AR Content Management via Automatic Still Image Extraction
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Solution Overview
Problem
Existing systems for generating and managing Augmented Reality (AR) content are complex and time-consuming, requiring users to explicitly create markers and register content, making them inaccessible to general users.
Innovation Solution
A content management system that automatically extracts still image data from moving images, detects and analyzes motion, and registers image features to generate management markers, simplifying the process of creating and playing back AR content by associating still images with moving images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If users explicitly create markers and register content for AR management, then content management precision is improved, but device complexity and ease of operation deteriorate
Solution Approach 1:
The system automatically extracts still images from moving images and generates management markers without user intervention. The control device performs automatic person detection, motion analysis, and marker generation, allowing the system to serve itself rather than requiring users to manually create markers and register content.
Solution Approach 2:
The patent replaces manual marker creation processes with automated computer vision and machine learning technologies. Algorithms automatically detect persons, analyze motion trajectories, and generate management markers, substituting mechanical user operations with intelligent automated systems.
2Manufacturing precision
If users explicitly create markers and register content, then content management precision is improved, but loss of time increases
Solution Approach 1:
The system performs automatic marker generation and content registration in advance, before the user needs to access or interact with the AR content. By pre-processing the moving images and generating management markers automatically, the system eliminates time-consuming manual operations when the user actually needs to use the content.
Solution Approach 2:
The automated system performs all marker creation and content registration tasks without requiring user time investment. The control device independently completes the entire workflow from moving image input to management marker generation, freeing users from time-consuming manual processes.
3Ease of operation
If the system automatically extracts still images and generates management markers, then ease of operation is improved, but manufacturing precision may deteriorate
Solution Approach 1:
The patent employs advanced computer vision algorithms and machine learning models to perform automatic person detection and motion analysis. These intelligent systems replace manual marker creation with automated processes that maintain high precision through sophisticated image processing and pattern recognition capabilities.
Solution Approach 2:
The system uses motion analysis to evaluate multiple parameters including person detection confidence, motion trajectory characteristics, and temporal patterns. By analyzing these parameters and selecting frames that optimize both ease of operation and registration accuracy, the system achieves high-quality management markers automatically.
Data Source
AI summary
In a content management system, the still image extracting unit extracts a plurality of frames of still image data from the moving image data based on the motion of the person of interest. The scene determining unit determines a scene of the moving image including a still image corresponding to each of the plurality of frames of the still image data. The management marker registration unit registers, as a management marker, each of the plurality of frames of still image data or an image feature amount of each still image in association with a scene of a moving image corresponding to each still image. The management image generator generates management image data including at least two pieces of the still image data.