Location-Based Timeline Media Collections Using Geohash Thresholds

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing social networking systems struggle to accurately generate graphical media content collections from user-generated photos and videos captured at locations other than the current home location due to data privacy concerns, leading to increased data usage, power consumption, and inaccurate content organization.

Innovation Solution

A system that analyzes the location and time of each media content item to determine the prior home location by setting a precision level threshold, allowing it to differentiate between media items captured at the current and prior home locations, thereby generating accurate timeline media content collections.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If the system analyzes all media content items to determine prior home location, then content organization accuracy is improved, but data usage and power consumption increase

Engineering Contradiction:

Improvecontent organization accuracyVSAvoidpower consumption

Core Design Contradiction:

Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The system segments media content items into two subsets based on geohash precision threshold comparison. By dividing the analysis workload into targeted segments (only items exceeding the threshold require detailed location analysis), the system maintains high content organization accuracy while significantly reducing the computational energy required compared to analyzing all media items uniformly.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system changes the parameter of precision level threshold to differentiate between media items captured at current versus prior home locations. By adjusting this threshold parameter, the system can control the balance between analysis accuracy and energy consumption, processing only those items that exceed the threshold with full analytical rigor.

Inventive Principle:

Principle #35Parameter changes

2Measurement precision

If the system processes all media content items with high precision, then content collection accuracy is improved, but processing demands increase

Engineering Contradiction:

Improvecontent collection accuracyVSAvoidprocessing demands

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system segments media content items into two distinct groups: those captured at current home location and those captured at prior home location. This segmentation is achieved by comparing geohash values against stored precision thresholds, allowing the system to maintain high content collection accuracy while reducing processing demands by avoiding redundant analysis of items that clearly match current location patterns.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system applies partial action by analyzing only the subset of media content items that exceed the precision level threshold rather than processing all items with equal depth. This selective processing approach maintains accurate content collection for trip-related media while reducing overall processing complexity and resource requirements.

Inventive Principle:

Principle #16Partial or excessive action

3Measurement precision

If the system stores detailed location history for all media items, then location-based content organization is improved, but data usage increases

Engineering Contradiction:

Improvelocation-based content organizationVSAvoiddata usage

Core Design Contradiction:

Measurement precisionVSQuantity of substance

Solution Approach 1:

The system extracts only the essential location information (geohash precision threshold) needed for content organization rather than storing complete location histories for all media items. By taking out only the critical precision threshold data and comparing it against captured location information, the system achieves accurate location-based content organization while minimizing data storage requirements.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

Instead of storing detailed location data for all media items and then filtering, the system inverts the approach by storing minimal precision threshold data and comparing captured location information against this threshold. This inversion reduces data usage by storing only what is necessary for accurate content organization rather than storing comprehensive location histories.

Inventive Principle:

Principle #13The other way round (Inversion)

Data Source

PatentUS12455917B2Location-based timeline media content system

Publication Date: 2025.10.28 SNAP INC

AI summary

Systems and methods for receiving a set of media content items including a geohash defining a captured time and a captured location of the media content item, identifying a first subset of media content items from the set of media content items comprising a geohash that equals a precision level threshold, and identifying a second subset of media content items from the set of media content items that include a geohash that exceeds the precision level threshold. The system also includes generating a timeline media content item collection including the second subset of media content items each including a geohash that exceeds the precisions level threshold, and causing display of a media content collection interface, the media content collection interface including the timeline media content item collection.