Image Location-Based Retrieval System for Reducing Search Time
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Solution Overview
Problem
Information retrieval systems often return a large number of irrelevant results when searching for information based on images, as they need to sift through vast amounts of visual data, making it time-consuming for users to find specific information related to an object's location and type.
Innovation Solution
An image and location-based information retrieval system that uses location-defined files to match visual image information with geographic position information, allowing only relevant information about a specific object to be displayed, by generating search queries that include both location and object type, and comparing image features to deliver targeted results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional information retrieval systems search through vast amounts of visual data to find matching images, then comprehensive search coverage is achieved, but the search time increases significantly and users must sift through many irrelevant results
Solution Approach 1:
The patent segments the search process into two distinct phases: (1) pre-processing phase where images are extracted from location-defined files and stored in a dedicated search database with associated location and type metadata, and (2) search phase where queries are executed against this pre-organized database. This segmentation allows comprehensive search coverage while reducing actual search time by avoiding repeated processing of location-defined files during each query.
Solution Approach 2:
The system performs preliminary actions by pre-extracting images from location-defined files and pre-organizing them in a search database with metadata before actual search queries are executed. This preliminary organization of visual data with location and type information enables fast filtering and matching during search operations, eliminating the need to sift through irrelevant results during the search itself.
2Loss of information
If the system returns all matching images regardless of location and type, then complete information is provided, but users are overwhelmed by irrelevant results
Solution Approach 1:
The patent applies local quality by associating specific attributes (location and type) with each image in the search database. Instead of treating all images uniformly, the system tags each image with its specific location-defined file origin and object type, enabling targeted filtering. This allows the system to return complete and accurate information for relevant images while excluding irrelevant ones, improving user convenience without sacrificing information completeness.
Solution Approach 2:
The system incorporates feedback mechanisms where search results are filtered based on location and type parameters extracted from the query. The search process uses the provided location and type information to feedback-filter the image results, ensuring that only images matching both the visual content and the specified location/type criteria are returned. This feedback loop eliminates irrelevant results while maintaining completeness of relevant information.
3Reliability
If the system processes and compares all images in the database during each search, then thorough matching is achieved, but the processing complexity and time increase
Solution Approach 1:
The patent segments the image database into organized collections based on location-defined files, with each image tagged with metadata indicating its source file and type. This segmentation allows the search system to first filter images by location and type parameters before performing visual content comparison. This two-stage approach maintains thorough matching accuracy while reducing processing complexity by eliminating the need to compare every image in the entire database.
Solution Approach 2:
The system performs preliminary indexing and categorization of images by location and type during the pre-processing phase. This preliminary organization creates a structured search database where images are grouped and tagged according to their source location-defined files. During actual search operations, this pre-established structure enables efficient filtering and comparison, maintaining match accuracy while significantly reducing processing complexity and time.
Data Source
AI summary
An information delivery system has a computational device connected over a network with a server and associated storage device. The computational device is configured with functionality that generates a message requesting information relating to a particular geolocation that is stored in association with the server. The server identifies one or more files corresponding to the location information in the message and delivers them to the computational device, which compares information in the files with a visual image relating to an object selected by a computational device user and with an object type relating to the visual image, and displays information in a file if the visual image selected by the user matches visual image information in the file.