Image Processing Apparatus for Automatic Representative Image Selection
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Solution Overview
Problem
Existing image management methods are inefficient in automatically selecting representative images from a series of continuously captured images, particularly for subjects like people, as they do not effectively differentiate between well-captured and poorly captured images, leading to unnecessary storage usage and user inconvenience.
Innovation Solution
An image processing apparatus equipped with face detection means to extract attribute information, score determination means to evaluate images based on face attributes or environment information, and representative image selection means to automatically choose a representative image from continuously captured images, considering factors like smiliness degree, eye closure, and capture environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If continuous capture is used to capture moving subjects, then the ability to capture desired images is improved, but the need to manually select representative images increases and storage space is wasted
Solution Approach 1:
The system automatically evaluates and selects representative images from continuous capture sequences without requiring manual user intervention. The image evaluation unit autonomously assesses image quality based on predetermined criteria and the representative image selection unit automatically chooses images for storage, enabling the system to serve itself rather than requiring continuous manual selection.
Solution Approach 2:
The system performs preliminary evaluation of continuously captured images in advance, identifying representative images before the user needs to review them. By pre-evaluating image quality and pre-selecting representative images, the system eliminates the need for users to manually review entire sequences, saving time and effort.
2Reliability
If all continuously captured images are stored, then no images are lost, but storage space is wasted on poorly captured images
Solution Approach 1:
The system extracts and selects only the representative images from the continuous capture sequence for storage, rather than storing all captured images. The representative image selection unit identifies and extracts high-quality images based on evaluation criteria, separating valuable content from redundant data to optimize storage space utilization.
Solution Approach 2:
The system changes the storage parameter from storing all captured images to storing only selected representative images. By applying evaluation criteria and selection algorithms, the system transforms the storage approach to maintain image quality while reducing the quantity of stored data, thereby optimizing the balance between retention rate and storage consumption.
3Ease of operation
If manual selection of representative images is required, then user control is maintained, but user effort and time consumption increase
Solution Approach 1:
The system provides feedback to users by presenting selected representative images for review or allowing users to adjust selection criteria. This feedback mechanism maintains user control and confidence in the selection process while automating the actual selection work, combining machine efficiency with human oversight to improve overall productivity.
Data Source
AI summary
An image processing apparatus includes: face detection means for detecting a subject face contained in each of images continuously captured by capturing means and extracting attribute information on each detected face; score determination means for determining a score for each of the continuously captured images on the basis of the attribute information on the detected face extracted by the face detection means; and representative image selection means for selecting a representative image from the continuously captured images on the basis of the score determined by the score determination means.