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：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.

公开(公告)号：US11295229B1

公开(公告)日：2022-04-05

申请号：US15132959

申请日：2016-04-19

Applicant: Amazon Technologies, Inc.

Inventor： Pooja Ashok Kumar ,  Naveen Sudhakaran Nair ,  Rajeev Ramnarain Rastogi

IPC: G06N20/00 ,  G06N7/00

Abstract: An approximate count of a subset of records of a data set is obtained using one or more transformation functions. The subset comprises records which contain a first value of one input variable, a second value of another input variable, and a particular value of a target variable. Using the approximate count, an approximate correlation metric for a multidimensional feature and the target variable is obtained. Based on the correlation metric, the multidimensional feature is included in a candidate feature set to be used to train a machine learning model.

公开(公告)号：US10692127B1

公开(公告)日：2020-06-23

申请号：US15292042

申请日：2016-10-12

Applicant: Amazon Technologies, Inc.

Inventor： Pooja Ashok Kumar ,  Roopesh Ranjan ,  Neela Kamlakar Sawant

IPC: G06Q30/00 ,  G06Q30/06 ,  G06N5/04 ,  G06N7/00

Abstract: Systems and methods are provided for determining or predicting user demographic information using user behaviors through a Bayesian inference. A computing system may determine demographic information (such as age or gender) of a user based on a Bayesian update and a purchase or other user action by the user. In some embodiments, the computing system may determine the household composition of a user account based on multiple purchases by the user account. The computing system may generate recommendations for the user or the user account based on the demographic information of the user or the household composition of the user account.