Image Feature Content Linking System
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Solution Overview
Problem
Conventional methods for correlating documents with image features, such as aerial imagery or geographical maps, are cumbersome due to the vast number of documents containing relevant information, requiring manual processing and keyword searches to identify pertinent content.
Innovation Solution
A system and method for linking content to individual image features, where a computing device identifies sections of an image, determines associated features, retrieves relevant content from a repository, and presents it based on predefined rules, allowing users to interactively select image sections and filter results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If conventional keyword search methods are used to correlate documents with image positions, then document-retrieval capability is maintained, but processing complexity and time consumption increase significantly due to the vast number of documents containing relevant information
Solution Approach 1:
The patent segments the image into multiple sections and identifies specific features within each section. By linking content to individual image features rather than searching through all documents, the system divides the large-scale document processing task into smaller, feature-specific retrieval operations, significantly reducing processing time and complexity
Solution Approach 2:
The patent introduces image features as an intermediary between the image and the content repository. Instead of directly searching documents for image correlations, the system uses identified image features as mediators to link and retrieve relevant content, simplifying the correlation process
2Loss of information
If all documents containing information about a physical location are processed, then complete information coverage is achieved, but the effort and resources required become cumbersome and impractical
Solution Approach 1:
The patent extracts and identifies specific features from image sections that are directly relevant to content correlation. By focusing only on these extracted features rather than processing all documents about a location, the system maintains information coverage while dramatically reducing processing effort
Solution Approach 2:
The patent applies local quality by linking content specifically to identified features within particular image sections rather than treating the entire image or all related documents uniformly. This targeted approach ensures relevant information is captured while avoiding unnecessary processing of unrelated content
Data Source
AI summary
A method, computer program, and system for linking content to individual image features are provided. A section of an image is identified. A plurality of features associated with the section of the image is determined. Each of the plurality of features corresponds to at least one position within the section of the image. Content associated with the plurality of features is retrieved from a content repository. The content is linked to the plurality of features based on at least one rule. The content is then presented.


