Image Search Key Generation for Efficient Retrieval
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional techniques for managing and searching image files require users to specify tag information in advance, making it time-consuming to find related images, as users need to separately obtain and use this information for searching.
Innovation Solution
An information processing system that generates search keys from tag information associated with image files, allowing users to easily search for related data without pre-specifying the desired tag information, by displaying thumbnails and corresponding search keys, and enabling fuzzy search key generation based on user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users specify tag information in advance to search for image files, then search results can be obtained, but the operation becomes time-consuming and complex
Solution Approach 1:
The system automatically extracts tag information from image files and generates search keys without requiring users to manually specify search criteria. The information processing device autonomously performs the search key generation based on tag information extracted from the image data, making the search process self-service oriented and eliminating the need for users to pre-specify tag information.
Solution Approach 2:
The system performs preliminary extraction of tag information from image files and pre-generates search keys before the user actually needs to search. By extracting tag information and creating search keys in advance from the image metadata, the system prepares search-ready data structures that can be quickly queried without requiring users to manually analyze and specify search criteria at the moment of need.
2Measurement precision
If users manually obtain and use tag information for searching, then search results can be found, but user effort and operation complexity increase
Solution Approach 1:
The system automatically extracts tag information from image files and generates search keys without requiring users to manually specify search criteria. The information processing device autonomously performs the search key generation based on tag information extracted from the image data, making the search process self-service oriented and eliminating the need for users to pre-specify tag information.
Solution Approach 2:
The system introduces search keys as an intermediary element between the raw image data and the search query. Instead of requiring users to directly interact with complex tag information structures, the system transforms tag information into simplified search keys that serve as a mediator, making the search interface more user-friendly and easier to operate while maintaining accurate search results.
3Measurement precision
If the system displays detailed tag information for each image, then users can find related data, but the interface complexity and information overload increase
Solution Approach 1:
The system extracts only the essential search key information from the comprehensive tag data and presents this simplified information to users. By separating and displaying only the critical search attributes (such as date, location, or other relevant tags) while omitting redundant detailed metadata, the interface presents information in a digestible format that maintains search accuracy without overwhelming users with excessive detail.
Solution Approach 2:
The system segments the comprehensive tag information into distinct, manageable components and presents them as separate search keys. Instead of displaying a monolithic block of detailed tag data, the system divides the information into logical segments (date tags, location tags, other metadata tags) that can be individually processed and displayed, reducing interface complexity while preserving search functionality.
Data Source
AI summary
An information processing device that presents at least one of data stored in memory or indexes corresponding to the data; receives a selection of the presented at least one of the data or the indexes corresponding to the data; obtains information related to the selected at least one of the data or the indexes corresponding to the data; generates at least one search key abstracted from the obtained information; searches for data within the memory based on the at least one search key; and presents at least one of the data or indexes corresponding to the data as a search result.