Image Geolocation via Structure Matching
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Solution Overview
Problem
Mapping sites face challenges in accurately displaying images without embedded GPS coordinates, as they cannot determine the correct geographic location for images lacking this information, leading to incorrect or missing placements on virtual maps.
Innovation Solution
A system and method that utilize recognizable image details to identify geographic locations and associate them with GPS coordinates, allowing images to be accurately positioned on mapping sites by comparing image details with stored data and associating the corresponding GPS coordinates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If images are uploaded without embedded GPS coordinates, then users can freely upload images to the mapping site, but the mapping site cannot determine the correct geographic location for displaying the images
Solution Approach 1:
The patent introduces an intermediary system that includes: (1) an image detail recognition module that extracts recognizable details from uploaded images, (2) a database of stored image details with known GPS coordinates, and (3) a matching module that compares uploaded image details against stored details. This intermediary process enables the mapping site to determine geographic locations for images without embedded GPS coordinates, thus resolving the contradiction between upload flexibility and location accuracy
Solution Approach 2:
The patent applies preliminary action by pre-storing image details and their corresponding GPS coordinates in a database before images are uploaded by users. This pre-prepared reference data enables rapid and accurate location determination when images are uploaded, maintaining both upload flexibility and location precision without requiring GPS coordinates to be embedded in each uploaded image
2Measurement precision
If GPS coordinates are required to be embedded in images, then accurate geographic placement is achieved, but images without GPS coordinates cannot be displayed on the mapping site
Solution Approach 1:
The patent implements self-service by enabling images to automatically determine their own geographic locations through the image detail recognition and matching system. When an image is uploaded, the system automatically extracts image details, compares them with stored details, identifies the geographic location, and associates GPS coordinates with the image without requiring manual intervention or pre-embedded GPS data. This allows the mapping site to accept and display all images while maintaining accurate geographic placement
3Measurement precision
If the mapping site processes images to determine GPS coordinates, then images without embedded coordinates can be placed accurately, but the processing time and computational resources increase
Solution Approach 1:
The patent applies partial action by focusing the image processing on extracting only the most recognizable and distinctive image details rather than analyzing the entire image comprehensively. The matching module compares these key extracted details against stored image details to determine geographic location. This selective processing approach achieves accurate location determination while minimizing processing time and computational resource requirements
Data Source
AI summary
Systems, methods and articles of manufacture for GPS coordinate determination for images are described herein. Embodiments of the present disclosure relate to equipping an image with GPS coordinates where the image is uploaded onto a mapping site without GPS coordinates. The mapping site is able to equip the image with GPS coordinates by identifying a recognizable structure in the image and then comparing the recognizable structure with stored structures in the mapping site. The stored structures in the mapping site have GPS coordinates for each. The mapping site compares the recognizable structure of the image without GPS coordinates to a structure stored in the mapping site with GPS coordinates. The mapping site then tags the image without GPS coordinates with the GPS coordinates associated with the stored structure that matches the structure of the image.