Multidimensional Search Engine for 2D and 3D Data Retrieval
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Solution Overview
Problem
Conventional search engines are limited in their ability to effectively search and retrieve two and three-dimensional data, as they primarily rely on text-based input parameters and do not adequately utilize graphical or spatial data for matching and comparison, leading to inefficiencies in finding relevant visual and spatial information.
Innovation Solution
A search engine system capable of processing two and three-dimensional data, along with associated or derived data, using advanced comparison methods such as pixel-by-pixel analysis, point-by-point comparison, and spectral analysis, to generate queries that match user input, including images and 3D models, and provide relevant results, while also incorporating user profiles and mask data to refine searches.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional text-based search methods are used, then the search engine can process simple ASCII character data, but it cannot effectively search and retrieve two and three-dimensional visual and spatial data
Solution Approach 1:
The patent extends search capabilities from traditional one-dimensional text data to two-dimensional images and three-dimensional spatial data by introducing multidimensional search parameters including color space values, spectral signatures, spatial coordinates, and geometric properties, enabling effective retrieval across multiple data dimensions
Solution Approach 2:
The search engine is designed to handle multiple data types uniformly by converting diverse inputs (text, images, 3D models) into a common search parameter framework that processes ASCII characters, color values, spectral data, and spatial coordinates through the same retrieval mechanisms
2Measurement precision
If pixel-by-pixel and point-by-point comparison methods are used, then visual and spatial data can be accurately compared, but the processing time and computational resources increase significantly
Solution Approach 1:
The patent divides visual and spatial data into discrete searchable components such as color pixels, spectral bands, spatial points, and geometric features, allowing the search engine to process and compare specific segments independently rather than treating entire datasets as single units
Solution Approach 2:
The system pre-processes visual and spatial data by extracting key features, generating spectral signatures, and creating indexed representations before actual search queries, so that during runtime only comparative operations on pre-computed parameters are needed rather than raw data analysis
Data Source
AI summary
Embodiments including a system for searching through a database using two or three dimensional data or data derived from the two three dimensional data. The database may be populated by searching a network environment to compile two dimensional image or three dimensional model data. A search for two or three dimensional data may be utilized to determine related advertisements that may be shown on a results page in connection with the search results. A database being searched may contain pricing data related to products that are associated with two or three dimensional data.