Style Document System for Design Search Ranking
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Solution Overview
Problem
Users face difficulties in finding relevant media content within large stock image databases due to the time-consuming nature of searching through numerous images, even with the increased availability of media content online.
Innovation Solution
The system creates and maintains a 'style document' for each design, which includes its visual attributes, automatically updating as the design is modified, and uses these attributes to rank search results, ensuring that images with matching styles are prioritized in search results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If users search through large stock image databases to find relevant images, then the availability of media content is increased, but the time required to find suitable images increases significantly
Solution Approach 1:
The system performs preliminary actions by automatically generating style documents and extracting style attributes from design elements before the user needs to search. Style attributes are pre-computed and stored, enabling rapid filtering and ranking of search results without requiring users to manually examine each image in the database.
Solution Approach 2:
The patent replaces the mechanical/manual process of users browsing and evaluating images with an automated computer-based system. The system automatically extracts style attributes from design elements, compares them against database images, ranks results by style match quality, and presents filtered results to users, eliminating the need for manual image-by-image review.
2Quantity of substance
If users manually browse through numerous images in large databases, then comprehensive search coverage is achieved, but the complexity of the search process increases
Solution Approach 1:
The system introduces style documents and style attributes as intermediary elements between the user's design intent and the database images. These intermediaries automatically capture the essential visual characteristics of design elements and serve as the basis for comparing and matching images, simplifying the search process while maintaining comprehensive coverage.
Solution Approach 2:
The patent transforms the complex visual comparison task into a parameter-based matching system. By extracting style attributes (parameters) from design elements and using them to filter and rank database images, the system converts a complex visual evaluation process into a systematic parameter comparison that can be automated and scaled.
3Measurement precision
If the system ranks search results by style matching, then the relevance of search results is improved, but the computational processing required increases
Solution Approach 1:
The system extracts only the essential style attributes from design elements rather than analyzing complete images. By taking out and isolating the key visual parameters (colors, fonts, formatting) that define style, the system achieves accurate style matching with reduced computational requirements compared to full-image analysis.
Data Source
AI summary
A method includes receiving, at a processor of a computing device, a first search query during editing of a design, the first search query including at least a first search term. The method also includes identifying at least one style attribute associated with the design and searching at least one database based on the first search term, the at least one style attribute, or a combination thereof, to generate search results. The method further includes outputting the search results. A first search result of the search results is ranked higher than a second search result of the search results based on a determination that the first search result more closely matches the at least one style attribute associated with the design than the second search result.