Imaging Control Apparatus Subject Position Evaluation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In automatic imaging systems, it is difficult to ascertain the quality of the captured video without visual confirmation, as there is no straightforward method to determine if the subject is properly framed or if the video composition is desirable.
Innovation Solution
An imaging control apparatus and method that includes an obtaining unit to capture images, a detecting unit to identify the subject, an evaluating unit to assess the imaging quality based on the subject's position and a target position, and a transmitting unit to send the image and evaluation results, allowing for remote assessment and quality control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If automatic imaging is performed by tracking a detected subject, then the subject is always contained in the video, but it cannot be easily ascertained whether the subject is properly framed or the video composition is desirable
Solution Approach 1:
The system calculates an evaluation value that quantifies video quality based on subject position, framing, and composition criteria, then feeds this evaluation back to determine whether to distribute the video. This feedback mechanism enables automated quality assessment without requiring visual confirmation of each video.
Solution Approach 2:
An evaluation value serves as an intermediary between the automatic imaging process and video distribution decisions. This numerical indicator mediates the quality assessment, allowing the system to determine video suitability without direct visual inspection.
2Measurement precision
If visual observation of captured video is performed to confirm subject containment, then accurate quality assessment is achieved, but time and operational complexity increase
Solution Approach 1:
The system performs self-assessment by automatically calculating evaluation values based on detected subject positions and predefined quality criteria. This self-service mechanism eliminates the need for external visual verification, reducing time and operational overhead while maintaining assessment accuracy.
3Adaptability or versatility
If multiple imaging apparatuses are used to capture videos, then coverage and options increase, but it becomes more difficult to select and distribute appropriate videos
Solution Approach 1:
The system uses evaluation values as quantitative parameters to compare and rank videos from multiple imaging apparatuses. By transforming qualitative video quality assessment into comparable numerical parameters, the system simplifies the selection process across multiple devices while maintaining versatility.
Data Source
AI summary
There is provided with an imaging control apparatus. An obtaining unit obtains capturing information that defines a target position of a subject, that is an imaging target, in an image to be captured by an imaging unit. A detecting unit detects the subject that is the imaging target from an image captured by the imaging unit. An evaluating unit derives an evaluation pertaining to the imaging of the imaging target for the image, based on a position of the subject that is the imaging target detected by the detecting unit and the target position. A transmitting unit transmits data including the image and a result of the evaluation derived by the evaluating unit for the image.


