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公开(公告)号：US11089352B1
公开(公告)日：2021-08-10
申请号：US16259881
申请日：2019-01-28
Applicant: Amazon Technologies, Inc.
Inventor： Michael James Bartholomew , Paul Martin , Steve Huynh
IPC: H04N21/43 , H04N21/242 , H04L29/06 , H04N21/2387
Abstract: Systems and methods are provided herein for synchronizing content across multiple user devices. Content packets may be individually provided to user devices associated with a group. Each content packet may include a portion of content (e.g., media content) and a content index (e.g., an index that indicates a sequence by which the content packets are to be presented). The user device may begin to play the content packets according to the sequence. The user device may receive a particular content index identifying a particular content packet that occurs latest in the sequence and that has been received by all of the devices of the group. The user device may modify playback of the content packets based at least in part on the particular content index to synchronize playback of the content at the user device with respect to playback at the one or more devices.
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公开(公告)号：US11811783B1
公开(公告)日：2023-11-07
申请号：US17304737
申请日：2021-06-24
Applicant: Amazon Technologies, Inc.
Inventor： Hani Suleiman , Steve Huynh , James Mutton , Charles Benjamin Waggoner , Prasanth Saraswatula , Andrew James McVeigh , Benjamin Raphael Forman
IPC: H04L9/40 , G06F21/60 , H04N21/258 , H04N21/266 , G06Q20/12
CPC classification number: H04L63/108 , G06F21/602 , H04L63/107 , H04N21/25841 , H04N21/26606 , G06F2221/2145 , G06Q20/1235 , G06Q2220/10
Abstract: Some implementations include methods for generating a portable entitlement for a digital asset and may include generating a portable entitlement to a digital asset based on a request initiated by a first user having an entitlement to the digital asset, the portable entitlement to enable the first user to access the digital asset using a second computing device of a second user, the request initiated using a first computing device of the first user, the portable entitlement having a limited lifetime; and terminating the second computing device from accessing the digital asset based on one or more of determining that a proximity between the first and second computing devices violate the distance threshold and the lifetime of the portable entitlement has expired.
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公开(公告)号：US10909174B1
公开(公告)日：2021-02-02
申请号：US16266979
申请日：2019-02-04
Applicant: Amazon Technologies, Inc.
Inventor： Paul Martin , Michael Bartholomew , Steve Huynh
Abstract: Embodiments of the present disclosure are directed to, among other things, a system that may receive a stream of data content that corresponds with a content classification. A machine learning (ML) model may be selected based at least in part on the metadata and/or content classification. The data content may be inputted to the ML model and an output from the ML model may indicate that data content is associated with the content classification, a start location, and an end location of the stream of data content. The stream of data content may be truncated or cut by removing portions of the stream of data content that fall before the start location and after the end location. The remaining portion of the stream may be stored as a file and provided to the user device.
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公开(公告)号：US10824964B2
公开(公告)日：2020-11-03
申请号：US15370060
申请日：2016-12-06
Applicant: Amazon Technologies, Inc.
Inventor： Steve Huynh , Owen Cummings , Karl Gohde , Antonio Gabriel Perez de Tejada Martinez , Adam Douglas Morley , Graham Pedersen , James Christopher Sorenson, III
Abstract: A system capable of identifying and locking resources (e.g., items, tickets, etc.) may map resources to a bit vector and use bit vectors to efficiently identify and lock the resources. For example, tickets to a concert may be mapped to a bit vector and the system may generate an availability bit vector indicating an availability of the seat locations. Using bit vectors, the system may easily identify available seat locations that satisfy a search request and may select from the available seat locations using an optimization technique. For example, the system may select groups of seats that are next to unavailable seat locations or avoid selling groups of seats that would leave only a single seat available. Thus, the system may avoid fragmentation of ticket sales while improving a latency associated with searching for and reserving seat locations.
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公开(公告)号：US20180157998A1
公开(公告)日：2018-06-07
申请号：US15370060
申请日：2016-12-06
Applicant: Amazon Technologies, Inc.
Inventor： Steve Huynh , Owen Cummings , Karl Gohde , Antonio Gabriel Perez de Tejada Martinez , Adam Douglas Morley , Graham Pedersen , James Christopher Sorenson, III
CPC classification number: G06Q10/02
Abstract: A system capable of identifying and locking resources (e.g., items, tickets, etc.) may map resources to a bit vector and use bit vectors to efficiently identify and lock the resources. For example, tickets to a concert may be mapped to a bit vector and the system may generate an availability bit vector indicating an availability of the seat locations. Using bit vectors, the system may easily identify available seat locations that satisfy a search request and may select from the available seat locations using an optimization technique. For example, the system may select groups of seats that are next to unavailable seat locations or avoid selling groups of seats that would leave only a single seat available. Thus, the system may avoid fragmentation of ticket sales while improving a latency associated with searching for and reserving seat locations.
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Patent Agency Ranking
公开(公告)号：US12062367B1
公开(公告)日：2024-08-13
申请号：US17360903
申请日：2021-06-28
Applicant: Amazon Technologies, Inc.
Inventor： Steve Huynh , Erik Martin Zigman , Ronald Diaz
IPC: G10L15/18 , G06F16/783 , G06F16/901 , G06N20/00 , G10L15/06 , G10L15/183 , H04N21/439 , H04N21/44
CPC classification number: G10L15/1815 , G06F16/783 , G06F16/9024 , G06N20/00 , G10L15/063 , G10L15/1822 , G10L15/183 , H04N21/4394 , H04N21/44008
Abstract: Systems, devices, and methods are provided for processing video streams. Metadata is extracted from an input video stream and processed using a video stream analyzer. The extracted metadata may be correlated along a time dimension. A metadata graph is generated based on relationships between various information present in the video stream as well as external fact sources. Machine learning models may be trained to receive an input phrase, determine a graph query from the input, and determine an output by traversing the metadata graph according to the graph query.
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公开(公告)号：US11961168B1
公开(公告)日：2024-04-16
申请号：US17332355
申请日：2021-05-27
Applicant: Amazon Technologies, Inc.
Inventor： Steve Huynh , Erik Martin Zigman , Ronald Diaz
IPC: G06V10/40 , G06F18/2413 , G06T3/40 , G06T11/60
CPC classification number: G06T11/60 , G06F18/24147 , G06T3/40 , G06V10/40 , G06V2201/10
Abstract: Systems, devices, and methods are provided for processing images using machine learning. Features may be obtained from an image using a residual network, such as ResNet-101. Features may be analyzed using a classification model such as K-nearest neighbors (K-NN). Features and metadata extracted from images may be used to generate other images. Templates may be used to generate various types of images. For example, assets from two images may be combined to create a third image.
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公开(公告)号：US10860860B1
公开(公告)日：2020-12-08
申请号：US16239316
申请日：2019-01-03
Applicant: Amazon Technologies, Inc.
Inventor： Steve Huynh , Paul Martin , Michael Bartholomew
IPC: G06K9/00 , H04N21/234 , G06N3/04 , G06N3/08 , H04N21/25
Abstract: Computer systems of a multimedia service provider may utilize an artificial intelligence model to automatically match a video content with an existing video title of a catalog, allowing the provider to efficiently and accurately process a high volume of video content being received. The artificial intelligence model may be proceed by analyzing video frames from the video content to extract features and then determining the relevance of a set of features to a particular video title of the catalog. Based on the relevance determination, the computer system may associate the video content with the particular video title. In cases where no match with an existing title is determined, the artificial intelligence model may create a new video title based in part on the extracted features.
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公开(公告)号：US10671944B2
公开(公告)日：2020-06-02
申请号：US15369941
申请日：2016-12-06
Applicant: Amazon Technologies, Inc.
Inventor： Steve Huynh , Owen Cummings , Karl Gohde , Antonio Gabriel Perez de Tejada Martinez , Adam Douglas Morley , Graham Pedersen , James Christopher Sorenson, III
Abstract: A system capable of identifying and locking resources (e.g., items, tickets, etc.) may map resources to a bit vector and use bit vectors to efficiently identify and lock the resources. For example, tickets to a concert may be mapped to a bit vector and the system may generate an availability bit vector indicating an availability of the seat locations. Thus, the tickets may be reserved by changing a binary value for bits corresponding to individual tickets. In addition, the system may generate bit vectors corresponding to metadata associated with the seat locations (e.g., aisle seat, handicap accessible, first ten rows, back ten rows, etc.), allowing the system to easily identify available seat locations that satisfy the search request. As the bit vectors are relatively small and can be processed easily, the system may improve a latency and reduce an error rate associated with searching for and reserving seat locations.
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公开(公告)号：US20180157997A1
公开(公告)日：2018-06-07
申请号：US15369941
申请日：2016-12-06
Applicant: Amazon Technologies, Inc.
Inventor： Steve Huynh , Owen Cummings , Karl Gohde , Antonio Gabriel Perez de Tejada Martinez , Adam Douglas Morley , Graham Pedersen , James Christopher Sorenson, III
Abstract: A system capable of identifying and locking resources (e.g., items, tickets, etc.) may map resources to a bit vector and use bit vectors to efficiently identify and lock the resources. For example, tickets to a concert may be mapped to a bit vector and the system may generate an availability bit vector indicating an availability of the seat locations. Thus, the tickets may be reserved by changing a binary value for bits corresponding to individual tickets. In addition, the system may generate bit vectors corresponding to metadata associated with the seat locations (e.g., aisle seat, handicap accessible, first ten rows, back ten rows, etc.), allowing the system to easily identify available seat locations that satisfy the search request. As the bit vectors are relatively small and can be processed easily, the system may improve a latency and reduce an error rate associated with searching for and reserving seat locations.
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