Moment Data Structure Merging Photos Audio Location
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Solution Overview
Problem
Current media systems lack the ability to dynamically generate and associate diverse content items, such as photos, audio, and geographic information, in a cohesive manner, particularly during photo capture processes, limiting the user experience in sharing and replaying moments.
Innovation Solution
A method and system that generate moments by detecting photo capture processes, determining and associating various content items like audio and geographic information, and dynamically configuring user interfaces for presentation, enabling users to identify, access, and share these moments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If media systems only store and display individual photos, then the system structure remains simple, but the user experience and contextual richness of moments are insufficient
Solution Approach 1:
The patent merges multiple content items (photos, videos, audio recordings, geographic data, social media posts) into a unified moment structure. This combining approach enriches the contextual representation of moments while maintaining a consistent data model that manages diversity through standardization.
Solution Approach 2:
The moment data structure serves as a universal container that can hold various types of content items with different formats and sources. This multi-functional design allows the system to accommodate diverse media without requiring separate handling mechanisms for each content type.
2Loss of information
If the system automatically determines and associates content items, then the completeness of moment representation improves, but the processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by pre-establishing relationships between content items and moments during the content capture and upload phase. Metadata is extracted and associations are built in advance, reducing the computational burden during moment generation and retrieval operations.
Solution Approach 2:
The system uses feedback mechanisms where content items automatically trigger moment creation or association updates. When new content is uploaded, the system detects relevant moments and establishes connections accordingly, creating an adaptive process that improves completeness over time with minimal additional processing.
3Ease of operation
If the system dynamically configures user interfaces based on content types, then the user experience and content presentation quality improve, but the interface complexity and rendering overhead increase
Solution Approach 1:
The user interface dynamically adapts its configuration based on the content types detected in moments. The system automatically determines which UI components to display (image viewer, video player, audio player, map) based on the moment's content composition, creating a flexible and responsive interface that enhances user experience.
Solution Approach 2:
The interface configuration changes parameters such as displayed components, layout arrangements, and interaction modes based on the detected content types. This parameter-driven adaptation allows the system to optimize the UI for different content combinations without requiring manual configuration or complex custom rendering for each scenario.
Data Source
AI summary
Implementations generally relate to generating moments. In some implementations, a method includes generating a moment, where the moment includes one or more visual content items. The method further includes determining one or more other types of content items in response to the generating of the moment. The method further includes associating the one or more other types of content items with the moment.