Spatial Descriptor Generation for Virtual Space Search
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Solution Overview
Problem
As the number of virtual spaces in the metaverse increases, there is a growing need for an efficient method to search and access specific virtual spaces, which is currently lacking in existing technologies.
Innovation Solution
The method involves setting crawling points in a three-dimensional virtual grid for a virtual space, collecting street view and aerial view images at these points, and generating spatial descriptors from these images to create identification information for the virtual space.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the number of virtual spaces increases, then service diversity is improved, but searchability and user accessibility deteriorate
Solution Approach 1:
The virtual space is divided into multiple crawling areas, each represented by a unique spatial descriptor. This segmentation allows the system to manage diverse virtual spaces individually while providing unified search functionality through the spatial descriptor database, resolving the contradiction between service diversity and searchability.
Solution Approach 2:
The spatial descriptor serves as an intermediary between the diverse virtual spaces and the user search queries. It extracts key visual features from images of virtual spaces and creates a standardized representation that enables efficient searching and accessibility across multiple virtual spaces without requiring users to navigate through complex virtual environment details.
2Measurement precision
If entire virtual space images are stored for search, then search accuracy is improved, but storage space requirements worsen
Solution Approach 1:
The system extracts key visual features from the entire virtual space images and stores only these extracted features as spatial descriptors, rather than storing the complete images. This extraction approach maintains search accuracy by preserving essential visual characteristics while significantly reducing storage space requirements.
Solution Approach 2:
Instead of storing the original high-resolution images of virtual spaces, the system creates a simplified copy in the form of a spatial descriptor that captures the essential visual features. This copy suffices for search and identification purposes while consuming minimal storage space compared to the original images.
Data Source
AI summary
Disclosed are a method and apparatus for generating identification information for a virtual space that are capable of supporting users in searching for a virtual space. The method of generating identification information for a virtual space includes: setting a plurality of crawling points for each crawling area in a three-dimensional virtual grid shape for a virtual space; collecting at least one of a street view image and an aerial view image in a preset direction at the crawling point; and generating a spatial descriptor for each of the crawling points from the collected image.