Geo-tagged Photo Trip Pattern Reconstruction

Solution Overview

Problem

The increasing number of digital photos posted online, even when geo-tagged, makes it difficult to search and organize memorable moments and scenes from trips, as existing techniques are time-consuming and inefficient for reconstructing sequences of photos taken at various locations.

Innovation Solution

Techniques for reconstructing photo trip patterns by mining geo-tagged photos using geographical information and timestamps, segmenting photos based on location gaps and timestamps, and extracting semantics from tags to identify frequent patterns and trip semantics.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If manual organization of geo-tagged photos is performed, then photo organization accuracy is improved, but time consumption increases significantly

Engineering Contradiction:

Improvephoto organization accuracyVSAvoidtime consumption

Core Design Contradiction:

Manufacturing precisionVSLoss of time

Solution Approach 1:

The system automatically reconstructs trip patterns by utilizing geo-tag information and timestamps embedded in photos themselves, without requiring manual intervention. The algorithm self-organizes photos into trip sequences based on spatial-temporal relationships, making the system self-sufficient in performing the organization task.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical organization with an automated computational system that processes geo-tag data and timestamps. The algorithm automatically identifies location gaps and temporal sequences, substituting human effort with machine-based spatial-temporal analysis.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Ease of operation

If existing photo organization techniques are used, then photo sequencing is achieved, but efficiency decreases due to time-consuming processes

Engineering Contradiction:

Improvephoto sequencing capabilityVSAvoidorganization efficiency

Core Design Contradiction:

Ease of operationVSProductivity

Solution Approach 1:

The system automatically reconstructs trip patterns by utilizing geo-tag information and timestamps embedded in photos themselves, without requiring manual intervention. The algorithm self-organizes photos into trip sequences based on spatial-temporal relationships, making the system self-sufficient in performing the organization task.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent changes the organizational parameters from manual categorization to automated spatial-temporal analysis. By utilizing geo-tag coordinates and timestamp data as key parameters, the system efficiently sequences photos based on location gaps and time intervals, dramatically improving organization speed and efficiency.

Inventive Principle:

Principle #35Parameter changes

3Measurement precision

If manual reconstruction of trip sequences is performed, then accurate trip patterns are obtained, but the process becomes too time-consuming for large photo collections

Engineering Contradiction:

Improvetrip pattern accuracyVSAvoidreconstruction time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent replaces manual mechanical organization with an automated computational system that processes geo-tag data and timestamps. The algorithm automatically identifies location gaps and temporal sequences, substituting human effort with machine-based spatial-temporal analysis.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent changes the organizational parameters from manual categorization to automated spatial-temporal analysis. By utilizing geo-tag coordinates and timestamp data as key parameters, the system efficiently sequences photos based on location gaps and time intervals, dramatically improving organization speed and efficiency.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS8626699B2Construction of photo trip patterns based on geographical information

Publication Date: 2014.01.07 MICROSOFT TECHNOLOGY LICENSING LLC

AI summary

Techniques for reconstructing photo trip patterns from geo-tagged photos are described. Photo trip patterns are reconstructed by mining geo-tagged photos from the Web or a data storage and segmenting the photos based on at least the geographical identification information associated with the photos. Mining semantics of each photo trip pattern may also be performed using tags associated with the photos.