Geo-Location Correlation for Digital Images
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Solution Overview
Problem
Current methods for associating photos with geographic locations are inefficient, as they lack precise correlation and require manual navigation or ambiguous tags, leading to uncertainty in identifying the correct location.
Innovation Solution
A computer-implemented method and system that allows users to select a photo and associate it with a geographic location using a geographic information system like Google Earth, where the system updates the photo's metadata with longitude/latitude data, enabling precise geo-correlation by analyzing contextual information and user data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual navigation or ambiguous tags are used to associate photos with geographic locations, then the process is simple to operate, but the precision of location correlation is poor
Solution Approach 1:
The patent introduces Google Earth as an intermediary application between the photo management system and geographic location data. This mediator provides visual navigation capabilities and precise coordinate extraction, resolving the contradiction by automating the complex task of location identification while maintaining user-friendly operation through integration.
Solution Approach 2:
The patent replaces manual mechanical navigation and tag-based location identification with automated computer vision and coordinate extraction systems. By using software automation to capture precise GPS coordinates and visual navigation data, the system eliminates the need for manual intervention while achieving high precision location correlation.
2Measurement precision
If visual navigation is used to identify geographic locations, then the precision of location identification is improved, but the time required for the process increases
Solution Approach 1:
The patent performs preliminary actions by pre-loading geographic data, pre-positioning the visual navigation interface, and pre-extracting coordinate information before the user finalizes the location selection. This allows the system to have location identification ready in advance, reducing the actual time users spend on location identification while maintaining high precision through visual confirmation.
Solution Approach 2:
The system performs self-service by automatically capturing coordinates, automatically associating locations with photos, and automatically updating metadata without requiring users to manually input or process information. The visual navigation system guides users through automated processes that complete location identification quickly and accurately.
3Reliability
If contextual information and user data are analyzed to determine geo-location, then the accuracy of location determination is improved, but the complexity of the system increases
Solution Approach 1:
The patent makes the system multi-functional by integrating photo management, visual navigation, coordinate extraction, contextual analysis, and automatic metadata updating into a single unified system. This universal approach handles multiple functions through integrated components, improving location determination accuracy by considering multiple data sources while managing complexity through system integration rather than separate components.
Solution Approach 2:
The patent merges multiple data sources including contextual information from photos, user profile data, visual navigation coordinates, and GPS metadata into a unified location determination process. By combining these diverse information sources and processing them through an integrated analysis system, the patent achieves high reliability in location determination while managing complexity through unified data processing architectures.
Data Source
AI summary
A computer-implemented method for correlating an electronic object with a geo-location is discussed. The method includes selecting an object in a first application for determination of a geo-location for the selected object, graphically identifying, in a second application, a geo-location to be associated with the selected object, and updating one or more values stored with the selected object to include information relating to the geo-location.