjective nature of text descriptions into discrete, measurable units that improve matching precision while preserving the comprehensive nature of the attribute data.
Data Source
AI summary
An attribute display system includes an acquisition means configured to acquire specifying information that specifies a plurality of images selected by a user from among a plurality of images presented to the user, each of the plurality of presented images being associated with attributes being text information depicting appearance shown in the images, a counting means configured to acquire attributes associated with the images specified by the specifying information and count images associated with the acquired attributes, and a display control means configured to display frequency information indicating magnitude of counts for at least a plurality of attributes with larger counts among the attributes for which the number of images is calculated by the counting means.