Amazon Technologies, Inc. (20240331163). SYSTEMS FOR DETERMINING IMAGE MASKS USING MULTIPLE INPUT IMAGES simplified abstract
Contents
SYSTEMS FOR DETERMINING IMAGE MASKS USING MULTIPLE INPUT IMAGES
Organization Name
Inventor(s)
QIANLI Feng of SEATTLE WA (US)
RAGHU DEEP Gadde of BOTHELL WA (US)
ALEIX MARGARIT Martinez of SEATTLE WA (US)
SYSTEMS FOR DETERMINING IMAGE MASKS USING MULTIPLE INPUT IMAGES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240331163 titled 'SYSTEMS FOR DETERMINING IMAGE MASKS USING MULTIPLE INPUT IMAGES
The abstract of the patent application describes a method using a generative adversarial network (GAN) to identify sets of pixels in an image that correspond to different objects or a background. The GAN generates alternate images that retain the structural characteristics of the original image while modifying style characteristics, such as colors, enabling the analysis of pixel sets that change color in a similar manner across the generated images.
- The method utilizes a generative adversarial network (GAN) to identify sets of pixels in an image that correspond to different objects or a background.
- The GAN generates alternate images that retain the structural characteristics of the original image while modifying style characteristics, such as colors.
- Analyzing the images generated by the GAN using a k-means clustering algorithm helps determine sets of pixels that change color in a similar manner across the images.
- Sets of pixels that change in a similar manner across the generated images can be used as masks representing objects or backgrounds for image modification without affecting other objects.
Potential Applications: - Image segmentation for object detection and recognition - Image editing tools for precise object isolation - Automated image processing for various industries such as medical imaging and autonomous vehicles
Problems Solved: - Accurate identification and isolation of objects in images - Efficient image editing without affecting other elements - Streamlining image processing tasks in various applications
Benefits: - Improved accuracy in object segmentation - Time-saving in image editing processes - Enhanced efficiency in image analysis tasks
Commercial Applications: Title: Advanced Image Segmentation Technology for Enhanced Object Recognition This technology can be used in industries such as: - Healthcare for medical image analysis - Automotive for autonomous vehicle development - E-commerce for product image processing
Questions about Image Segmentation Technology: 1. How does this technology improve the accuracy of object segmentation in images? 2. What are the potential commercial applications of this advanced image segmentation technology?
Original Abstract Submitted
to identify sets of pixels in a first image that correspond to different objects or a background, a first image is provided to a generative adversarial network (gan). the gan determines alternate images that retain the structural characteristics of the first image, such as the locations and shapes of objects, while modifying style characteristics, such as the colors of pixels. the images generated by the gan may then be analyzed, such as by using a k-means clustering algorithm, to determine sets of pixels at the same location that change color in a similar manner across the set of images. a set of pixels that changes in a similar manner across the images generated by the gan may be used as a mask representing an object or background to enable modification of the image without interfering with other objects.
