Figure Driven Search Query Using Graphical Trend Filtering
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Solution Overview
Problem
Current database search methods are limited in filtering results using visual trends, as they primarily rely on textual queries, failing to effectively utilize graphical inputs to refine search outcomes.
Innovation Solution
A system that analyzes graphical inputs to determine characteristics, such as slope or area, and uses these to filter database entries within a threshold value, presenting relevant results in a ranked manner, combining graphical and textual inputs to enhance search precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If textual queries are used for database searching, then the search process is simple and straightforward, but the ability to filter results using visual trends is limited
Solution Approach 1:
The patent combines textual queries with graphical inputs (trend lines, histograms, scatter plots) into a unified search interface. Users can simultaneously provide text descriptions and visual trend representations, allowing the system to process both types of input together to filter and rank database results, thereby enhancing versatility while maintaining operational simplicity
Solution Approach 2:
The patent introduces visual dimensionality to traditional text-based search by allowing users to represent search criteria through graphical trends across multiple dimensions (e.g., temporal trends, categorical distributions). This enables filtering along visual axes that text alone cannot effectively capture, expanding the adaptability of the search system
2Device complexity
If only textual queries are used, then the interface is simple, but the relevance and accuracy of search results are limited
Solution Approach 1:
The patent applies different processing qualities to different parts of the search input: textual queries are processed for semantic meaning while graphical inputs are processed for trend patterns and visual characteristics. Each input type is analyzed with specialized algorithms appropriate to its nature, and the results are integrated to produce highly relevant search outcomes
Solution Approach 2:
The patent creates a composite search approach that integrates multiple input modalities (text and graphics) with complementary strengths. The textual component captures semantic intent while the graphical component captures trend patterns, and their combined analysis produces search results with higher relevance and accuracy than either modality alone
3Measurement precision
If graphical analysis is integrated into the search process, then search precision is improved, but the system complexity increases
Solution Approach 1:
The patent introduces intermediary components that bridge text and graphics processing: a query parser that converts natural language to structured conditions, a graphical analysis engine that extracts trends from visual inputs, and a result integration module that combines both analyses. These intermediaries manage the complexity internally while presenting a unified simple interface to users
4Measurement precision
If visual trends are used to filter database entries, then the accuracy of results is improved, but the computational requirements increase
Solution Approach 1:
The patent implements threshold-based filtering where graphical trend analysis is applied selectively to narrow down the search space before detailed text-based filtering. By using visual trends to perform a coarse filter that eliminates obviously irrelevant results, the system reduces the computational burden of subsequent precise filtering operations, achieving high accuracy with reduced energy consumption
Data Source
AI summary
Embodiments of the present invention disclose a method, computer program product, and system for determining at least one characteristic about a figure and searching a data set based on an indicated search area for at least one entry that falls within a threshold value of the determined at least one characteristic about the figure, wherein the search area indicates which part of the data set to be searched. Displaying the at least one entry from the data set that falls within a threshold value of the determined at least one characteristic about the figure.