Image Subject Recognition for Layout Overlap Avoidance
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Solution Overview
Problem
Existing image layout technologies often result in poor layouts when an image is resized to fit a smaller area, causing important parts of the image to be obscured, and when text is displayed with the image, it can further obscure critical areas, leading to an unsatisfactory visual presentation.
Innovation Solution
A method and apparatus that use image recognition to identify and crop the subject part of an image, ensuring it is optimally displayed in a predetermined area, and adjust the image's position or crop it to prevent overlap with text, thereby maintaining the visibility of important image parts even when text is displayed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If an image is resized to fit a smaller predetermined area, then the image can be displayed in the available space, but important parts of the image may be obscured or misplaced
Solution Approach 1:
The system performs image recognition and subject identification before the layout process. By pre-identifying the subject part of the image, the system can make informed decisions about cropping and positioning that preserve important content, rather than simply resizing the entire image.
Solution Approach 2:
The image is divided into different regions: the subject part (identified through image recognition) and the non-subject part. The layout process then selectively crops and positions only the subject part, rather than treating the entire image uniformly. This segmentation allows the important content to be preserved while fitting the display constraints.
2Loss of information
If text is displayed with the image, then information is provided, but the text may obscure critical areas of the image
Solution Approach 1:
The system determines the text display area and checks for overlap with the subject part before finalizing the layout. This preliminary check allows the system to adjust the image cropping or positioning in advance to prevent text from obscuring important content.
Solution Approach 2:
The system applies different treatment to different parts of the image based on their importance. The subject part (identified through image recognition) receives special protection from text overlay, while non-subject areas can accommodate text display. This local quality approach ensures that text information is provided without compromising the visibility of critical image content.
3Loss of information
If the image is moved away from the text display location to avoid overlap, then text visibility is maintained, but the subject part may be obscured by the movement
Solution Approach 1:
The system checks for overlap between text and subject part before moving the image. By performing this check in advance, the system can determine whether movement is necessary and, if so, adjust the cropping region to ensure the subject part remains visible in its new position.
Solution Approach 2:
The system dynamically adjusts the image cropping and positioning based on the text location and size. Rather than using a fixed layout approach, the system adapts the image display parameters (crop region, position) according to the specific text requirements, ensuring optimal visibility of both text and subject content.
Data Source
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AI summary
A method of laying out an image using image recognition is provided. The method includes operations of recognizing, from an original image, a subject part of an original image corresponding to at least a partial area of the original image, cropping the subject part, and displaying the subject part in a predetermined area.