Techniques for client-controlled pacing of media streaming

    公开(公告)号:US11863607B2

    公开(公告)日:2024-01-02

    申请号:US17495772

    申请日:2021-10-06

    Applicant: NETFLIX, INC.

    CPC classification number: H04L65/70 H04L65/80 H04L67/02 H04L69/326

    Abstract: In various embodiments, a media delivery application transmits encoded chunks of a media title to a playback application. In operation, the media delivery application receives, via a media channel, an encoded chunk request that has been transmitted over a TCP connection. The media delivery application also receives, via a side channel, a pacing specification that is associated with the encoded chunk request and has been transmitted over the TCP connection. As per the encoded chunk request, the media delivery application retrieves encoded chunk content. The media delivery application sets a parameter associated with the TCP connection equal to a parameter value based on the pacing specification. Subsequently, the media delivery application causes TCP segments corresponding to the encoded chunk content to be transmitted, via the media channel, over the TCP connection in accordance with the first parameter value.

    Techniques for determining an upper bound on visual quality over a completed streaming session

    公开(公告)号:US10911513B2

    公开(公告)日:2021-02-02

    申请号:US16036600

    申请日:2018-07-16

    Applicant: NETFLIX, INC.

    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.

    Techniques for determining an upper bound on visual quality over a completed streaming session

    公开(公告)号:US11778010B2

    公开(公告)日:2023-10-03

    申请号:US17164523

    申请日:2021-02-01

    Applicant: NETFLIX, INC.

    CPC classification number: H04L65/70 H04L65/613 H04L65/80

    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.

    Techniques for evaluating a video rate selection algorithm based on a greedy optimization of total download size over a completed streaming session

    公开(公告)号:US11522935B2

    公开(公告)日:2022-12-06

    申请号:US17113884

    申请日:2020-12-07

    Applicant: NETFLIX, INC.

    Abstract: In various embodiments, a hindsight application computes a total download size for a sequence of encoded chunks associated with a media title for evaluation of at least one aspect of a video streaming service. The hindsight application computes a feasible download end time associated with a source chunk of the media title based on a network throughput trace and a subsequent feasible download end time associated with a subsequent source chunk of the media title. The hindsight application then selects an encoded chunk associated with the source chunk based on the network throughput trace, the feasible download end time, and a preceding download end time associated with a preceding source chunk of the media title. Subsequently, the hindsight application computes the total download size based on the number of encoded bits included in the first encoded chunk. The total download size correlates to an upper bound on visual quality.

    Techniques for evaluating a video rate selection algorithm based on a greedy optimization of total download size over a completed streaming session

    公开(公告)号:US10862942B2

    公开(公告)日:2020-12-08

    申请号:US16036606

    申请日:2018-07-16

    Applicant: NETFLIX, INC.

    Abstract: In various embodiments, a hindsight application computes a total download size for a sequence of encoded chunks associated with a media title for evaluation of at least one aspect of a video streaming service. The hindsight application computes a feasible download end time associated with a source chunk of the media title based on a network throughput trace and a subsequent feasible download end time associated with a subsequent source chunk of the media title. The hindsight application then selects an encoded chunk associated with the source chunk based on the network throughput trace, the feasible download end time, and a preceding download end time associated with a preceding source chunk of the media title. Subsequently, the hindsight application computes the total download size based on the number of encoded bits included in the first encoded chunk. The total download size correlates to an upper bound on visual quality.

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