Photographer Information Acquisition for Image Processing Intent
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Solution Overview
Problem
Existing image processing systems fail to accurately reflect the photographer's intentions based on actions performed before taking an image, lacking integration of photographer information to tailor image processing contents such as composition confirmation, imaging preparation, and movement data.
Innovation Solution
An information processing apparatus that acquires photographer information including composition confirmation, imaging preparation, and device movement, using this data to decide image processing contents like trimming and synthesis ranges, and classifying images based on importance and attention points.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If photographer information is integrated to decide image processing contents, then accuracy of reflecting photographer's intentions is improved, but device complexity increases
Solution Approach 1:
The system segments photographer information into distinct categories: composition confirmation status, imaging preparation operations, device position data, elapsed time measurements, and movement information. Each segment is processed independently by dedicated functional modules that determine specific processing parameters, allowing complex photographer intentions to be broken down into manageable decision components that reduce overall system complexity while maintaining high accuracy
Solution Approach 2:
The system introduces an intermediary processing layer that receives raw photographer information from multiple sensors and operations, integrates this data, and translates it into standardized image processing parameters. This intermediary layer acts as a mediator between the diverse input data sources and the final image processing execution, simplifying the integration process while preserving the nuanced photographer intentions
2Measurement precision
If composition confirmation is performed, then image processing accuracy is improved, but imaging time increases
Solution Approach 1:
The system performs composition confirmation as a preliminary action before the actual image capture. By detecting whether the photographer has confirmed composition in advance and storing this information, the system prepares processing parameters beforehand, allowing rapid processing execution without requiring time-consuming analysis during the imaging moment itself
Solution Approach 2:
The system dynamically adjusts the image processing approach based on the composition confirmation status. When composition is confirmed, the system applies specific processing rules centered on the confirmed composition area; when not confirmed, it uses alternative methods based on main subject detection. This dynamic adaptation allows the system to optimize processing accuracy while minimizing time loss by selecting the most efficient path for each situation
3Manufacturing precision
If trimming range is restricted to maintain predetermined size, then image quality is preserved, but adaptability to different photographer intentions is reduced
Solution Approach 1:
The system dynamically determines trimming ranges based on real-time photographer information including composition confirmation status, device movement, and elapsed time. When composition is confirmed and the photographer intends to capture a specific composition, the system restricts trimming to maintain quality. When composition is not confirmed or movement indicates casual shooting, the system allows more flexible trimming. This dynamic approach maintains image quality when needed while providing adaptability for different shooting scenarios
4Measurement precision
If multiple photographer information parameters are collected, then processing decision accuracy is improved, but information processing complexity increases
Solution Approach 1:
The system segments multiple photographer information parameters into distinct functional categories: composition confirmation status, imaging preparation operations, device position coordinates, elapsed time intervals, and movement vectors. Each segment is processed by dedicated functional modules that evaluate specific parameters and generate corresponding processing decisions, reducing the complexity of integrating all parameters simultaneously while maintaining high processing decision accuracy through coordinated module outputs
Data Source
AI summary
This invention enables an intention of a photographer to be reflected with greater accuracy in image processing based on actions performed by the photographer when taking an image. Based on user information acquired by a user information acquisition section, supplementary information such as whether a composition flag is on or off and assignment of an image classification is recorded with an image. Based on the supplementary information, various types of image processing such as setting an image trimming range, imparting an effect, and arranging an image on a mount are performed.