Screen Capture Crop Recommendation Using Object and Task History
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Solution Overview
Problem
Users of electronic devices face the challenge of having to manually select capture formats and subsequent tasks for screen captures, which can be cumbersome and inefficient.
Innovation Solution
An electronic device that stores information about cropped objects and their associated tasks, allowing it to automatically recommend optimal capture areas and tasks based on historical usage patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the user manually selects capture formats and subsequent tasks for screen captures, then the system can perform various functions, but the user input requirement increases and operation becomes cumbersome
Solution Approach 1:
The system performs preliminary action by automatically analyzing the captured screen content to identify objects and determining appropriate capture formats and subsequent tasks before the user needs to manually select. The processor analyzes the screen, identifies relevant objects, and pre-determines the optimal capture format and task based on the analyzed content, eliminating the need for manual user selection.
Solution Approach 2:
The system implements self-service by enabling the screen capture function to automatically determine its own parameters and subsequent actions without user intervention. The processor self-analyzes the captured content, self-determines the appropriate capture format, and self-selects the subsequent task, allowing the system to serve itself rather than requiring continuous user guidance.
2Adaptability or versatility
If the user manually selects capture formats and tasks, then the system can adapt to user needs, but the time required for screen capture increases
Solution Approach 1:
The system performs preliminary analysis of the captured screen content to identify objects and determine appropriate tasks before the user needs to manually select. The processor analyzes the screen, identifies relevant objects, and pre-determines the optimal capture format and task based on the analyzed content, eliminating the need for manual user selection and reducing overall time.
Solution Approach 2:
The system implements feedback by continuously analyzing the captured screen content and using this information to automatically adjust capture parameters and select subsequent tasks. The processor receives the captured screen, analyzes it to identify objects, and provides feedback by automatically determining the appropriate capture format and task, creating a closed-loop system that adapts without user input.
3Extent of automation
If the system stores history of cropped objects and tasks, then automatic recommendations can be generated, but device complexity increases
Solution Approach 1:
The system performs preliminary storage of historical data about cropped objects and tasks during the screen capture process. The processor stores information about objects identified in previous captures and the tasks performed on them, creating a history database that enables automatic recommendations in future captures without requiring complex real-time analysis.
Solution Approach 2:
The system uses copying by storing historical data as a database of past capture patterns and object information. This copied historical information is then referenced during new capture operations to generate automatic recommendations, allowing the system to leverage past experiences without requiring complex real-time decision-making algorithms.
Data Source
AI summary
According to an embodiment, an electronic device may comprise: a display, a memory, and at least one processor, wherein the at least one processor is configured to: store, as a crop use pattern in the memory, a history of information relating to at least one first object included in a cropped area of a first screen captured by a first screen capture trigger and a history of a first task executed with respect to the cropped area; identify a second screen capture trigger while the display is displaying a second screen; in response to the second screen capture trigger, analyze at least one second object included in the second screen; based on the at least one second object and the crop use pattern, display a recommended crop area, including at least one third object that is at least a part of the at least one second object, visually differently from the remaining area of the second screen; and based on the crop use pattern, display at least one recommended task executable for the at least one third object.