Camera Robot Scene-Based Control for Precise Video Shooting

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Solution Overview

Problem

Current video sequence shooting methods require experienced cinematographers and manual guidance, leading to inefficiencies and increased production costs due to the need for precise camera movements and adjustments, often resulting in multiple attempts to achieve the desired shot.

Innovation Solution

A method for controlling a camera robot that determines characteristic shooting scenes and adjusts control parameters, allowing for automated camera travel and orientation, using either user input or machine learning to select and apply optimal control parameters for efficient video sequence shooting.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual guidance by cinematographer is used, then camera movement precision can be achieved, but shooting efficiency decreases and production time increases

Engineering Contradiction:
Improvecamera movement precisionVSAvoidshooting efficiency
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The camera robot system performs self-guidance through automated scene analysis and parameter determination. The control unit automatically determines characteristic shooting scenes from captured images and selects appropriate control parameters without requiring manual cinematographer intervention, enabling the system to serve itself while maintaining precision and improving efficiency

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical manual operation system with an automated control system. The control unit uses image processing and scene recognition algorithms to substitute the cinematographer's manual guidance, transforming the mechanical control process into an automated electronic control process that determines camera movement parameters based on analyzed shooting scenes

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If experienced cinematographer with concentration is used, then optimal shooting effects can be achieved, but production costs increase

Engineering Contradiction:
Improveshooting qualityVSAvoidproduction complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system automatically determines shooting scene characteristics and selects control parameters without requiring experienced cinematographers. The control unit performs self-service by analyzing images, identifying scene types (e.g., talking head, interview, presentation), and autonomously selecting appropriate camera movement parameters, thereby eliminating the need for skilled manual operation while maintaining shooting quality

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system creates and uses a database of characteristic shooting scenes and their corresponding optimal control parameters. By copying and storing successful shooting patterns from various scene types, the system can reproduce optimal shooting effects automatically without requiring the original cinematographer's expertise, reducing production complexity while maintaining reliability

Inventive Principle:
Principle #26Copying

3Reliability

If multiple shooting attempts are made, then desired result can be achieved, but production time increases

Engineering Contradiction:
Improveshooting success rateVSAvoidproduction time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The control unit performs preliminary analysis of the shooting scene by processing captured images before actual shooting begins. It determines the characteristic shooting scene type and pre-selects appropriate control parameters for camera movement, ensuring that the first shooting attempt is optimized and reduces the need for multiple retakes, thereby saving production time while maintaining success rate

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system uses feedback from image analysis to continuously optimize shooting parameters. The control unit monitors the captured images, determines scene characteristics, and adjusts control parameters accordingly, creating a closed-loop system that ensures optimal shooting conditions are achieved before and during the shooting process, reducing the need for multiple attempts

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS20240314440A1Method for Controlling a Camera Robot
Publication Date: 2024.09.19 ROBIDIA GMBH
  • US20240314440A1 patent drawing
  • US20240314440A1 patent drawing
  • US20240314440A1 patent drawing

AI summary

The invention relates to a method for controlling a camera robot for shooting a video sequence, the camera robot includinga chassis that can be moved on a surface;a camera for shooting the video sequence;a holding device for connecting the camera to the chassis as well as for orienting the camera relative to the chassis; anda control unit configured to control the chassis, the holding device and/or the camera;the method including the following stepsdetermining a characteristic shooting scene; anddetermining control parameters of the control unit depending on the determined characteristic shooting scene.