Image Processing Apparatus Destination Transit Classification
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Solution Overview
Problem
Existing image management systems struggle to effectively classify and display images taken during long trips, where transit points and destinations are often misclassified, reducing viewability and making it difficult to extract relevant image data.
Innovation Solution
An image processing apparatus and method that acquires location and date/time information for each image, determining whether the photographed point is a main destination or transit point based on preset conditions, and records this information as metadata to facilitate easy classification and extraction of desired image data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If images are classified by GPS location information alone, then automatic classification is achieved, but images taken during travel through multiple locations are scattered across different folders reducing viewability
Solution Approach 1:
The patent changes the classification parameter from simple GPS coordinates to a hierarchical structure combining destination information (city/region names) with transit point information. This allows images to be classified not just by exact location but by semantic meaning of the location type, resolving the contradiction between automatic classification and viewability.
Solution Approach 2:
The patent introduces an intermediary classification layer (destination vs. transit point) between the raw GPS data and the final folder structure. This intermediary layer interprets the GPS information and assigns images to appropriate categories, preventing scattering of related images while maintaining automatic classification.
2Measurement precision
If images are classified into multiple folders based on different photographing locations, then location accuracy is improved, but organization complexity increases and viewability decreases
Solution Approach 1:
The patent segments the classification system into two distinct parts: destination classification (for main photographed points) and transit point classification (for intermediate locations). This segmentation allows precise location tracking while organizing images in a manageable hierarchical structure rather than creating numerous flat folders.
Solution Approach 2:
The patent adds a temporal dimension to the location classification by distinguishing between destination (final destination) and transit point (intermediate location during travel). This dimensional addition allows precise location tracking while maintaining organized structure through the destination-transit hierarchy.
3Measurement precision
If transit points and destinations are classified separately, then image extraction accuracy is improved, but processing complexity increases
Solution Approach 1:
The patent performs preliminary classification of photographing points into destination and transit point categories during the image processing stage. This preliminary action enables accurate image extraction later by pre-organizing images according to their location type, reducing the complexity of subsequent extraction operations.
Data Source
AI summary
Provided is an image processing apparatus comprising: an acquisition unit that acquires location information indicating a photographed point and date/time information indicating a photographed date/time for each of a plurality of images representing image data obtained by photographing; a determination unit that determines whether the photographed point of each image is a main photographed point or a sub-photographed point on the basis of the location information and the date/time information; and a recording unit that, if the photographed point of the image is the main photographed point, records information indicating the location of the main photographed point in association with the image data of the image, and that, if the photographed point of the image is the sub-photographed point, records information indicating the locations of the sub-photographed point and of the main photographed point in association with the image data of the image.