Hulu, LLC

Beijing Yojaja Software Technology Development Co., Ltd.

Beijing Hulu Software Technology Development Co., Ltd.

Disney Enterprises, Inc.

Lemei Huang

Tongyu Dai

Si Chen

Wenhao Zhang

Chenyu Tian

Deliang Fu

Xuchang Huangfu

In some embodiments, a method receives quality metric values for profile levels in a plurality of profile levels for a segment of content. An available bandwidth and associated bitrates of profile levels in the plurality of profile levels are evaluated to select a first profile level. The quality metric values for profile levels in the plurality of profile levels are evaluated to select a second profile level. The method selects a profile level in the plurality of profile levels based on the first profile level and the second profile level. The profile level that is selected is requested for the segment.

Adaptive bitrate streaming using video quality information

In some embodiments, a method sends information for a sample of content, a first question, and a second question for output on an interface. The first question receives, from a subject, a first response for a sample level rating for an artifact that is perceived to be visible in the sample and the second question receives, from the subject, a second response for regions in the sample that are perceived to contain the artifact. The method receives the first response for the sample level rating and the second response for regions that are perceived to contain the artifact. First responses are combined from multiple subjects to generate an opinion score for the sample and second responses are combined to generate region scores for regions. The method generates training data from the opinion score and the region scores to train a process to perform an action based on the artifacts.

Subjective quality assessment tool for image/video artifacts

In some embodiments, a method receives a network trace from a playback session of a delivery of content being managed by a content management system. The network trace is decomposed into a first sub-trace and a second sub-trace based on a threshold. The threshold is used to divide the network trace into the first sub-trace and the second sub-trace. A value is extracted for a feature for the network trace based on the first sub-trace. The method classifies the network trace into a category based on the value and performs an action based on the category for the content management system.

Network trace categorization in content delivery

In some embodiments, a method receives a request for an instance of media content in a current session. A state is retrieved for content delivery networks that is determined for a session in a set of sessions. The state includes a first set of values for a performance metric, and the first set of values is associated with the content delivery networks. The method determines a second set of values for the performance metric for the current session. The second set of values is associated with the content delivery networks. A content delivery network is selected for the request in the current session based on treating the current session as a session in the set of sessions. The session for the current session is after the session for the state in the set of sessions.

Content delivery network (CDN) selection using performance metric

In some embodiments, a method determines an input value for a request for content and retrieves a plurality of states for a plurality of content delivery networks. The state includes a component that is based on variance. A plurality of scores for a plurality of content delivery networks is generated based on the input value and the plurality of states. A score for a content delivery network is generated using a parameter value for the component and the input value. The method selects a content delivery network from the plurality of content delivery networks based on the score for the content delivery network and outputs information for the selected content delivery network to cause the selected content delivery network to service the request to deliver the content.

Selection of content delivery networks using agents

In some embodiments, during playback of a video, using a parameter value of an adaptive bitrate algorithm to analyze playback of the video. The adaptive bitrate algorithm uses the parameter value to select a profile from a plurality of profiles to use to request segments of the video. A method selects a scenario in a plurality of scenarios when a playback condition meets a characteristic value of the scenario. The plurality of scenarios are associated with a different characteristic value. The method adjusts the parameter value of the adaptive bitrate algorithm based on the scenario to generate an adjusted parameter value. The plurality of scenarios have at least one different parameter value. The adjusted parameter value of the adaptive bitrate algorithm is used to analyze the playback of the video.

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Beijing, China

Lemei Huang