Augmenting Field of View via Geospatial Entity Matching
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Solution Overview
Problem
Conventional GPS and LBS systems lack the granularity to understand a user's real context and provide personalized information relevant to their current location and field of view.
Innovation Solution
An architecture that enhances the field of view experience by receiving and processing images of a local environment, matching entities in the image to a geospatial model, and overlaying additional content such as directions, information, or advertisements, even for occluded entities, to provide a more personalized and contextual experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS and LBS systems are used to provide location-based information, then users can receive directions and service information at street-level scale, but the systems lack the granularity to understand user's real context and provide personalized information
Solution Approach 1:
The patent segments the monolithic GPS/LBS system into multiple specialized modules: image capture module, entity recognition module, geospatial model matching module, and content delivery module. Each module handles a specific aspect of context understanding, from capturing visual data to matching entities and delivering personalized content. This segmentation enables fine-grained context analysis without overwhelming system complexity.
Solution Approach 2:
The patent introduces a visual dimension by integrating image capture and processing capabilities alongside traditional GPS coordinates. Instead of relying solely on 2D map coordinates, the system adds the dimension of visual field-of-view data, allowing it to understand what the user is actually seeing and contextualize location information within the user's visual perspective.
2Adaptability or versatility
If the system overlays additional content on the user's field of view, then users receive personalized and contextual information, but the processing and matching requirements increase system complexity
Solution Approach 1:
The patent implements preliminary action by pre-building and storing geospatial models that contain detailed information about entities, features, and content associations. Before the user even arrives at a location, the system has already organized relevant information in structured models, enabling rapid matching and personalized content delivery without complex real-time processing.
Solution Approach 2:
The patent introduces geospatial models as an intermediary layer between the user's field-of-view data and the content delivery system. These models act as a mediator that pre-processes and organizes information about locations, entities, and associated content, simplifying the matching process and reducing the computational complexity of delivering personalized information.
Data Source
AI summary
The claimed subject matter relates to an architecture that can enhance an experience associated with indicia related to a local environment. In particular, the architecture can receive an image that depicts a view of the local environment including a set of entities represented in the image. One or more of the entities can be matched or correlated to modeled entities included in a geospatial model of the environment, potentially based upon location and direction, in order to scope or frame the view depicted in the image to a modeled view. In addition, the architecture can select additional content that can be presented. The additional content typically relates to services or data associated with modeled entities included in the geospatial model or associated with modeled entities included in an image-based data store.