公开(公告)号：US20240325878A1

公开(公告)日：2024-10-03

申请号：US18193615

申请日：2023-03-30

Applicant: Netflix, Inc.

Inventor： Olivier Jean Poitrey ,  James Smith ,  Chase Rubin Meusel

IPC: A63F13/22 ,  A63F13/21 ,  A63F13/50 ,  A63F13/92

CPC classification number: A63F13/22 ,  A63F13/21 ,  A63F13/50 ,  A63F13/92

Abstract: The disclosed computer-implemented methods and systems include generating an adaptive control layout in connection with a video game and for a second screen device while the video game is being played via a physically separate first screen device. For example, the disclosed methods and systems can determine that a trigger event has occurred relative to the video game based on control inputs from video game controls displayed on the second screen device. The disclosed systems and methods can generate a new control layout that is tailored to the trigger event. The disclosed systems and methods can automatically replace the first control layout with the second control layout on the second screen device without interrupting video game play. Various other methods, systems, and computer-readable media are also disclosed.

公开(公告)号：US20240303255A1

公开(公告)日：2024-09-12

申请号：US18181456

申请日：2023-03-09

Applicant: NETFLIX, INC.

Inventor： John Andrew KOSZEWNIK ,  Val MINAEV ,  Varun KHAITAN ,  Adam Taro LINDSAY ,  Jongyoon LEE ,  Jonathon Peter LEIBUNDGUTH

IPC: G06F16/28 ,  G06F16/22

CPC classification number: G06F16/285 ,  G06F16/2237

Abstract: In various embodiments a computer-implemented method for communicating sets of entities in a content catalog is disclosed. The method includes loading an entity index into memory at a microservice, where the entity index comprises entity identifiers corresponding to titles in a catalog, and where each identifier in the entity index is mapped to an ordinal number. The method also includes composing a message including a bitset to identify titles from the catalog, where a bit in the bitset is set if a position of the bit in the bitset corresponds to a respective ordinal number in the entity index associated with the one or more titles. Additionally, the method includes transmitting the message to a different microservice where a memory for the recipient microservice comprises a copy of the entity index, and where the bitset comprised within the message is decoded into entity identifiers using the entity index.

公开(公告)号：US12086627B2

公开(公告)日：2024-09-10

申请号：US16690075

申请日：2019-11-20

Applicant: NETFLIX, INC.

Inventor： Francisco J San Miguel ,  Ameya Vasani ,  Dmitry Vasilyev ,  Chih Hao Lin ,  Xiaomei Liu ,  Naveen Mareddy ,  Guanhua Ye ,  Megha Manohara ,  Anush Moorthy

IPC: H04N21/81 ,  G06F9/44 ,  G06F9/48 ,  G06F9/54 ,  H04L29/06 ,  H04L65/75 ,  H04N21/858 ,  H04N21/2343

CPC classification number: G06F9/48 ,  G06F9/44 ,  G06F9/547 ,  H04L65/75 ,  H04N21/8166 ,  H04N21/858 ,  H04N21/2343 ,  H04N21/8586

Abstract: In various embodiments, a serverless function agent determines that a client stub function has been invoked with a first set of arguments in a first execution environment. The serverless function agent then performs one or more operations on a media item that is associated with a first argument included in the first set of arguments to generate a second argument included in a second set of arguments. Notably, the first argument has a first data type and the second argument has a second data type. Subsequently, the serverless function agent invokes a function with the second set of arguments in a second execution environment. Advantageously, because the serverless function agent automatically performs operations on the media item, the overall amount of technical know-how and manual effort required to enable the function to successfully execute on a wide range of media items can be reduced.

公开(公告)号：US12075104B2

公开(公告)日：2024-08-27

申请号：US16352755

申请日：2019-03-13

Applicant: NETFLIX, INC.

Inventor： Christos Bampis ,  Zhi Li ,  Lavanya Sharan ,  Julie Novak ,  Martin Tingley

IPC: G06T7/00 ,  G06F18/214 ,  G06N20/20 ,  G06V10/774 ,  H04N19/154 ,  H04N21/25 ,  H04N17/00 ,  H04N19/147

CPC classification number: H04N21/252 ,  G06F18/214 ,  G06N20/20 ,  G06T7/0002 ,  G06V10/774 ,  H04N19/154 ,  G06T2207/10016 ,  G06T2207/20081 ,  G06T2207/30168 ,  H04N17/004 ,  H04N19/147

Abstract: In various embodiments, a bootstrapping training subsystem performs sampling operation(s) on a training database that includes subjective scores to generate resampled dataset. For each resampled dataset, the bootstrapping training subsystem performs machine learning operation(s) to generate a different bootstrap perceptual quality model. The bootstrapping training subsystem then uses the bootstrap perceptual quality models to quantify the accuracy of a perceptual quality score generated by a baseline perceptual quality model for a portion of encoded video content. Advantageously, relative to prior art solutions in which the accuracy of a perceptual quality score is unknown, the bootstrap perceptual quality models enable developers and software applications to draw more valid conclusions and/or more reliably optimize encoding operations based on the perceptual quality score.

公开(公告)号：US20240276076A1

公开(公告)日：2024-08-15

申请号：US18169755

申请日：2023-02-15

Applicant: NETFLIX, INC.

Inventor： Tara Lynn KOZUBACK ,  Thomas Edward LEACH ,  Carenina Garcia MOTION ,  Mark Howard PERRY ,  Kenneth Raymond THOMAS

IPC: H04N21/84 ,  H04N21/44 ,  H04N21/488 ,  H04N21/845

CPC classification number: H04N21/84 ,  H04N21/44008 ,  H04N21/4884 ,  H04N21/845

Abstract: In various embodiments a media processing pipeline generates and distributes streams for playback. The media processing pipeline encodes a first video source file that is associated with a media title to generate a first video stream set. The media processing pipeline encodes a second video source file that is associated with the media title to generate a second video stream set. The media processing pipeline generates first video metadata for the first video stream set and second video metadata for the second video stream set. The first video metadata and the second video metadata include different sets of values for a set of video characteristics. The media processing pipeline generates a media package that includes the first video stream set, the first video metadata, the second video stream set, and the second video metadata. The media processing pipeline transmits the media package to at least one server device.

公开(公告)号：US12058398B1

公开(公告)日：2024-08-06

申请号：US18169765

申请日：2023-02-15

Applicant: NETFLIX, INC.

Inventor： Tara Lynn Kozuback ,  Thomas Edward Leach ,  Carenina Garcia Motion ,  Mark Howard Perry ,  Kenneth Raymond Thomas

IPC: H04N21/2668 ,  H04N21/258 ,  H04N21/8549 ,  H04N21/858

CPC classification number: H04N21/2668 ,  H04N21/25891 ,  H04N21/8549 ,  H04N21/8586

Abstract: In various embodiments, a manifest customization application generates presentations of media titles for playback. The manifest customization application selects a first set of video streams from multiple sets of video steams that are associated with a media title and included in a media package video streams based on a first preference associated with a user. The manifest customization application selects a first set audio streams from multiple sets of audio streams included in the media package based on a second preference associated with the user. The manifest customization application generates a recommended presentation based on the first set of video streams and the first set of audio streams. The manifest customization application generates a manifest file that allows the media title to be played back in accordance with at least the recommended presentation.

公开(公告)号：US11985164B2

公开(公告)日：2024-05-14

申请号：US18306877

申请日：2023-04-25

Applicant: Netflix, Inc.

Inventor： Randall Stewart

IPC: H04L9/40 ,  H04W12/10 ,  H04W12/108 ,  H04W12/122 ,  H04W12/30 ,  H04W12/00 ,  H04W12/102

CPC classification number: H04L63/1458 ,  H04L63/1425 ,  H04W12/108 ,  H04W12/122 ,  H04L2463/141 ,  H04W12/00 ,  H04W12/10 ,  H04W12/102 ,  H04W12/30

Abstract: The disclosed computer-implemented method includes applying transport protocol heuristics to selective acknowledgement (SACK) messages received at a network adapter from a network node. The transport protocol heuristics identify threshold values for operational functions that are performed when processing the SACK messages. The method further includes determining, by applying the transport protocol heuristics to the SACK messages received from the network node, that the threshold values for the transport protocol heuristics have been reached. In response to determining that the threshold values have been reached, the method includes identifying the network node as a security threat and taking remedial actions to mitigate the security threat. Various other methods, systems, and computer-readable media are also disclosed.

公开(公告)号：US11983923B1

公开(公告)日：2024-05-14

申请号：US18063107

申请日：2022-12-08

Applicant: NETFLIX, INC.

Inventor： Yadong Wang ,  Kyle Tacke ,  Shilpa Jois Rao

IPC: G06V20/40 ,  G10L25/57 ,  G10L25/60 ,  G11B27/031

CPC classification number: G06V20/41 ,  G06V20/48 ,  G10L25/57 ,  G10L25/60 ,  G11B27/031 ,  G06V2201/10

Abstract: The disclosed computer-implemented method may include receiving, as input, an audio/video data object; isolating a video stream of a visible potential speaker over a plurality of frames of the audio/video data object; isolating an audio stream over the plurality of frames; providing the isolated video stream and the isolated audio stream to a machine learning model trained with contrastive learning, the contrastive learning using (i) a corpus of video segments of visible speakers with corresponding original audio for positive samples; and (ii) a corpus of video segments of visible speakers with corresponding dubbed audio for negative samples; and evaluating a match between the isolated audio stream and the isolated video stream based at least in part on an output of the machine learning model. Various other methods, systems, and computer-readable media are also disclosed.

公开(公告)号：US20240121450A1

公开(公告)日：2024-04-11

申请号：US18389599

申请日：2023-12-19

Applicant: Netflix, Inc.

Inventor： Videsh Sadafal ,  Ishaan Shastri

IPC: H04N21/231 ,  G06F3/06 ,  H04N21/218 ,  H04N21/2312

CPC classification number: H04N21/23103 ,  G06F3/0613 ,  G06F3/0647 ,  G06F3/0688 ,  G06F3/0689 ,  H04N21/2181 ,  H04N21/2312

Abstract: The disclosed computer-implemented method includes accessing cluster hardware information that identifies at least two different types of storage media within a cluster and provides an indication of a respective amount of data throughput for each identified type of storage media. The method next includes accessing popularity information for digital content that is to be stored in the cluster. The popularity information indicates how often the digital content is predicted to be accessed over a specified future period of time. The method also includes allocating the digital content on the different types of storage media within the cluster according to the popularity information. Accordingly, digital content predicted to have higher popularity is placed on storage media types with higher throughput amounts, and digital content predicted to have lower popularity is placed on storage media types with lower throughput amounts. Various other methods, systems, and computer-readable media are also disclosed.

公开(公告)号：US20240121402A1

公开(公告)日：2024-04-11

申请号：US17937033

申请日：2022-09-30

Applicant: NETFLIX, INC.

Inventor： Christos G. BAMPIS ,  Zhi LI

IPC: H04N19/154 ,  H04N19/136 ,  H04N19/172 ,  H04N19/182 ,  H04N19/184 ,  H04N19/42

CPC classification number: H04N19/154 ,  H04N19/136 ,  H04N19/172 ,  H04N19/182 ,  H04N19/184 ,  H04N19/42

Abstract: In various embodiments, a quality inference application estimates perceived video quality for reconstructed video. The quality inference application computes a set of feature values corresponding to a set of visual quality metrics based on a reconstructed frame, a source frame, a display resolution, and a normalized viewing distance. The quality inference application executes a trained perceptual quality model on the set of feature values to generate a perceptual quality score that indicates a perceived visual quality level for the reconstructed frame. The quality inference application performs one or more operations associated with an encoding process based on the perceptual quality score.