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公开(公告)号：US11710312B2
公开(公告)日：2023-07-25
申请号：US17865076
申请日：2022-07-14
Applicant: Adobe Inc.
Inventor： Jayant Kumar , Vera Lychagina , Tarun Vashisth , Sudhakar Pandey , Sharad Mangalick , Rohith Mohan Dodle , Peter Baust , Mina Doroudi , Kerem Turgutlu , Kannan Iyer , Gaurav Kukal , Archit Kalra , Amine Ben Khalifa
IPC: G06V20/00 , G06F16/53 , G06N3/08 , G06F18/23 , G06F18/214
CPC classification number: G06V20/35 , G06F16/53 , G06F18/214 , G06F18/23 , G06N3/08
Abstract: Disclosed are systems and methods for dynamically determining categories for images. A computer-implemented method may include training a neural network to receive an input image and determine one or more image categories associated with the input image; obtaining a set of images associated with a user; determining, using the trained neural network, one or more image categories associated with each image included in the obtained set of images; determining one or more dominant image categories associated with the user based on the determined image categories for the obtained set of images; and determining an image editing user interface for the user based on the determined one or more dominant image categories.
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Patent Agency Ranking
公开(公告)号：US20210272253A1
公开(公告)日：2021-09-02
申请号：US16803332
申请日：2020-02-27
Applicant: Adobe Inc.
Inventor： Zhe Lin , Vipul Dalal , Vera Lychagina , Shabnam Ghadar , Saeid Motiian , Rohith mohan Dodle , Prethebha Chandrasegaran , Mina Doroudi , Midhun Harikumar , Kannan Iyer , Jayant Kumar , Gaurav Kukal , Daniel Miranda , Charles R. McKinney , Archit Kalra
Abstract: The present disclosure relates to an image merging system that automatically and seamlessly detects and merges missing people for a set of digital images into a composite group photo. For instance, the image merging system utilizes a number of models and operations to automatically analyze multiple digital images to identify a missing person from a base image, segment the missing person from the second image, and generate a composite group photo by merging the segmented image of the missing person into the base image. In this manner, the image merging system automatically creates merged group photos that appear natural and realistic.
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公开(公告)号：US11468674B2
公开(公告)日：2022-10-11
申请号：US16995869
申请日：2020-08-18
Applicant: Adobe Inc.
Inventor： Jayant Kumar , Vera Lychagina , Tarun Vashisth , Sudhakar Pandey , Sharad Mangalick , Rohith Mohan Dodle , Peter Baust , Mina Doroudi , Kerem Turgutlu , Kannan Iyer , Gaurav Kukal , Archit Kalra , Amine Ben Khalifa
Abstract: Disclosed are systems and methods for dynamically determining categories for images. A computer-implemented method includes training a neural network to receive an input image and determine one or more image categories associated with the input image; obtaining a set of images associated with a user; and determining, using the trained neural network, one or more image categories associated with each image included in the obtained set of images.
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公开(公告)号：US11574392B2
公开(公告)日：2023-02-07
申请号：US16803332
申请日：2020-02-27
Applicant: Adobe Inc.
Inventor： Zhe Lin , Vipul Dalal , Vera Lychagina , Shabnam Ghadar , Saeid Motiian , Rohith mohan Dodle , Prethebha Chandrasegaran , Mina Doroudi , Midhun Harikumar , Kannan Iyer , Jayant Kumar , Gaurav Kukal , Daniel Miranda , Charles R McKinney , Archit Kalra
Abstract: The present disclosure relates to an image merging system that automatically and seamlessly detects and merges missing people for a set of digital images into a composite group photo. For instance, the image merging system utilizes a number of models and operations to automatically analyze multiple digital images to identify a missing person from a base image, segment the missing person from the second image, and generate a composite group photo by merging the segmented image of the missing person into the base image. In this manner, the image merging system automatically creates merged group photos that appear natural and realistic.
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公开(公告)号：US20220351513A1
公开(公告)日：2022-11-03
申请号：US17865076
申请日：2022-07-14
Applicant: Adobe Inc.
Inventor： Jayant Kumar , Vera Lychagina , Tarun Vashisth , Sudhakar Pandey , Sharad Mangalick , Rohith Mohan Dodle , Peter Baust , Mina Doroudi , Kerem Turgutlu , Kannan Iyer , Gaurav Kukal , Archit Kalra , Amine Ben Khalifa
Abstract: Disclosed are systems and methods for dynamically determining categories for images. A computer-implemented method may include training a neural network to receive an input image and determine one or more image categories associated with the input image; obtaining a set of images associated with a user; determining, using the trained neural network, one or more image categories associated with each image included in the obtained set of images; determining one or more dominant image categories associated with the user based on the determined image categories for the obtained set of images; and determining an image editing user interface for the user based on the determined one or more dominant image categories.
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公开(公告)号：US10467630B2
公开(公告)日：2019-11-05
申请号：US14590794
申请日：2015-01-06
Applicant: Adobe Inc.
Inventor： Kannan Iyer , Chad Michael Krsek
Abstract: The present disclosure is directed toward a message classification system that allows for improved customer service through intelligent classification of social media messages. For example, the message classification system may detect one or more messages that share a common context from within a group of messages, organize the detected messages into a messaging thread, and analyze messages within the messaging thread to identify a messaging thread classification. Further, the message classification system may analyze users participating in messaging threads to determine user classifications. Using the classified messaging thread and/or user classifications, the message classification system may assist an entity in improving social media customer service.
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