Electronic Apparatus Image Search Metadata Generation
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Solution Overview
Problem
Users face difficulties in quickly and conveniently retrieving desired images due to the need to sift through large amounts of search results and the omission of images without tagging information, such as shooting location or time, in current image retrieval methods.
Innovation Solution
An electronic apparatus equipped with a camera, storage, and processor that generates metadata for images lacking specific information by referencing other images or external data, allowing for the retrieval of images based on context and improving search accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image search is performed based on tagging information, then search accuracy is improved, but images without tagging information are omitted from search results
Solution Approach 1:
The system performs preliminary actions by generating and attaching metadata to images before they are needed for search. The processor automatically generates metadata (such as shooting location, time, or object information) and attaches it to images lacking such information, ensuring all images are ready for accurate search retrieval without omission.
Solution Approach 2:
Metadata acts as an intermediary element between the image and the search query. The processor uses metadata as a mediator to bridge the gap between images without tagging information and the search functionality, enabling accurate retrieval by generating and attaching relevant metadata attributes to each image.
2Reliability
If users review large numbers of keywords to select information, then search completeness is improved, but time consumption increases
Solution Approach 1:
The system performs self-service by automatically generating and attaching metadata to images without requiring user intervention. The processor autonomously creates metadata attributes (shooting location, time, objects) and attaches them to images, eliminating the need for users to manually review and select keywords while maintaining search completeness.
Solution Approach 2:
The system performs preliminary actions by pre-generating and attaching metadata to images before users need to search. This advance preparation ensures that when users search, the metadata is already in place, allowing for quick and accurate retrieval without requiring users to review large numbers of keywords or spend time on manual selection.
3Reliability
If multiple images are provided as search results, then search coverage is improved, but user convenience deteriorates
Solution Approach 1:
The system applies local quality by generating and attaching specific metadata attributes relevant to each individual image. Instead of providing generic search results, the processor creates customized metadata (shooting location, time, objects) for each image, enabling precise and convenient search results that directly match user needs without requiring users to sift through irrelevant images.
Data Source
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AI summary
An electronic apparatus is provided. The electronic apparatus includes a display, an input unit, a storage, and a processor configured to: display an interactive interface through the display, based on a query for retrieving an image being received through the input unit, identify a first image including metadata which satisfies search criteria in the query from a plurality of images stored in the storage, identify a second image photographed within a predetermined time based on a time when the first image is photographed, or a second image photographed within a predetermined distance based on a location where the first image is photographed among images without metadata related to the search criteria, and control the display to display a search result including the identified first and second images.