Location-Based Content Delivery Using Imagery Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current information presentation technologies fail to effectively deliver targeted content to users based on location-specific imagery, lacking the ability to identify relevant features and classify locations accurately for personalized content delivery.
Innovation Solution
A system that utilizes location identifiers, imagery identifiers, feature identifiers, and content selectors to determine user locations, identify associated imagery, and deliver content items based on features and classifications, including satellite, aerial, and street view imagery, and considers historical and current conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If location-specific imagery analysis is implemented to enable personalized content delivery, then content relevance and user experience are improved, but system complexity and computational requirements increase
Solution Approach 1:
The system segments the complex task of content delivery into distinct functional modules: location identifier, imagery identifier, feature identifier, location classifier, and content selector. Each module handles a specific aspect of the process, from determining user location to selecting appropriate content, thereby managing system complexity through functional decomposition
Solution Approach 2:
The patent introduces intermediary components that bridge different parts of the system. The location classifier acts as an intermediary between imagery analysis and content selection, translating visual features into location categories that guide content delivery decisions. This intermediary layer simplifies the overall system architecture by creating clear interfaces between modules
2Measurement precision
If multiple types of imagery (satellite, aerial, street view) are analyzed to improve location accuracy, then location identification precision is improved, but processing time and computational resources increase
Solution Approach 1:
The system applies partial action by selectively analyzing only the necessary types of imagery for each specific location identification task. Rather than processing all available imagery types uniformly, the system determines which imagery sources (satellite, aerial, street view) are most relevant for the current query, reducing processing time while maintaining accuracy
Solution Approach 2:
The patent implements preliminary action by pre-processing and organizing imagery data into structured formats before actual queries are made. Imagery is pre-categorized by location and type, with key features extracted in advance. This preparation allows the system to quickly retrieve and analyze only the necessary imagery when a location query is submitted, significantly reducing real-time processing time
3Loss of information
If historical imagery comparison is performed to determine location changes over time, then temporal analysis capability is improved, but data processing complexity and storage requirements increase
Solution Approach 1:
The system extracts only the essential temporal information from historical imagery comparisons rather than storing and processing complete historical datasets. By identifying and extracting key changes (such as land use modifications, building constructions, or environmental changes) over time periods, the system maintains temporal analysis capability while minimizing data storage requirements
Solution Approach 2:
The patent transforms complex imagery data into simplified parameter representations that capture temporal changes. Instead of storing full historical images, the system converts imagery into quantifiable parameters (such as land cover percentages, building density metrics, or change detection scores) that can be efficiently stored and compared across time periods, reducing storage requirements while preserving temporal information
Data Source
AI summary
Methods, systems, and computer program products are provided for determining content items for delivery to users based on imagery. One example method includes determining a location of a user or a location associated with a query submitted by the user, identifying imagery associated with the determined location, and determining one or more content items for delivery to the user based at least in part on the imagery.