Camera Control Apparatus Using Annotation Feedback
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Solution Overview
Problem
Existing shooting apparatuses do not automatically reflect attention points noticed by staff, such as directors, during shooting operations when repeating similar situations, leading to inefficiencies in camera operations.
Innovation Solution
A control apparatus and method that acquire user annotation information from a first image shot, convert it into camera commands, and execute these commands during subsequent image shots, allowing for automatic reflection of attention points in camera operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual camera operations are performed based on recorded information from past shooting, then camera operators can handle unpredictable situations, but the process is time-consuming and lacks automation
Solution Approach 1:
The system records attention points and annotation information from past shooting operations and feeds this information back to automatically generate camera commands for future similar situations. This creates a closed-loop system where past human expertise is captured and reused, reducing manual operation time while maintaining operational quality.
Solution Approach 2:
The shooting apparatus automatically performs camera operations by executing generated commands based on previously recorded attention points, eliminating the need for manual intervention in routine situations. The system serves itself by learning from past operations and applying that knowledge automatically.
2Adaptability or versatility
If scenario data is rewritten based on shooting state deviations, then shooting technique changes are supported, but user attention points are not automatically reflected in subsequent shooting
Solution Approach 1:
The system captures attention points and annotation information from user input during shooting and automatically feeds this back into the scenario data for future reference. This ensures that user observations and corrections are systematically incorporated into automated decision-making for subsequent similar shooting situations.
Solution Approach 2:
The patent replaces manual mechanical processes of reviewing and applying attention points with an automated information processing system. The control apparatus automatically converts annotation information into camera commands, eliminating the need for manual review and application of user feedback.
3Reliability
If multiple shots are taken for each scene to select the optimal shot, then shooting quality is improved, but the shooting process becomes repetitive and inefficient
Solution Approach 1:
The system performs preliminary analysis of shooting conditions and automatically generates appropriate camera commands based on previously recorded attention points before each shot. This preliminary preparation reduces the need for multiple retakes by ensuring optimal shooting parameters are applied from the start, thereby improving both quality and efficiency.
Solution Approach 2:
The system dynamically adjusts camera parameters based on the current shooting situation and previously learned patterns from attention points. By optimizing parameters in advance based on historical data, the system reduces variability between shots and minimizes the need for multiple takes.
Data Source
AI summary
A control apparatus includes: an acquisition unit adapted to acquire annotation information input by a user with respect to a first image shot by a shooting unit; a conversion unit adapted to convert the annotation information into a camera command defining an operation of the shooting unit; and an execution unit adapted to cause the shooting unit to execute an operation based on the camera command when shooting a second image shot after the first image.