Automatic Image Selection Using Characteristic Value Comparison
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Solution Overview
Problem
Users face inefficiencies in selecting satisfactory images from a web cam, as manual selection is time-consuming and subjective, and without continuous shooting, users must repeatedly operate the camera, affecting the quality of captured images.
Innovation Solution
A computer system with a characteristic value database compares predetermined aesthetic values to automatically select images by calculating distances between image characteristics and predetermined values, using facial detection and weighted averages to objectively choose images that align with user aesthetics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually select images from multiple captured images, then they can choose satisfactory images, but the selection process is time-consuming and toilsome
Solution Approach 1:
The system performs automatic image selection by comparing captured images against predetermined characteristic values stored in a database, eliminating the need for manual user selection. The computer system independently evaluates images based on objective criteria such as facial features, lighting conditions, and composition, thereby resolving the contradiction between selection accuracy and time consumption.
Solution Approach 2:
The manual mechanical process of user selection is replaced with an automated computational system that uses characteristic value comparison and distance calculation algorithms. This substitution transforms the selection process from a time-consuming manual operation to an efficient automated computation, maintaining high selection accuracy while dramatically reducing time loss.
2Quantity of substance
If users repeatedly operate the web cam to capture multiple images, then they can obtain more images for selection, but users cannot display natural expression or concentrate on the lens
Solution Approach 1:
The system enables continuous automatic capture of images without requiring repeated manual operations. By automating the capture process, users can maintain natural expressions and proper positioning throughout the sequence, ensuring that all captured images meet quality standards while providing sufficient quantity for selection.
Solution Approach 2:
The automated system manages the entire image capture and selection process without requiring repeated user intervention. This self-service approach ensures consistent image quality by eliminating the disruption caused by manual operation, while simultaneously providing multiple images for selection through continuous automated capture.
3Adaptability or versatility
If the web cam does not have continuous shooting function, then users must manually operate the camera keys, but the photographing results are greatly affected
Solution Approach 1:
The manual mechanical operation of camera keys is replaced with automated computational control. The system programmatically triggers image capture and manages the selection process, eliminating the disruption to photographing quality caused by manual intervention while maintaining the flexibility to capture multiple images as needed.
Solution Approach 2:
The system provides self-service by automatically managing the image capture sequence and selection process without requiring users to repeatedly press camera keys. This approach preserves photographing quality by eliminating manual interruption while adapting to the camera's capabilities through automated control.
Data Source
AI summary
A method for image auto-selection and a computer system thereof are provided. In the method, a characteristic value of each of the images is compared with the predetermined characteristic value stored in a characteristic value database, and the images with less difference between the characteristic value and the predefined characteristic values are selected automatically. As a result, the image selection can become more objectively, and the efficiency of image selection can be improved due to the reduction of the manual selection time.