Context-Aware Media Curation for Relevant AR Overlays
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Solution Overview
Problem
Existing augmented reality systems lack the ability to curate media content based on user context, such as location and temporal data, leading to a suboptimal user experience in presenting media overlays and filters.
Innovation Solution
A context-based media curation system that identifies user context through image analysis, categorizes objects, and retrieves relevant media content from a repository to create personalized and interactive media overlays and filters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If augmented reality systems present media overlays and filters without context-based curation, then the system complexity is reduced, but the user engagement and relevance of media content deteriorates
Solution Approach 1:
The system performs preliminary analysis of user context (location, time, activity) and pre-curates media content before the user actually requests or needs it. This allows the system to have relevant media ready in advance, improving user engagement without adding complexity during the actual media delivery moment
Solution Approach 2:
The patent introduces a media curation system that acts as an intermediary between the user and the media repository. This intermediary automatically analyzes context and selects appropriate media, shielding the user from the complexity of media selection while improving engagement through personalized content
2Measurement precision
If the system curates media content based on multiple context parameters, then the relevance of media content is improved, but the processing time and computational resources increase
Solution Approach 1:
The system pre-processes and analyzes user context parameters in advance, building user profiles and context models before media requests occur. This preliminary analysis reduces the computational burden during actual media retrieval, maintaining high relevance while reducing processing time
Solution Approach 2:
The media curation system dynamically adjusts the level of context analysis based on the situation. Not all context parameters are analyzed with equal depth for every request - the system adapts its processing intensity to balance relevance and processing time in real-time
Data Source
AI summary
A media curation system configured to perform operations that include, capturing an image at a client device, wherein the image includes a depiction of an object, identifying an object category of the object based on the depiction of the object within the image, accessing media content associated with the object category within a media repository, generating a presentation of the media content, and causing display of the presentation of the media content within the image at the client device.