View source for 18185791. CONDITIONED SMART IMAGE CROPPING simplified abstract (Microsoft Technology Licensing, LLC)

=CONDITIONED SMART IMAGE CROPPING=


==Organization Name==

[[:Category:Microsoft Technology Licensing, LLC|Microsoft Technology Licensing, LLC]]


[[Category:Microsoft Technology Licensing, LLC]]

==Inventor(s)==

[[:Category:Mingxi Cheng of Los Angeles CA (US)|Mingxi Cheng of Los Angeles CA (US)]][[Category:Mingxi Cheng of Los Angeles CA (US)]]

[[:Category:Ji Li of San Jose CA (US)|Ji Li of San Jose CA (US)]][[Category:Ji Li of San Jose CA (US)]]

[[:Category:Zhihang Zhong of Hangzhou (CN)|Zhihang Zhong of Hangzhou (CN)]][[Category:Zhihang Zhong of Hangzhou (CN)]]

[[:Category:Zhirong Wu of Beijing (CN)|Zhirong Wu of Beijing (CN)]][[Category:Zhirong Wu of Beijing (CN)]]

[[:Category:Han Hu of Beijing (CN)|Han Hu of Beijing (CN)]][[Category:Han Hu of Beijing (CN)]]

[[:Category:Yuhui Yuan of Beijing (CN)|Yuhui Yuan of Beijing (CN)]][[Category:Yuhui Yuan of Beijing (CN)]]

[[:Category:Stephen Ssu-te Lin of Beijing (CN)|Stephen Ssu-te Lin of Beijing (CN)]][[Category: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 18185791 titled 'CONDITIONED SMART IMAGE CROPPING

'''Simplified Explanation:'''
The patent application describes a system for cropping images based on user intention data and visual features.

* 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

'''Key Features and Innovation:'''
- Utilizes user intention data to determine cropping areas in images
- Considers contextual relevance between target features and visual features for accurate cropping
- Generates multiple cropped images for user selection

'''Potential Applications:'''
- Image editing software
- Social media platforms
- E-commerce websites for product images

'''Problems Solved:'''
- Efficient cropping of images based on user intention
- Improved accuracy in identifying cropping areas
- Enhanced user experience in image editing

'''Benefits:'''
- Saves time in manual cropping
- Increases precision in image cropping
- Enhances visual appeal of images

'''Commercial Applications:'''
Title: Image Cropping System for Enhanced User Experience
This technology can be used in image editing software to provide users with a more intuitive and efficient way to crop images. It can also be integrated into social media platforms and e-commerce websites to improve the visual presentation of images.

'''Questions about Image Cropping System:'''
1. How does the system determine the target feature for cropping an image?
2. What are the potential benefits of using this image cropping system?

'''Frequently Updated Research:'''
There may be ongoing research in the field of image recognition and artificial intelligence that could further enhance the capabilities of this image cropping system.


==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.



[[Category:G06T7/11]]
[[Category:G06V10/25]]
[[Category:G06V10/44]]
[[Category:G06V10/74]]
[[Category:G10L15/26]]
[[Category:CPC_G06T7/11]]