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:US20210092178A1

    公开(公告)日:2021-03-25

    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 OVER A COMPLETED STREAMING SESSION

    公开(公告)号:US20190364084A1

    公开(公告)日:2019-11-28

    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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