A system and method for training and executing an adaptive bitrate (ABR) controller can include clustering content into content clusters based on content metadata, clustering network scenarios based on network information, normalizing input measurements, training the ABR controller for each content within at least one of a given content cluster and a given network scenario cluster by determining network information and network metadata, associated with the respective content, determining a content bitrate, determining a reward associated with the content bitrate, and training the ABR controller based on the reward.

Systems and methods are described herein for streaming during unavailability of a content server. Upon determining that there are conditions indicating buffering issues during delivery of a media asset, a server determines a first group of devices suitable for receiving the media asset from the server and sharing the media asset on a peer-to-peer network. Then, the server determines a second group of devices suitable for receiving the media asset on a peer-to-peer network from a first group device. The server then determines groupings within which to share and receive the media asset. Next, the server transmits instructions to the devices in the first group to maintain in buffer and share certain portions of the media asset with the second group devices within their grouping. Finally, the server updates information detailing the media asset portions the devices are maintaining in buffer and sharing.

Aspects of the subject disclosure may include, for example, setting a streaming rate cap for a client device; obtaining a bitrate ladder associated with the client device, wherein the bitrate ladder comprises a listing of a plurality of bitrates that the client device can request in connection with receiving streaming data; determining a boost rate for the client device, wherein the boost rate is greater than the streaming rate cap such that the boost rate enables the client device to receive the streaming data faster than the client device would otherwise receive the streaming data under the streaming rate cap, and wherein the boost rate is based upon the bitrate ladder; and enabling delivery to the client device of the streaming data up to the boost rate; wherein a network device is part of a network through which the streaming data is delivered to the client device. Other embodiments are disclosed.

Systems and methods are disclosed herein for adaptively buffering content of a media asset from a media source when a different media asset from a different media source is being played at user equipment. The media guidance application may predict when and which channel or other media source the user is likely to switch to and then buffer content from the predicted channel or other media source accordingly. The pre-tuning buffering may enhance the user experience by reduce tuning latency when the user switches channels.

Frames of a video stream collected at first and second points along a video delivery chain are buffered into first and second buffers, respectively, the second point being downstream the video delivery chain from the first point. A control group is identified as a subset of frames of the second buffer. Correlations of extracted features of the control group to extracted features of successive windows of frames of the first buffer are computed, the extracted features being based on spatial information and temporal information of the video stream. A delay between the video stream collected at the first point and the video stream collected at the second point is identified according to a maximum correlation of the correlations.

A system obtains a data set representing immersive video content for display at a display time, including first data representing the content according to a first level of detail, and second data representing the content according to a second higher level of detail. During one or more first times prior to the display time, the system causes at least a portion of the first data to be stored in a buffer. During one or more second times prior to the display time, the system generates a prediction of a viewport for displaying the content to a user at the display time, identifies a portion of the second data corresponding to the prediction of the viewport, and causes the identified portion of the second data to be stored in the video buffer. At the display time, the system causes the content to be displayed to the user using the video buffer.

Systems and methods for dynamically multiplexing requested linear media channels and network data on forward link traffic streams of a communication link to a craft media delivery system are provided. Furthermore, systems and methods for receiving dynamically multiplexed requested linear media channels and network data on forward link traffic streams of a communication link by a craft media delivery system are also provided.

Enhanced trick-play modes for video content that is being streamed to a client from a server are described. In an embodiment, the enhanced trick-play modes are provided with relatively low latency and high quality using trick-play optimization techniques for a streaming environment, avoiding the need to stream the entire contents of the portions through which the viewer is fast forwarding. By employing sophisticated selection criteria of which parts of the content to download at what time, the quality of the playback experience is improved versus that which would conventionally be possible when using a simple sequential frame data download. The streaming client maintains a cache of nearby significant frames, such as nearby key frames, in forward and/or reverse directions of the current playback position, without having to download the entire portions of the video stream in which the significant frames reside. The trick-play modes utilize these frames.

Technologies for selectively streaming video based on mapping buffer data to download rates. The technologies can include sampling download rates of a video player prior to or during downloading of a first video segment to the video player. The technologies can include determining a range of download rates of the video player based at least on the sampled download rates. The technologies can include determining an amount of accumulated video data in a buffer of the video player immediately prior to or during the downloading of the first video segment. Also, the technologies can include mapping the determined amount of accumulated video data to a download rate within the determined range of download rates using a mapping function, and determining a second video segment quality for a second video segment based at least on the mapped download rate.

A method for managing Quality of Experience (QoE) for video streaming traffic flow on a network, the method including: collecting data associated with a plurality of video streaming traffic flows; creating a model based on the collected data; determining factors associated with a new video streaming traffic flow; analyzing the factors based on the model; determining a QoE score based on the analysis. A system for managing QoE for video streaming traffic flow on a network, the system including: a factor determination module configured to collect data associated with a plurality of video streaming traffic flows; a model module configured to create a model based on the collected data; an analysis module configured to determine factors associated with a new video streaming traffic flow and analyze the factors based on the model; and a QoE engine configured to determine a QoE score based on the analysis.