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    Techniques for identifying errors introduced during encoding
    261.
    发明授权
    Techniques for identifying errors introduced during encoding 审中-公开

    公开(公告)号：US10674180B2

    公开(公告)日：2020-06-02

    申请号：US14622771

    申请日：2015-02-13

    Applicant: NETFLIX, Inc

    Inventor： Anne Aaron ,  Zhonghua Ma

    IPC: H04N19/65 ,  H04N19/176 ,  H04N17/00

    Abstract: In one embodiment of the present invention, an encode validator identifies and classifies errors introduced during the parallel chunk-based translation of a source to a corresponding aggregate encode. In operation, upon receiving a source for encoding, a frame difference generator creates a frame difference file for the source. A parallel encoder then distributes per-chunk encoding operations across machines and creates an aggregate encode. The encode validator decodes the aggregate encode and creates a corresponding frame difference file. Subsequently, the encode validator performs phase correlation operations between the two frame difference files to detect errors generated by encoding process faults (i.e., dropping a frame, etc.) while suppressing discrepancies inherent in encoding, such as those attributable to low bit-rate encoding. Advantageously, since the encode validator leverages frame difference files, this indirect verification technique enables efficient debugging of parallel encoding processes in which the complete source is unavailable for post-encode analysis.

    TECHNIQUES FOR IDENTIFYING SYNCHRONIZATION ERRORS IN MEDIA TITLES
    262.
    发明申请
    TECHNIQUES FOR IDENTIFYING SYNCHRONIZATION ERRORS IN MEDIA TITLES 审中-公开

    公开(公告)号：US20200160889A1

    公开(公告)日：2020-05-21

    申请号：US16687209

    申请日：2019-11-18

    Applicant: NETFLIX, INC.

    Inventor： Rohit Puri ,  Naji Khosravan ,  Shervin Ardeshir Behrostaghi

    IPC: G11B27/36 ,  G10L25/57 ,  G10L25/30 ,  G06K9/00 ,  G06K9/62 ,  G06N3/04 ,  G06N3/08

    Abstract: A neural network system that is trained to identify one or more portions of a media title where synchronization errors are likely to be present. The neural network system is trained based on a first set of media titles where synchronization errors are present and a second set of media titles where synchronization errors are absent. The second set of media titles can be generated by introducing synchronization errors into a set of media titles that otherwise lack synchronization errors. Via training, the neural network system learns to identify specific visual features included in one or more video frames and corresponding audio features that should be played back in synchrony with the associated visual features. Accordingly, when presented with a media title that includes synchronization errors, the neural network can indicate the specific frames where synchronization errors are likely to be present.

    Global recommendation systems for overlapping media catalogs
    264.
    发明授权
    Global recommendation systems for overlapping media catalogs 有权

    公开(公告)号：US10552470B2

    公开(公告)日：2020-02-04

    申请号：US15079767

    申请日：2016-03-24

    Applicant: NETFLIX, INC.

    Inventor： Michael Todd ,  Ehtsham Elahi ,  Aish Fenton ,  Carlos Gomez Uribe

    IPC: G06F17/30 ,  G06F16/435 ,  H04L29/06 ,  H04L29/08 ,  G06F16/28 ,  G06F16/9535 ,  G06F16/2457

    Abstract: A computer-implemented method and a system for implementation the method are provided. The method includes receiving user activity data for a first set of users of a streaming media system, in which the first set of users having access to a first catalog. Additional user activity data for a second set of users is received. The second set of users has access to a second catalog, which includes media items also present in the first catalog. The second catalog further includes an exclusive media item that is not included in the first catalog. A probability that a user of the first set of users would play the exclusive media item if presented by the streaming media system with the exclusive media item is determined. Information is provided to a user of the second set of users as a recommendation to play the exclusive media item based on the probability.

    TECHNIQUES FOR DETERMINING AN UPPER BOUND ON VISUAL QUALITY OVER A COMPLETED STREAMING SESSION
    265.
    发明申请
    TECHNIQUES FOR DETERMINING AN UPPER BOUND ON VISUAL QUALITY OVER A COMPLETED STREAMING SESSION 审中-公开

    公开(公告)号：US20200021634A1

    公开(公告)日：2020-01-16

    申请号：US16036600

    申请日：2018-07-16

    Applicant: NETFLIX, INC.

    Inventor： Zhi LI ,  Te-Yuan HUANG

    IPC: H04L29/06

    Abstract: In various embodiments, a hindsight application computes a hindsight metric value for evaluation of a video rate selection algorithm. The hindsight application determines a first encoding option associated with a source chunk of a media title based on a network throughput trace and a buffer trellis. The hindsight application determines that the first encoding option is associated with a buffered duration range. The buffered duration range is also associated with a second encoding option that is stored in the buffer trellis. After determining that the first encoding option is associated with a higher visual quality than the second encoding option, the hindsight application stores the first encoding option instead of the second encoding option in the buffer trellis to generate a modified buffer trellis. Finally, the hindsight application computes a hindsight metric value associated with a sequence of encoded chunks of the media title based on the modified buffer trellis.

    Detecting segments of a video program through image comparisons
    267.
    发明授权
    Detecting segments of a video program through image comparisons 有权

    公开(公告)号：US10452919B2

    公开(公告)日：2019-10-22

    申请号：US15669949

    申请日：2017-08-06

    Applicant: NETFLIX, INC.

    Inventor： Apurvakumar Kansara

    IPC: G06K9/00 ,  G11B27/00 ,  G11B27/34 ,  G06K9/46 ,  H04N21/234 ,  H04N21/458 ,  H04N21/6547

    Abstract: In an embodiment, a data store storing a first image and a second image; a computer processor coupled to the data store and programmed to: generate a first fingerprint of the first image based on a first plurality of pixels from the first image stored in the data store; generate a second fingerprint of the second image based on a second plurality of pixels from the second image stored in the data store; determine a closeness value between the first fingerprint and the second fingerprint; determine, based on the closeness value, whether the first image matches the second image.

    Web server constraint support
    268.
    发明授权
    Web server constraint support 有权

    公开(公告)号：US10425500B2

    公开(公告)日：2019-09-24

    申请号：US15130679

    申请日：2016-04-15

    Applicant: Netflix, Inc.

    Inventor： John Funge ,  Mark Watson

    IPC: H04L29/08 ,  H04L12/807 ,  H04L12/813 ,  H04L29/06 ,  H04L12/803 ,  H04L12/801

    Abstract: Techniques are disclosed for a web server to support constraints specified by a client. In one embodiment, the web server receives, from the client, a request for one or more blocks of data. The request includes one or more constraints provided by the client. The web server may perform an action responsive to an increase in network congestion, based on the one or more constraints. Accordingly, the web server may handle the request in a manner that more closely meets the needs of the client.

    TECHNIQUES FOR DETECTING MEDIA PLAYBACK ERRORS
    269.
    发明申请
    TECHNIQUES FOR DETECTING MEDIA PLAYBACK ERRORS 审中-公开

    公开(公告)号：US20190281324A1

    公开(公告)日：2019-09-12

    申请号：US16422903

    申请日：2019-05-24

    Applicant: NETFLIX, Inc.

    Inventor： Frederic TURMEL ,  Nicholas NEWELL

    IPC: H04N19/89 ,  H04L12/24 ,  H04L12/26 ,  H04N17/00 ,  H04L29/06 ,  H04N17/04

    Abstract: An endpoint device outputs frames of test media during a testing procedure. Each frame of test media includes a test pattern. A test module coupled to the endpoint device samples the test pattern and transmits sample data to a media test engine. The media test engine decodes a binary number from the test pattern and then converts the binary number to an integer value that is associated with the corresponding frame. The media test engine then analyzes sequences of these integer values to identify playback errors associated with the endpoint device.

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