Microsoft technology licensing, llc (20240312020). CONDITIONED SMART IMAGE CROPPING simplified abstract
Contents
CONDITIONED SMART IMAGE CROPPING
Organization Name
microsoft technology licensing, llc
Inventor(s)
Mingxi Cheng of Los Angeles CA (US)
Zhihang Zhong of Hangzhou (CN)
Stephen Ssu-te Lin of Beijing (CN)
CONDITIONED SMART IMAGE CROPPING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240312020 titled 'CONDITIONED SMART IMAGE CROPPING
The patent application describes a system for cropping images based on user intention data and visual features within the image.
- Receiving a source image and user intention data
- Determining a target feature based on user intention data
- Identifying visual features within the source image
- Determining contextual relevance between the target feature and visual features
- Identifying cropping candidate portions within the source image based on contextual relevance
- Cropping the source image to generate multiple cropped images
- Displaying the cropped images on a display
Potential Applications: - Image editing software - Social media platforms - E-commerce websites for product images
Problems Solved: - Efficient cropping of images based on user intention - Enhancing visual content for better user engagement
Benefits: - Improved user experience in image editing - Time-saving in cropping images - Enhanced visual appeal of images
Commercial Applications: Title: "Enhanced Image Cropping System for Improved User Experience" This technology can be used in various industries such as graphic design, photography, social media marketing, and e-commerce platforms to enhance the visual content and user experience.
Prior Art: Researchers can explore existing image cropping algorithms and software tools to understand the evolution of image cropping technology.
Frequently Updated Research: Researchers are constantly working on improving image recognition algorithms and user intention analysis to enhance image cropping systems.
Questions about Image Cropping: 1. How does this system determine the contextual relevance between visual features and the target feature? - The system uses advanced algorithms to analyze the visual features and user intention data to determine the contextual relevance.
2. What are the potential limitations of this image cropping system? - The system's effectiveness may depend on the accuracy of user intention data and the complexity of the visual features within the image.
Original Abstract Submitted
a system for cropping an image is disclosed, which performs receiving a source image and user intention data; determining a target feature based on the user intention data; identifying a plurality of visual features within the source image; determining a contextual relevance between the target feature and each identified visual feature of the source image; identifying, based on the determined contextual relevance between the target feature and each identified visual feature of the source image, one or more cropping candidate portions within the source image; cropping, based on the one or more cropping candidate portions, the source image to generate a plurality of cropped images; and causing the plurality of cropped images to be displayed on a display.
