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公开(公告)号：US10664962B1
公开(公告)日：2020-05-26
申请号：US15841243
申请日：2017-12-13
Applicant: Amazon Technologies, Inc.
Inventor： Amit Adam , Igor Kviatkovsky , Ehud Benyamin Rivlin , Gerard Guy Medioni
Abstract: Described is a method for processing image data to determine if a portion of the imaged environment is exposed to high illumination, such as sunlight. In some implementations, image data from multiple different imaging devices may be processed to produce for each imaging device a respective illumination mask that identifies pixels that represent a portion of the environment that is exposed to high illumination. Overlapping portions of those illumination masks may then be combined to produce a unified illumination map of an area of the environment. The unified illumination map identifies, for different portions of the environment, a probability that the portion is actually exposed to high illumination.
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公开(公告)号：US10482625B1
公开(公告)日：2019-11-19
申请号：US15472166
申请日：2017-03-28
Applicant: Amazon Technologies, Inc.
Inventor： Amit Adam , Ehud Benyamin Rivlin , Gerard Guy Medioni
Abstract: Described is a multiple-imaging device system and process for calibrating each of the imaging devices to a global color space so that image pixel values representative of an imaged object are the same or similar regardless of the imaging device that produced the image data or the lighting conditions surrounding the object.
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公开(公告)号：US11546141B1
公开(公告)日：2023-01-03
申请号：US17209652
申请日：2021-03-23
Applicant: Amazon Technologies, Inc.
Inventor： Simon Guest , Amit Adam
Abstract: Techniques for cryptographically protecting personally identifiable information in images and videos are described herein. An image may be obtained. One or more regions in the image may be detected based on an object detection algorithm. Pixels for each region of the one or more regions may be encrypted using a symmetric encryption technique and an initialization vector. The encrypted pixels for each region of the one or more regions may be written back into the image. A symmetric key of the symmetric encryption technique and the initialization vector may be encrypted using an asymmetric encryption technique. Metadata of the image may be updated to store the encrypted symmetric key and the encrypted initialization vector.
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公开(公告)号：US11354885B1
公开(公告)日：2022-06-07
申请号：US16914959
申请日：2020-06-29
Applicant: Amazon Technologies, Inc.
Inventor： Amit Adam , Igor Kviatkovsky , Ehud Benyamin Rivlin , Gerard Guy Medioni
IPC: G06V10/60 , G06V10/10 , G06V10/141 , G06V10/147 , G06V10/75 , G06V20/52
Abstract: Described is a method for processing image data to determine if a portion of the imaged environment is exposed to high illumination, such as sunlight. In some implementations, image data from multiple different imaging devices may be processed to produce for each imaging device a respective illumination mask that identifies pixels that represent a portion of the environment that is exposed to high illumination. Overlapping portions of those illumination masks may then be combined to produce a unified illumination map of an area of the environment. The unified illumination map identifies, for different portions of the environment, a probability that the portion is actually exposed to high illumination.
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Patent Agency Ranking
公开(公告)号：US11257006B1
公开(公告)日：2022-02-22
申请号：US16196662
申请日：2018-11-20
Applicant: Amazon Technologies, Inc.
Inventor： Oron Anschel , Amit Adam , Shahar Tsiper , Hadar Averbuch Elor , Shai Mazor , Rahul Bhotika , Stefano Soatto
IPC: G06N20/00 , G06K9/00 , G06F40/169
Abstract: Techniques for auto-generation of annotated real-world training data are described. An electronic document is analyzed to determine text represented in the document and corresponding locations of the text. A representation of the electronic document is modified to include markers and printed. The printed document is photographed in real-world environments, and the markers within the digital photographs are analyzed to allow for the depiction of the document within the photographs to be rectified. The text and location data are used to annotate the rectified images.
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公开(公告)号：US10699152B1
公开(公告)日：2020-06-30
申请号：US15841241
申请日：2017-12-13
Applicant: Amazon Technologies, Inc.
Inventor： Amit Adam , Igor Kviatkovsky , Ehud Benyamin Rivlin , Gerard Guy Medioni
Abstract: Described is a method for processing image data to determine if a portion of the imaged environment is exposed to high illumination, such as sunlight. In some implementations, image data from multiple different imaging devices may be processed to produce for each imaging device a respective illumination mask that identifies pixels that represent a portion of the environment that is exposed to high illumination. Overlapping portions of those illumination masks may then be combined to produce a unified illumination map of an area of the environment. The unified illumination map identifies, for different portions of the environment, a probability that the portion is actually exposed to high illumination.
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公开(公告)号：US11341605B1
公开(公告)日：2022-05-24
申请号：US16588503
申请日：2019-09-30
Applicant: Amazon Technologies, Inc.
Inventor： Kunwar Yashraj Singh , Amit Adam , Shahar Tsiper , Gal Sabina Star , Roee Litman , Hadar Averbuch Elor , Vijay Mahadevan , Rahul Bhotika , Shai Mazor , Mohammed El Hamalawi
Abstract: Techniques for document rectification via homography recovery using machine learning are described. An image rectification system can intelligently make use of multiple pipelines for rectifying document images based on the detected type of device that generated the images. The image rectification system can provide high-quality rectifications without requiring human cooperation, multiple views of the document in multiple images, and/or without being constrained to only be able to process images from one source context.
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8.发明授权公开(公告)号：US10970530B1
公开(公告)日：2021-04-06
申请号：US16189633
申请日：2018-11-13
Applicant: Amazon Technologies, Inc.
Inventor： Amit Adam , Oron Anschel , Or Perel , Gal Sabina Star , Omri Ben-Eliezer , Hadar Averbuch Elor , Shai Mazor , Wendy Tse , Andrea Olgiati , Rahul Bhotika , Stefano Soatto
IPC: G06K9/62 , G06F40/137 , G06F40/169 , G06F40/174 , G06K9/00 , G06N20/00
Abstract: Techniques for grammar-based automated generation of annotated synthetic form training data for machine learning are described. A training data generation engine utilizes a defined grammar to construct a layout for a form, select key-value units to place within the layout, and select attribute variants for the key-value units. The form is rendered and stored at a storage location, where it can be provided along with other similarly-generated forms to be used as training data for a machine learning model.
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公开(公告)号：US10949661B2
公开(公告)日：2021-03-16
申请号：US16198040
申请日：2018-11-21
Applicant: Amazon Technologies, Inc.
Inventor： Rahul Bhotika , Shai Mazor , Amit Adam , Wendy Tse , Andrea Olgiati , Bhavesh Doshi , Gururaj Kosuru , Patrick Ian Wilson , Umar Farooq , Anand Dhandhania
IPC: G06K9/00
Abstract: Techniques for layout-agnostic complex document processing are described. A document processing service can analyze documents that do not adhere to defined layout rules in an automated manner to determine the content and meaning of a variety of types of segments within the documents. The service may chunk a document into multiple chunks, and operate upon the chunks in parallel by identifying segments within each chunk, classifying the segments into segment types, and processing the segments using special-purpose analysis engines adapted for the analysis of particular segment types to generate results that can be aggregated into an overall output for the entire document that captures the meaning and context of the document text.
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