3D Model Search via Geolocation Tagging
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Solution Overview
Problem
Current systems for providing 3D models in response to search requests lack efficient methods for indexing and retrieving models based on geolocation information, leading to suboptimal search results and user experience.
Innovation Solution
A server-based method that accesses a database of 3D models associated with geographic locations, identifies points of interest from map information, generates system tags based on these points, and associates these tags with the models for improved indexing and retrieval, allowing for more accurate and relevant search results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If 3D models are indexed using traditional search methods (titles, descriptions, categories), then the search process is simple, but the search accuracy and relevance are insufficient
Solution Approach 1:
The system performs preliminary action by automatically generating and associating tags with 3D models before they are searched. The server proactively creates tags based on model metadata and geolocation information, so that when searches occur, the tags are already in place to enable accurate retrieval without requiring complex real-time processing during search operations.
Solution Approach 2:
Tags serve as an intermediary between the 3D models and the search queries. Instead of directly complex matching between model attributes and search criteria, the system uses tags as a simplified intermediary layer that bridges the gap, allowing accurate search results to be obtained through a more straightforward search-process.
2Measurement precision
If detailed geolocation-based indexing is implemented, then search relevance is improved, but the processing time and system resources increase
Solution Approach 1:
The system performs the time-consuming geolocation-based tag generation in advance during model ingestion, rather than during search operations. By pre-processing and storing the tagged models, the system eliminates the need for complex real-time geolocation processing during searches, thus improving search speed while maintaining high relevance.
Solution Approach 2:
The system creates a simplified copy of the geolocation and metadata information in the form of tags, which captures the essential search relevance without storing the complete complex geolocation data structures. This copying approach reduces the data volume and processing requirements during search while preserving search relevance.
3Measurement precision
If manual tagging of 3D models is used, then tag accuracy is high, but the time required for model indexing increases
Solution Approach 1:
The system performs self-service by automatically generating tags based on the model's own metadata and geolocation information. Instead of requiring manual intervention to assign tags, the server autonomously processes the model data and creates appropriate tags, thereby maintaining high tag accuracy while significantly improving indexing speed and productivity.
Solution Approach 2:
The system replaces the mechanical manual tagging process with an automated computational process. Instead of human operators manually assigning tags, the system uses algorithms that automatically generate tags based on model metadata and geolocation, eliminating the time-consuming manual step while maintaining or improving tag accuracy through consistent computational logic.
Data Source
AI summary
Aspects of the invention relate generally to identifying and providing 3D models in response to a search request. More specifically, a server may access a database of 3D models, at least some of which include geolocation information such as an address, intersection, or geolocation coordinates. The server may select a particular model and identify points of interest. For example, the server may use detailed map information to identify points of interest located at or near the geolocation information associated with the particular model. Once a point of interest has been identified, a corresponding system tag may be generated and associated with the 3D model. Tags may be used to index, search, and retrieve 3D models in response to a search request. For example, when a request for a 3D model is received, the server identifies the search terms and searches the tags to identify relevant 3D models.