公开(公告)号：US20150245093A1

公开(公告)日：2015-08-27

申请号：US14697527

申请日：2015-04-27

Applicant: NETFLIX, INC.

Inventor： John FUNGE ,  Greg PETERS

IPC: H04N21/44 ,  H04N21/234 ,  H04N21/647 ,  H04N21/43 ,  H04N21/439 ,  H04N21/231 ,  H04N21/239

CPC classification number: H04L65/4069 ,  H04L43/0864 ,  H04L47/621 ,  H04L65/4084 ,  H04L65/80 ,  H04N21/231 ,  H04N21/23406 ,  H04N21/2393 ,  H04N21/4307 ,  H04N21/4392 ,  H04N21/44004 ,  H04N21/647

Abstract: One embodiment of the present invention sets forth a technique for identifying and pre-buffering audio/video stream pairs. The method includes the steps of predictively identifying for pre-buffering at least one audio/video stream pair that may be selected for playback by a user subsequent to a currently playing audio/video stream pair, computing a first rate for pre-buffering an audio portion of the at least one audio/video stream pair and a second rate for pre-buffering a video portion of the at least one audio/video stream pair, downloading the audio portion at the first rate and downloading the video portion at the second rate, and storing the downloaded audio portion and the downloaded video portion in a content buffer.

Abstract translation: 本发明的一个实施例提出了一种用于识别和预缓冲音频/视频流对的技术。 该方法包括以下步骤：预先识别用于预缓冲至少一个音频/视频流对，其可以被选择用于在当前播放的音频/视频流对之后的用户重放，计算用于预缓冲音频的第一速率 所述至少一个音频/视频流对的一部分和用于预缓冲所述至少一个音频/视频流对的视频部分的第二速率，以所述第一速率下载所述音频部分，并以所述第二速率下载所述视频部分 并将下载的音频部分和下载的视频部分存储在内容缓冲器中。

公开(公告)号：US20170279868A1

公开(公告)日：2017-09-28

申请号：US15619365

申请日：2017-06-09

Applicant: NETFLIX, INC.

Inventor： Gregory S. ORZELL ,  John FUNGE ,  David CHEN

IPC: H04L29/06 ,  H04H20/12 ,  H04H60/33 ,  H04H60/66

CPC classification number: H04L65/80 ,  H04H20/12 ,  H04H60/33 ,  H04H60/66 ,  H04L67/42

Abstract: Techniques are described for detecting faults in media content based on the behavior of users viewing the media content. Embodiments stream a first instance of media content to one or more users. The behavior of the one or more users is monitored while the users are viewing the streaming first instance of media content. Embodiments then determine whether the first instance of media content is faulty, based on the monitored behavior of the one or more users.

公开(公告)号：US20170034233A1

公开(公告)日：2017-02-02

申请号：US15293738

申请日：2016-10-14

Applicant: Netflix Inc.

Inventor： John FUNGE ,  Greg PETERS

IPC: H04L29/06 ,  H04L12/863

CPC classification number: H04L65/4069 ,  H04L43/0864 ,  H04L47/621 ,  H04L65/4084 ,  H04L65/80 ,  H04N21/231 ,  H04N21/23406 ,  H04N21/2393 ,  H04N21/4307 ,  H04N21/4392 ,  H04N21/44004 ,  H04N21/647

Abstract: One embodiment of the present invention sets forth a technique for identifying and pre-buffering audio/video stream pairs. The method includes the steps of predictively identifying for pre-buffering at least one audio/video stream pair that may be selected for playback by a user subsequent to a currently playing audio/video stream pair, computing a first rate for pre-buffering an audio portion of the at least one audio/video stream pair and a second rate for pre-buffering a video portion of the at least one audio/video stream pair, downloading the audio portion at the first rate and downloading the video portion at the second rate, and storing the downloaded audio portion and the downloaded video portion in a content buffer.

Abstract translation: 本发明的一个实施例提出了一种用于识别和预缓冲音频/视频流对的技术。 该方法包括以下步骤：预先识别用于预缓冲至少一个音频/视频流对，其可以被选择用于在当前播放的音频/视频流对之后的用户重放，计算用于预缓冲音频的第一速率 所述至少一个音频/视频流对的一部分和用于预缓冲所述至少一个音频/视频流对的视频部分的第二速率，以所述第一速率下载所述音频部分并以所述第二速率下载所述视频部分 并将下载的音频部分和下载的视频部分存储在内容缓冲器中。

公开(公告)号：US20170034239A9

公开(公告)日：2017-02-02

申请号：US14584174

申请日：2014-12-29

Applicant: NETFLIX, INC.

Inventor： Gregory ORZELL ,  John FUNGE ,  David CHEN

IPC: H04L29/06

CPC classification number: H04L65/80 ,  H04H20/12 ,  H04H60/33 ,  H04H60/66 ,  H04L67/42

Abstract: Techniques are described for detecting faults in media content based on the behavior of users viewing the media content. Embodiments stream a first instance of media content to one or more users. The behavior of the one or more users is monitored while the users are viewing the streaming first instance of media content. Embodiments then determine whether the first instance of media content is faulty, based on the monitored behavior of the one or more users.

Abstract translation: 描述了基于观看媒体内容的用户的行为来检测媒体内容中的故障的技术。 实施例将媒体内容的第一实例流向一个或多个用户。 当用户正在观看媒体内容的流媒体第一实例时，监视一个或多个用户的行为。 然后，实施例基于所监视的一个或多个用户的行为来确定媒体内容的第一实例是否是故障的。

公开(公告)号：US20150113103A1

公开(公告)日：2015-04-23

申请号：US14584174

申请日：2014-12-29

Applicant: NETFLIX, INC.

Inventor： Gregory ORZELL ,  John FUNGE ,  David CHEN

IPC: H04L29/06

CPC classification number: H04L65/80 ,  H04H20/12 ,  H04H60/33 ,  H04H60/66 ,  H04L67/42

Abstract: Techniques are described for detecting faults in media content based on the behavior of users viewing the media content. Embodiments stream a first instance of media content to one or more users. The behavior of the one or more users is monitored while the users are viewing the streaming first instance of media content. Embodiments then determine whether the first instance of media content is faulty, based on the monitored behavior of the one or more users.

Abstract translation: 描述了基于观看媒体内容的用户的行为来检测媒体内容中的故障的技术。 实施例将媒体内容的第一实例流向一个或多个用户。 当用户正在观看媒体内容的流媒体第一实例时，监视一个或多个用户的行为。 然后，实施例基于所监视的一个或多个用户的行为来确定媒体内容的第一实例是否是故障的。

公开(公告)号：US20140108671A1

公开(公告)日：2014-04-17

申请号：US13654301

申请日：2012-10-17

Applicant: NETFLIX, INC.

Inventor： Mark WATSON ,  Neil D. HUNT ,  John FUNGE ,  Anthony N. PARK

IPC: G06F15/16

CPC classification number: H04N21/6581 ,  H04L65/4084 ,  H04L67/10 ,  H04L67/322 ,  H04N21/23106 ,  H04N21/23116 ,  H04N21/26258 ,  H04N21/44209

Abstract: Techniques are disclosed for generating preference rankings in response to requests for streaming media content received from client devices. The preference rankings are used to indirectly partition streaming media content across different content distribution networks (CDNs). Such partitions may be referred to as a “soft” partition, as all of the streaming media content remains available from each CDN. That is, the partitioning of content across CDNs is not absolute, and any content item may be requested from any CDN. Doing so ensures that content remains available even where the preferred CDN for a given content item fails, while at the same time increasing the probability of a cache hit at the CDNs, without increasing the cost or the actual cache sizes of the content caches of different CDNs.

Abstract translation: 公开了用于响应于从客户端设备接收的流媒体内容的请求产生偏好排序的技术。 偏好排序用于间接分配不同内容分发网络（CDN）之间的流媒体内容。 这样的分区可以被称为“软”分区，因为所有流媒体内容保持从每个CDN可用。 也就是说，跨CDN的内容分区不是绝对的，并且可以从任何CDN请求任何内容项。 即使在给定内容项目的首选CDN失败的情况下，内容仍然可用，同时增加了CDN上的缓存命中的概率，而不会增加不同内容缓存的成本或实际高速缓存大小 CDNs。