Contextual Media Retrieval Interface for Mobile Devices
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Solution Overview
Problem
As media libraries grow, existing techniques for retrieving contextually relevant media content are cumbersome and inefficient, requiring extensive manual navigation and wasting user time and device resources, particularly in battery-operated devices.
Innovation Solution
The development of faster and more efficient methods and interfaces for displaying contextually relevant media content, which determine the device context to display appropriate collections of media items sharing common characteristics, reducing unnecessary inputs and conserving battery power.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If media libraries are arranged in chronological order, then all media items can be stored and organized, but users must peruse large numbers of media directories to find relevant content, wasting time and device resources
Solution Approach 1:
The system automatically generates contextually relevant media collections based on detected contexts (locations, events, people) without requiring manual user organization or search queries. The device serves itself by autonomously analyzing media metadata and presenting relevant content, eliminating the need for users to manually browse through chronological directories.
2Ease of operation
If existing techniques are used to retrieve contextually relevant media, then relevant content can be found, but the process is cumbersome and requires extensive manual navigation
Solution Approach 1:
The patent extracts and highlights only the most relevant media collections based on detected context, separating them from the rest of the media library. Instead of presenting all media or requiring users to navigate complex directory structures, the system extracts and displays only contextually relevant collections (e.g., media from a specific location, event, or involving specific people), simplifying the user interface and interaction.
3Reliability
If manual navigation through media directories is required, then users can locate relevant content, but unnecessary device operations consume battery power
Solution Approach 1:
The system performs preliminary analysis of media metadata (locations, events, people, dates) and pre-organizes media into contextually relevant collections before user requests. When a user provides context (e.g., a location or event name), the system can quickly retrieve pre-organized collections without performing extensive searches or navigation operations, thereby reducing battery consumption while maintaining retrieval accuracy.
Data Source
AI summary
The present disclosure generally relates to retrieving and displaying contextually-relevant media content. In some embodiments, a device receives a request to display contextually-relevant media and, in response, displays a representation of a collection of media items relevant to a context of the device. In some embodiments, a device displays a visual media item of a sequence of items and, in response to receiving a swipe gesture, displays a detail user interface comprising related content for the media item. In some embodiments, a device, while displaying a first detail user interface, displays an affordance corresponding to a plurality of individuals identified as having attended a first event, that when selected, causes display of visual media corresponding to a plurality of events attended by the individuals. In some embodiments, a device, in response to user input, obtains an automatically-generated collection of visual media and displays a corresponding affordance.