公开(公告)号：US11127034B1

公开(公告)日：2021-09-21

申请号：US16933873

申请日：2020-07-20

Applicant: Amazon Technologies, Inc.

Inventor： Yashal Shakti Kanungo ,  Sumit Negi ,  Aruna Rajan ,  Meghana S. Shivanand Rajamane

IPC: G06Q30/02 ,  G06N20/00 ,  G06Q30/06

Abstract: Technologies are provided for automated generation of directed content campaigns. The generated campaign can be optimized for performance. In some embodiments, a group of variations of attributes that define a directed content campaign can be generated and allocated traffic weights for respective impressions of the directed content campaign in a media outlet channel. The traffic weights can then be iteratively updated until a termination criterion is satisfied. At each iteration, the traffic weight can be updated by applying a machine-learning model to current performance metric values of respective impressions corresponding to the traffic weights. After termination of the updates to the traffic weights, a particular set of variations having traffic weights exceeding a threshold can be selected as directed content campaign having satisfactory performance. Those variations can be supplied to a requestor device for subsequent utilization.

公开(公告)号：US11917266B1

公开(公告)日：2024-02-27

申请号：US17955295

申请日：2022-09-28

Applicant: Amazon Technologies, Inc.

Inventor： Shilpa Pundi Ananth ,  Sai Sree Harsha ,  Pooja Ashok Kumar ,  Yashal Shakti Kanungo ,  Sumit Negi ,  Brittney C. Gannon ,  Lauren K. Johnson

IPC: H04N21/218 ,  H04N21/222 ,  H04N21/235 ,  H04N21/488 ,  H04N21/6379 ,  H04N21/81 ,  H04N19/46 ,  G06V10/74 ,  H04N5/262

CPC classification number: H04N21/8153 ,  G06V10/761 ,  H04N5/2628 ,  H04N19/46 ,  H04N21/812

Abstract: Devices, systems, and methods are provided for generating and selecting video clips for inclusion in video sequences based on still frame images. A method may include encoding first embeddings for a first video including first images of an item at a first scene, the first embeddings indicative of features of the first scene; encoding second embeddings for a second video including second images of the item at a second scene, the second embeddings indicative of features of the second scene; encoding third embeddings for the first video, the third embeddings indicative of features of a first type of camera shot used for the first images; encoding fourth embeddings for the second video, the fourth embeddings indicative of features of a second type of camera shot used for the second images; and generating, based on the first, second, third, and fourth embeddings, a video sequence for the item.

公开(公告)号：US10713821B1

公开(公告)日：2020-07-14

申请号：US16454829

申请日：2019-06-27

Applicant: Amazon Technologies, Inc.

Inventor： Shiv Surya ,  Arijit Biswas ,  Sumit Negi ,  Amrith Rajagopal Setlur

IPC: G06N3/08 ,  G06T11/00 ,  G06T11/20 ,  G06F40/30

Abstract: Techniques are generally described for context aware text-to-image synthesis. First text data comprising a description of an object may be received. A recurrent neural network may determine a first semantic representation data representing the first text data. A generator trained using a first generative adversarial network (GAN) may determine first image data representing the object using the first semantic representation. An encoder of a second GAN may generate a first feature representation of the first image data. The first feature representation may be combined with a projection of the first semantic representation data. A decoder of the second GAN may generate second image data representing the first text data.

公开(公告)号：US12238390B1

公开(公告)日：2025-02-25

申请号：US18400569

申请日：2023-12-29

Applicant: Amazon Technologies, Inc.

Inventor： Shilpa Pundi Ananth ,  Sai Sree Harsha ,  Pooja Ashok Kumar ,  Yashal Shakti Kanungo ,  Sumit Negi ,  Brittney C. Gannon ,  Lauren K. Johnson

IPC: H04N21/218 ,  G06V10/74 ,  H04N5/262 ,  H04N19/46 ,  H04N21/222 ,  H04N21/235 ,  H04N21/488 ,  H04N21/6379 ,  H04N21/81

Abstract: Devices, systems, and methods are provided for generating and selecting video clips for inclusion in video sequences based on still frame images. A method may include encoding first embeddings for a first video including first images of an item at a first scene, the first embeddings indicative of features of the first scene; encoding second embeddings for a second video including second images of the item at a second scene, the second embeddings indicative of features of the second scene; encoding third embeddings for the first video, the third embeddings indicative of features of a first type of camera shot used for the first images; encoding fourth embeddings for the second video, the fourth embeddings indicative of features of a second type of camera shot used for the second images; and generating, based on the first, second, third, and fourth embeddings, a video sequence for the item.