Digital Camera Composition Database Auto-Update
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Solution Overview
Problem
Photographers face inconvenience in manually setting compositions for each shooting scenario, leading to inefficiencies in capturing images that meet their preferences.
Innovation Solution
A digital photographing apparatus that automatically learns and updates a composition database by counting user preferences, rearranging compositions based on frequency of use, and recognizing scene and user-specific patterns to suggest optimal compositions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manually setting compositions for each shooting scenario, then composition precision can be controlled, but operation time and effort increase
Solution Approach 1:
The system automatically learns user preferences by counting composition selections and updates the composition database without manual intervention. The composition suggestion apparatus autonomously determines preferred compositions based on usage frequency and scene information, eliminating the need for users to manually set compositions for each scenario.
Solution Approach 2:
The system implements feedback by counting the number of times each composition is selected by the user and using this information to update the composition database. The composition suggestion apparatus uses this feedback data to determine preferred compositions and adjust future suggestions, creating a continuous improvement loop.
2Manufacturing precision
If manually setting compositions for each shooting scenario, then composition accuracy can be maintained, but ease of operation decreases
Solution Approach 1:
The composition suggestion apparatus serves itself by automatically learning user preferences and generating composition suggestions without requiring user input for each scenario. The system maintains composition accuracy by continuously refining its understanding of user preferences through usage counting and database updates.
Solution Approach 2:
The system performs preliminary action by pre-determining preferred compositions based on historical usage data before the user needs to take a photograph. The composition database is updated in advance with learned preferences, so when a new shooting scenario arises, the system can immediately suggest appropriate compositions without requiring manual selection.
3Ease of operation
If using automatic composition learning, then ease of operation improves, but device complexity increases
Solution Approach 1:
The system achieves ease of operation through self-service mechanisms where the composition suggestion apparatus automatically learns and adapts to user preferences without external intervention. The counting apparatus and database update mechanisms operate autonomously, reducing the burden on the user while managing system complexity internally.
Solution Approach 2:
The system uses copying by creating a digital representation of user preferences in the composition database. Instead of complex real-time analysis, the system copies historical usage patterns into the database and retrieves appropriate compositions based on these stored patterns, simplifying the overall system architecture.
4Productivity
If compositions are rearranged by frequency of use, then productivity increases, but measurement precision requirements increase
Solution Approach 1:
The system uses feedback from user composition selections to drive the rearrangement process. The counting apparatus measures usage frequency, and this feedback is used to sort compositions in the database from most to least preferred, enabling the system to quickly present the most relevant compositions first and improve productivity.
Data Source
AI summary
A method and apparatus update a composition database for storing information for setting a composition. The method includes extracting and displaying at least one composition stored in the composition database, counting a composition selected by a user from among the at least one composition, and updating the composition database according to the result of the count. According to the method, compositions selected by a user from among compositions displayed on a screen are counted, and the result of the count is reflected on the composition database. Accordingly, compositions are displayed in a user-centered manner and photographing convenience is increased, a digital photographing apparatus automatically learns compositions preferred by a user during photographing so as to automatically display the compositions preferred by the user, and a composition based on a pattern of the user is suggested instead of a composition according to a certain place or scene.