Contextual Media Retrieval via Pre-computed Groupings
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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 user navigation and consuming time and device resources, particularly in battery-operated devices.
Innovation Solution
The development of faster and more efficient methods and interfaces for electronic devices to display contextually relevant media content by determining device contexts and displaying relevant media items with shared characteristics, reducing unnecessary inputs and conserving battery power.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If media libraries are arranged in chronological order by default, then media items are systematically organized, but users must peruse large numbers of media directories to find contextually relevant content, wasting time and device resources
Solution Approach 1:
The system pre-processes and analyzes media items to identify contextual relationships and groupings before user queries are submitted. By performing this analysis in advance, the system creates ready-to-display contextual groupings that can be immediately presented to users, eliminating the need for time-consuming manual browsing through chronological directories.
Solution Approach 2:
The patent replaces manual mechanical browsing through directories with an automated computational system that uses algorithms to analyze media metadata, identify contextual relationships, and automatically generate and display relevant content groupings. This substitution of automated information processing for manual navigation dramatically reduces the time required to locate contextually relevant media.
2Ease of operation
If existing techniques are used to retrieve contextually relevant content, then comprehensive search capabilities are provided, but complex and time-consuming user interfaces with multiple key presses are required
Solution Approach 1:
The system automatically determines the user's current context by analyzing device state, location, time, and other relevant parameters without requiring explicit user input. The interface then automatically displays contextually relevant media groupings based on this determined context, making the system self-serve the user's information needs without requiring complex navigation or multiple inputs.
Solution Approach 2:
The system pre-determines contextual groupings and prepares them for display before the user actually requests content. When the user interacts with the interface, the relevant content is already organized and ready to be displayed, eliminating the need for multiple sequential inputs or complex navigation steps that would otherwise be required to assemble the information.
3Quantity of substance
If comprehensive media libraries are maintained, then complete archives of user experiences are created, but the libraries become cumbersome to navigate and manage
Solution Approach 1:
The patent segments the large media library into smaller contextual groupings based on shared characteristics such as location, time period, people, or events. Instead of presenting the entire library or requiring users to navigate through all media items chronologically, the system divides the content into manageable contextual segments that are relevant to the current situation, making navigation significantly easier while preserving access to the complete library.
Solution Approach 2:
The system applies different organizational characteristics to different portions of the media library based on contextual relevance. Rather than using a single uniform organization method for the entire library, the patent creates locally optimized viewings where media items are grouped and presented according to the specific context of the query, making the large library navigable through context-appropriate local groupings.
Data Source
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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.