Endoscopic Frame Image Extraction Using Operation and Feature Tags
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Solution Overview
Problem
Existing endoscopic inspection methods struggle to efficiently extract important frame images from captured moving images, as they often rely on automatic image extraction without user understanding, leading to insufficient narrowing of relevant images and lack of transparency in the extraction process.
Innovation Solution
An endoscopic device with an operation receiving unit and processor that adds tags to frame images based on user operations and recognized features, allowing for selective extraction of frame images using multiple tags as conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic image extraction is used, then extraction speed is improved, but transparency and user understanding of the extraction process deteriorate
Solution Approach 1:
The system provides feedback to the user by displaying the extraction conditions and results, allowing the user to understand what criteria are used for automatic extraction. This maintains transparency while preserving the efficiency of automatic processing.
Solution Approach 2:
The patent introduces an intermediary layer between automatic extraction and the user - a configurable extraction condition setting interface that translates user requirements into automatic extraction parameters. This mediator allows users to understand and control the extraction process without manually processing images.
2Measurement precision
If multiple tag types are added to frame images, then extraction accuracy is improved, but device complexity increases
Solution Approach 1:
The patent segments the extraction criteria into multiple independent tag types (operation tags, feature image tags, time-based tags). Each tag represents a separate dimension of extraction conditions, allowing the system to achieve high accuracy through multiple simple, modular tagging operations rather than one complex extraction mechanism.
Data Source
AI summary
A non-transitory computer-readable medium storing a program for causing a processor to at least execute processing of: during recording processing of a moving image including a plurality of frame images generated on a basis of an imaging signal output from an imaging element included in an insertion portion inserted into a test subject, among the plurality of frame images, adding, as a tag, information regarding an operation to a frame image corresponding to a timing when an operation receiving unit receives the operation, and adding, as a tag, information regarding a specific feature image to a frame image recognized as the specific feature image; and extracting a frame image from among the plurality of frame images included in the moving image on a basis of at least one type of tag among two or more types of tags selected from among a plurality of types of the tags.