公开(公告)号：US11206438B2

公开(公告)日：2021-12-21

申请号：US16746579

申请日：2020-01-17

Applicant: Amazon Technologies, Inc.

Inventor： Walterio Wolfgang Mayol Cuevas ,  Wasiq Bokhari ,  William Vass ,  Sean Love ,  Garish Sood

IPC: H04N21/2662 ,  G06N20/00 ,  G06K9/00 ,  H04L29/06 ,  H04N21/2187 ,  H04N21/24

Abstract: Techniques for video enhancement using a service are described. In some examples, a video enhancement service is to receive, from a requesting device, a request to provide a video, the request including an indication that at least a proper subset of the video is to be enhanced using at least one machine learning model; select at least one machine learning model to be used to enhance at least the proper subset of the video; enhance at least the proper subset of the video using the selected at least one machine learning model; and output the video including the at least proper subset of the video that had been enhanced.

公开(公告)号：US11425448B1

公开(公告)日：2022-08-23

申请号：US17219278

申请日：2021-03-31

Applicant: Amazon Technologies, Inc.

Inventor： Tejas Shamrao Khot ,  Nataliya Shapovalova ,  Silviu Stefan Andrei ,  Walterio Wolfgang Mayol Cuevas ,  Wasiq Bokhari

IPC: H04N21/431 ,  H04N5/783 ,  G06T5/00 ,  H04N21/2662 ,  H04N21/81 ,  H04N21/2343

Abstract: An input video stream corresponding to input video content may be received over one or more networks. The input video stream may include a first image frame. An input visual feature of the first image frame may be matched to a reference visual feature of a reference image. The reference image may have a higher image quality than the first image frame. A replacement visual feature may be generated for the input visual feature. The replacement visual feature may be generated based at least in part on the reference visual feature. An enhanced image frame corresponding to the first image frame may be generated by at least replacing the input visual feature in the first image frame with the replacement visual feature. An enhanced video stream may be provided. The enhanced image frame may be a substitute for the first image frame in the enhanced video stream.

公开(公告)号：US11736753B1

公开(公告)日：2023-08-22

申请号：US17526531

申请日：2021-11-15

Applicant: Amazon Technologies, Inc.

Inventor： Walterio Wolfgang Mayol Cuevas ,  Wasiq Bokhari ,  William Vass ,  Sean Love ,  Garish Sood

IPC: H04N21/2662 ,  G06N20/00 ,  H04N21/2187 ,  H04N21/24 ,  G06V20/40 ,  H04L65/65 ,  H04L65/75

CPC classification number: H04N21/2662 ,  G06N20/00 ,  G06V20/41 ,  H04L65/65 ,  H04L65/75 ,  H04N21/2187 ,  H04N21/2402

Abstract: Techniques for video enhancement using a service are described. In some examples, a video enhancement service is to receive, from a requesting device, a request to provide a video, the request including an indication that at least a proper subset of the video is to be enhanced using at least one machine learning model; select at least one machine learning model to be used to enhance at least the proper subset of the video; enhance at least the proper subset of the video using the selected at least one machine learning model; and output the video including the at least proper subset of the video that had been enhanced.

公开(公告)号：US11961410B1

公开(公告)日：2024-04-16

申请号：US16365131

申请日：2019-03-26

Applicant: Amazon Technologies, Inc.

Inventor： Kevin Shude Lin ,  Johan Christer Liedgren ,  Ana Sande do Vale Pinto da Silva ,  Wasiq Bokhari ,  Hilliard Bruce Siegel

IPC: G09B19/00 ,  G06N20/00 ,  G06V40/20 ,  H04N5/262 ,  G06F3/01

CPC classification number: G09B19/00 ,  G06N20/00 ,  G06V40/20 ,  H04N5/2621 ,  G06F3/017

Abstract: Systems and methods to measure and affect focus, engagement, and presence of users may include measuring a variety of aspects of users engaged in particular activities. Individual user characteristics or preferences and attributes of activities may be taken into account to determine levels of focus for particular users and activities. A variety of sensors may detect aspects of users engaged in activities to measure levels of focus. In addition, a variety of output devices may initiate actions to affect levels of focus of users engaged in activities. Further, a variety of processing algorithms, including machine learning models, may be trained to identify desired levels of focus, to calculate current levels of focus, and to select actions to change or boost levels of focus. In this manner, activities undertaken by users, as well as interactions between multiple users, may be made more engaging, efficient, and productive.