Automatic Image Cropping via Salient Region Detection
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Solution Overview
Problem
Manual image cropping can be time-consuming and challenging, especially for users without experience, and even for experienced users when cropping large numbers of images.
Innovation Solution
A computer-implemented method for automatically generating a cropped version of an input image by detecting a salient region, generating crop candidates, calculating candidate scores, selecting the best crop candidate, and generating the cropped image based on that candidate.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If manual image cropping is performed by users, then the cropping process can be completed, but it is time-consuming and challenging especially for users without experience
Solution Approach 1:
The system performs automatic image cropping without requiring user intervention. The computer identifies salient regions and generates crop candidates autonomously, eliminating the need for manual user operations while significantly reducing time consumption and improving ease of operation
Solution Approach 2:
The patent replaces manual mechanical cropping operations with an automated computer-based system that uses image processing algorithms to detect salient regions and generate crop candidates, substituting human effort with automated computational processes
2Manufacturing precision
If manual trial and error cropping is performed to achieve good aesthetic results, then aesthetic quality can be improved, but the process becomes extremely time-consuming
Solution Approach 1:
The system performs preliminary analysis by detecting salient regions in the image before generating crop candidates. This preliminary action identifies the most important areas of the image, allowing the system to generate aesthetically pleasing crop results in a single operation rather than through multiple trial and error attempts
Solution Approach 2:
The system calculates candidate scores for each generated crop candidate based on aesthetic criteria. This feedback mechanism evaluates the quality of each crop candidate and selects the best one, ensuring high aesthetic quality without requiring manual trial and error from the user
3Productivity
If experienced users perform manual cropping of large numbers of images, then cropping can be done efficiently, but it remains a tedious task
Solution Approach 1:
The automatic cropping system performs the entire cropping process without user intervention, eliminating the tedium of manual operations. The system can process large numbers of images autonomously, maintaining high productivity while completely removing the tedious nature of manual cropping tasks
Solution Approach 2:
The patent replaces manual cropping operations with automated computer-based image processing, substituting human effort with algorithms that can process large numbers of images efficiently and without fatigue, thereby eliminating tedium while maintaining or improving productivity
Data Source
AI summary
Described herein is a computer implemented method for automatically generating a cropped version of an input image. The method includes processing the input image to detect a salient region of the input image and generating a set of crop candidates based on the salient region of the input image, each crop candidate defining a different image crop. A set of candidate scores is calculated, each corresponding to a crop candidate, and a first crop candidate is selected based on the set of scores. The cropped version of the input image is then generated based on the image crop defined by the first crop candidate.