Abstract: A monitoring device includes a video buffer model and a user model. The video buffer model monitors a media program streaming across a network to a media client for perceivable transmission impairments. The user model reflects user dissatisfaction due to types of perceivable transmission impairments and timing, duration, and frequency of perceivable transmission impairments so as to estimate a quality of experience of the media program. The parametric model can include one or more parameterized functions, and a set of parameters used in at least one of the one or more of the parameterized functions at a point in time during the streaming of the media program can be based on a type of perceivable transmission impairment associated with the point in time.

Abstract: Systems, methods and apparatus are provided for computing quality scores for a media session delivered using an adaptive streaming protocol, where the quality score may be an estimate of a mean opinion score. The quality score reflects the impact of network delivery on a viewer's quality of experience (QoE). In particular, the quality score is generally based on the effects of stream switch events, as stream switches may be the result of impaired network delivery. Other network events, such as re-buffering events may also be incorporated in the score.

Abstract: A monitoring system includes a video network analyzer processes the packet data to generate network and media session data relating to the distribution of video content via the data distribution network in at least one media session, wherein the network and media session data includes at least one session metric, location data, protocol identification data, video encoding parameter data, and audio encoding parameter data. An analytics database stores the network and media session data for generation of report data.

Abstract: A monitoring device includes a video buffer model and a user model. The video buffer model monitors a media program streaming across a network to a media client for perceivable transmission impairments. The user model reflects user dissatisfaction due to types of perceivable transmission impairments and timing, duration, and frequency of perceivable transmission impairments so as to estimate a quality of experience of the media program. The parametric model can include one or more parameterized functions, and a set of parameters used in at least one of the one or more of the parameterized functions at a point in time during the streaming of the media program can be based on a type of perceivable transmission impairment associated with the point in time.

Abstract: Systems and methods for adaptive streaming control include a network, a network device, and a plurality of media clients served by the network. The network device monitors media session conditions for a media session with a media client served by the network and enforces policy on the media session based on the media session conditions. The network device can enforce policy by determining a current estimated media quality of the media session based on the monitored media session conditions, determining a target media quality for the media session, and modifying the media session responsive to a difference between the current estimated media quality and the target media quality exceeding a threshold.

Abstract: In a networked system connecting a subscriber to a content source via one or more networks, a computer-implemented method includes instantiating a session model for a media session between the subscriber and the content source, the session model to generate session metadata from application-layer interactions between the subscriber and the content source. The method further includes instantiating an interaction model in response to detecting an application-layer interaction in a transport flow of the subscriber, the application-layer interaction comprising media data for the media session. The method also includes generating, at the interaction model, interaction metadata representative of the application-layer interaction, and processing at least one of the interaction metadata and the media data at the session model to generate session metadata responsive to matching the interaction model to the session model.

Abstract: A monitoring system includes a video network analyzer processes the packet data to generate network and media session data relating to the distribution of video content via the data distribution network in at least one media session, wherein the network and media session data includes at least one session metric, location data, protocol identification data, video encoding parameter data, and audio encoding parameter data. An analytics database stores the network and media session data for generation of report data.

Abstract: Systems, methods and apparatus are provided for computing quality scores for a media session delivered using an adaptive streaming protocol, where the quality score may be an estimate of a mean opinion score. The quality score reflects the impact of network delivery on a viewer's quality of experience (QoE). In particular, the quality score is generally based on the effects of stream switch events, as stream switches may be the result of impaired network delivery. Other network events, such as re-buffering events may also be incorporated in the score.