Image-Centric Database Retrieval with Relevance-Based Formatting
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Solution Overview
Problem
Database retrieval systems face challenges in efficiently presenting complex query results, including image metadata, where images and metadata are not easily viewable side-by-side, and require time-consuming deciphering, especially when images need to be formatted for relevance-based retrieval.
Innovation Solution
A method for providing relevance-based image-centric information involves linking and converting images into standard formats based on relevance, resizing, adjusting image quality, and displaying them on a user interface with regions for thumbnails, full-scale images, and metadata, using a screen compression algorithm to accommodate varying screen sizes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If images are converted to multiple standard formats to improve retrieval flexibility, then adaptability is improved, but device complexity increases
Solution Approach 1:
The system performs preliminary conversion of images into multiple standard formats (e.g., 8.5x11 inches, 11x17 inches, A4, A3) during the indexing phase. This advance preparation eliminates the need for real-time conversion during query execution, improving retrieval flexibility while managing system complexity through batch processing.
Solution Approach 2:
The system creates multiple copies of each image in different standard formats and stores them separately in the database. When a query is executed, the system can directly retrieve the appropriate format copy without performing conversion, thus improving adaptability while avoiding the computational overhead of real-time conversion.
2Ease of operation
If query results include both images and metadata displayed together, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The system merges the display of images and their associated metadata into a unified view. The graphical user interface presents both the image content and its metadata (such as dimensions, format, and other properties) in the same display area, allowing users to interact with both elements simultaneously without switching between separate views.
Solution Approach 2:
The system organizes the display by adding a metadata dimension to the traditional image display. Instead of showing only visual content, the interface incorporates metadata information as additional display layers or adjacent panels, enabling users to view and filter results based on both visual and attribute-based criteria.
3Manufacturing precision
If images are resized and converted to standard formats, then manufacturing precision is improved, but loss of information occurs
Solution Approach 1:
The system applies parameter changes during image conversion by adjusting resolution, dimensions, and format specifications to match standard requirements. The conversion process modifies these parameters while using quality-preserving algorithms to minimize information loss, balancing format conformity with image quality retention.
Data Source
AI summary
Methods for providing relevance-based, image centric information are provided. The methods may include receiving an image. The methods include linking each received image to an appropriate selected standard format. The selection may be based on a greatest degree of relevance between the image and the selected format. The methods include converting each image into a linked standard format. The methods include loading the converted images into a database. The methods include searching the database utilizing a query. The methods include returning a plurality of resultant images in response to the query. The methods include determining a search relevance result value for each resultant image. The search relevance result value being based on the level at which the document fits the query. The methods include ordering the resultant images based on the search relevance result values. The methods include arranging the images and associated metadata on a four-regioned user interfacing display.