Photo Organization Using GPS Distance and Angle
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Solution Overview
Problem
Existing photo organization methods, especially in cloud storage, fail to effectively identify and categorize special and meaningful photos taken by users, as they lack the ability to recognize geographical and temporal significance.
Innovation Solution
An electronic device and method that utilizes GPS and time information to select, sort, and classify photos into location groups based on moving distances and angles, defining an origin photo and relative photos to automatically organize them into geography-based groups.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If cloud storage automatically organizes photos using conventional schemes (by name, location, or time), then photos are sorted into categories, but the system cannot identify special and meaningful photos for users
Solution Approach 1:
The patent introduces a new dimension for photo organization by calculating moving distance and moving angle based on GPS coordinates, in addition to time information. This creates a spatial movement dimension that transforms conventional 1D time-based sorting into a 3D organization system incorporating time, distance, and direction, enabling the system to identify special photos through movement patterns
Solution Approach 2:
The system changes the organizational parameters from conventional static attributes (name, location, time) to dynamic movement parameters (moving distance, moving angle). By calculating the distance and angle between consecutive photo locations, the system transforms static photo data into dynamic movement trajectories, enabling identification of special photos through movement pattern analysis
2Ease of operation
If users manually organize photos by name, location, or time, then photos are categorized, but users spend significant time and effort on organization
Solution Approach 1:
The system performs self-service by automatically calculating moving distance and moving angle from GPS information embedded in photos, and autonomously classifying photos into location groups based on movement patterns. This eliminates the need for user intervention in the organization process, allowing users to simply capture photos while the system handles all sorting and categorization automatically
3Adaptability or versatility
If photos are organized by conventional methods, then basic categorization is achieved, but geographical location-based grouping with movement analysis is not realized
Solution Approach 1:
The patent segments the photo collection into location groups based on movement patterns. By dividing photos into distinct geographical clusters defined by movement distance and angle thresholds, the system creates manageable segments that can be independently organized and viewed, making the complex task of organizing large photo collections more tractable
Data Source
AI summary
A method, an electronic device, and a computer program product for photo organization are provided, where the method is adapted to an electronic device and includes the following steps. First, multiple photos are obtained, and multiple special photos are selected from the photos, where each of the photos includes time information and GPS information. The special photos are sorted from the earliest to the most recent according to the time information. One of the special photos is defined as an origin photo, and the special photos sorted after the origin photo are defined as relative photos. A moving distance and a moving angle of each of the relative photos with respect to the origin photo are calculated according to the GPS information. The origin photo and the relative photos are classified into multiple location groups according to variations of the moving distances and variations of the moving angles.