Image Processing Apparatus Object Selection and Extraction
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Solution Overview
Problem
Existing image processing methods require users to sift through multiple captured images to identify and extract specific objects, such as faces, which is time-consuming and inefficient.
Innovation Solution
An image processing apparatus with an imaging section, storage section, object selection section, and extraction section that allows users to select and extract captured images based on identified objects, reducing the need for manual sorting and transferring only relevant images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all captured images are transmitted and stored on the server, then complete image data is available for retrieval, but user operation time and effort increase significantly when searching for specific images
Solution Approach 1:
The system performs preliminary object identification and tagging on captured images before storage. The object selection section identifies objects in advance and associates identification information with each image, so that when users search for images containing specific objects, the system can quickly retrieve relevant images without requiring manual browsing of all stored images.
2Measurement precision
If manual sorting and determination of desired images is performed, then accurate image selection is achieved, but the process becomes time-consuming and labor-intensive
Solution Approach 1:
The system enables automatic image selection through object identification. The object selection section automatically identifies objects in captured images and generates identification information, allowing the system to self-select relevant images based on user queries without requiring manual review or determination by the user.
Solution Approach 2:
The patent replaces the mechanical process of manual image sorting and visual inspection with an automated object recognition system. The object selection section uses image processing algorithms to automatically identify and classify objects in images, substituting human visual analysis with computational methods that are both accurate and efficient.
3Reliability
If unnecessary image data is retained, then no desired images are missed, but storage space is wasted and data management complexity increases
Solution Approach 1:
The system extracts and retains only the essential identification information (object tags) associated with each image, rather than storing and manually reviewing all image data. This allows the system to efficiently retrieve relevant images by querying object identification information, eliminating the need to store redundant data while maintaining complete retrieval capability.
Data Source
AI summary
An image processing apparatus including: an imaging section; an image storage section configured to store a captured image obtained by capturing an image by the imaging section; an object selection section configured to select an object from the captured image obtained by capturing the image by the imaging section; and an image extraction section configured to extract a captured image in accordance with the object selected from the stored captured image.