Picture Composition Adjustment via Real-Time Feedback
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Solution Overview
Problem
When taking pictures with scenery, the composition often turns out unsatisfactory due to individual differences in photography skills, resulting in wasted time and effort as unsatisfactory images are deleted, leading to lost memories.
Innovation Solution
A computer-implemented method and device that determine if a picture composition needs adjustment based on predefined composition rules, providing an adjusting pattern to users to improve the composition, ensuring better alignment with photography theories and personal preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a person asks another person to take a picture for assistance, then the picture can be captured, but the composition may be unsatisfactory due to individual difference in photography skills
Solution Approach 1:
The system provides real-time feedback by analyzing the picture composition and generating adjustment patterns that indicate how the composition should be modified. The feedback includes specific guidance on moving the camera or adjusting framing to achieve better composition according to photography rules.
Solution Approach 2:
The system enables the photographed person to take pictures themselves with AI assistance rather than requiring another person. The composition adjustment guidance empowers users to independently improve their photography skills through automated analysis and suggestions.
2Manufacturing precision
If unsatisfactory pictures are deleted due to poor composition, then picture quality is maintained, but time and effort are wasted and good mementos are lost
Solution Approach 1:
The system performs composition analysis and provides adjustment patterns before the picture is finally taken or saved. By predicting and guiding composition improvements in advance, the system prevents poor quality pictures from being captured in the first place, eliminating the need for later deletion.
Solution Approach 2:
Real-time composition feedback allows users to immediately see how adjustments would improve the picture, enabling them to make corrections before capturing the final image, thus avoiding wasted time on deleting unsatisfactory pictures later.
3Manufacturing precision
If composition adjustment guidance is provided to users, then picture composition quality improves, but system complexity increases
Solution Approach 1:
The system uses an intermediary AI model to bridge the gap between complex composition analysis and simple user guidance. The AI automatically analyzes the image, determines composition issues, and translates them into easy-to-understand adjustment patterns, shielding users from the underlying complexity.
Solution Approach 2:
The system creates simplified representations of composition problems through adjustment patterns that copy the essential guidance needed without replicating the full complexity of the analysis process. Users interact with simplified visual cues rather than complex analytical data.
Data Source
AI summary
Embodiments of the present disclosure allow user experience of photographing to be improved. In operation, it is determined whether a picture composition of a first object and a second object needs to be adjusted based on a predefined composition rule. If the picture composition needs to be adjusted, an adjusting pattern is determined based on the predefined composition rule. Then, the adjusting pattern is provided to a user to indicate the user to adjust the picture composition based on thereon.