Abstract:
Various implementations disclosed herein enable client devices to share a network resource in order to produce more evenly distributed perceptual playback quality levels within each subscription tier. Sharing of a network resource is facilitated by providing client devices with one or more QoE distribution indicator values, which enables client device participation in the allocation of the network resource. In some implementations, a client device method includes determining a local QoE level value, and then modifying a representation selection of media content data based on the local QoE and one or more QoE distribution indicator values. The local QoE level value characterizes perceptual playback quality of media content data received by the client device using the shared network resource. The QoE distribution indicator values characterize at least in part the relative QoE values associated with a plurality of client devices sharing the shared network resource with the client device.
Abstract:
Presented herein are techniques for assignment of an identity to a group of captured images. A plurality of captured images that each include an image of at least one person are obtained. For each of the plurality of captured images, relational metrics indicating a relationship between the image of the person in a respective captured image and the images of the persons in each of the remaining plurality of captured images is calculated. Based on the relational metrics, a clustering process is performed to generate one or more clusters from the plurality of captured images. Each of the one or more clusters are associated with an identity of an identity database. The one or more clusters may each be associated with an existing identity of the identity database or an additional identity that is not yet present in the identity database.
Abstract:
Various implementations disclosed herein enable client devices to share a network resource in order to produce more evenly distributed perceptual playback quality levels within each subscription tier. Sharing of a network resource is facilitated by providing client devices with one or more QoE distribution indicator values, which enables client device participation in the allocation of the network resource. In some implementations, a client device method includes determining a local QoE level value, and then modifying a representation selection of media content data based on the local QoE and one or more QoE distribution indicator values. The local QoE level value characterizes perceptual playback quality of media content data received by the client device using the shared network resource. The QoE distribution indicator values characterize at least in part the relative QoE values associated with a plurality of client devices sharing the shared network resource with the client device.
Abstract:
In one implementation, a method performed by a client device includes: determining a perceptual characterization metric, where the perceptual characterization metric provides a quantitative characterization of factors that determine quality of experience associated with a first playback profile of media content presented by the client device; and normalizing the perceptual characterization metric based on characterization factors associated with the client device. The method further includes: obtaining an aggregate perceptual characterization metric that is based at least in part on the normalized perceptual characterization metric from the client device and one or more other perceptual characterization metrics from other client devices sharing at least one network resource with the client device; and determining whether to change the first playback profile based on a function of the first normalized perceptual characterization metric and the aggregate perceptual characterization metric.
Abstract:
Various implementations disclosed herein enable a more efficient allocation of one or more shared network resources amongst a plurality of client devices based on media content complexity and client device resource status in order to better manage perceptual playback quality. In some implementations, a method includes obtaining a plurality of resource constraint values associated with a plurality of client devices sharing a network resource, and jointly determining a respective encoding rate level selection and a corresponding resource allocation for each of the plurality of client devices based on a combination of one or more resource constraint values and the assessment of the respective perceptual quality level values, such that a combination of resulting quality levels satisfies a joint quality criterion.
Abstract:
In one embodiment, a device in a network identifies delay requirements of each of a plurality of media streams. The device selects a joint forward error correction (FEC) encoding strategy for the plurality of media streams based on the identified delay requirements of the streams and on a burst loss length of a communication channel. The device applies the selected joint FEC encoding strategy to the plurality of media streams, to form a multiplexed packet stream. The device sends the multiplexed packet stream to one or more nodes in the network via the communication channel.
Abstract:
Various implementations disclosed herein enable a more efficient allocation of one or more shared network resources (e.g., bandwidth, memory, processor time, etc.) amongst a number of client devices based on media content data complexity and client device resource constraints in order to better manage perceptual playback quality of adaptive streaming content. In some implementations, a method includes aligning sequences of one or more temporal segments; and, selecting segment representations for each temporal segment based on a combination of the sequence alignment and perceptual quality level values associated with available segment representations, such that a combination of resulting perceptual quality levels satisfies a joint quality criterion. Each sequence is associated with one of a number of client devices sharing a network resource. The one or more temporal segments of each sequence are used to provide segment representations of media content data to one of the client devices.
Abstract:
In one embodiment, an HTTP streaming session may be initiated at a client device in a network. The client device may have a buffer and may be configured to request and receive one or more data segments over HTTP from an HTTP server. A first data segment at a first data source rate may be requested and subsequently received. The first data segment may be stored in the buffer. A second data source rate may then be calculated based on a storage level in the buffer, and a second data segment at the second data source rate may be requested.
Abstract:
A method for encoding a sequence of packets includes receiving the sequence of packets, generating a parity packet for a first group of packets within the sequence of packets, and transmitting the first group of packets and the parity packet. The parity packet is generated by performing an exclusive OR (XOR) operation over a plurality of packets in the first group of packets and at least one packet in a second group of packets. The second group is separated from the first group in the sequence by one or more packets.
Abstract:
Multi-User Multiple Input, Multiple Output (MU-MIMO) data transmissions are provided with a forward-predictive precoding matrix to mitigate the effects of a change in a state of a communication channel. First and second soundings are performed, at first and second times, to a receive antenna over a channel and, responsive to each of the soundings, first and second Channel State Information (CSI) are received. Based on the first and second CSI, a change in a state of the channel over a time period between the first and second time is determined. Based on the change in the state of the channel, a forward-predictive channel state matrix and/or a forward-predictive precoding matrix are determined that reflect a state of the channel at a future time and that are consistent with the determined change in the state over the time period. The forward-predictive precoding matrix is applied to a data transmission.