Landmark Retrieval System Using User-Generated Location Database
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems for classifying and retrieving image data from electronic cameras using GPS location data suffer from inaccuracies, leading to incorrect landmark identification and high maintenance costs due to the need for extensive and outdated information management.
Innovation Solution
A landmark-name retrieval system that utilizes a user-built database, allowing for accurate retrieval of landmark names through a terminal device connected to a server, which registers and updates location information and landmark names, using algorithms to determine the correct region or proximity of the shooting location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If GPS location data is used to classify and retrieve image data, then image retrieval becomes more efficient, but location accuracy deteriorates due to GPS errors
Solution Approach 1:
The patent combines multiple location data sources (GPS coordinates, address information, landmark names) into a unified location database. By merging these different types of location information, the system compensates for GPS errors and provides more accurate landmark identification even when GPS data has inaccuracies.
Solution Approach 2:
The patent introduces a landmark name as an intermediary between location data and image classification. Instead of directly using potentially inaccurate GPS coordinates for classification, the system first converts location data to landmark names through address information, which then serves as the basis for image organization and retrieval.
2Measurement precision
If extensive landmark information is collected to improve retrieval accuracy, then retrieval precision improves, but system complexity and maintenance cost increase
Solution Approach 1:
The patent enables users to autonomously register and update landmark information through the terminal device. When users take photos, they can input landmark names and location information, which is then automatically added to the database. This self-service mechanism eliminates the need for complex centralized information management and keeps the database current without extensive maintenance resources.
Solution Approach 2:
The system performs preliminary classification and organization of landmark information as users register it. The database automatically structures the location data and landmark names in advance, so that when retrieval is needed, the information is already organized and ready for efficient querying without requiring complex real-time processing.
3Device complexity
If traditional album organization methods are used to classify image data, then classification structure is simple, but retrieval efficiency deteriorates
Solution Approach 1:
The patent adds a geographic location dimension to the traditional album organization structure. Instead of only using simple folder-based classification, the system incorporates location information (landmark names, addresses, coordinates) as an additional organizational dimension, allowing images to be classified both by traditional categories and by geographic location simultaneously.
Data Source
AI summary
With a registration function, a terminal device sends shooting-location information and a landmark name to a server. The shooting-location information is obtained from an image file, and the landmark name is inputted by a user. The server registers the received location information and the received landmark name in a database so as to relate them. With a retrieval function, the terminal device sends the shooting-location information to the server. On the basis of the received location information, the server retrieves one or more corresponding landmark names along a high-accuracy retrieval program. The retrieved landmark name is sent to the terminal device.