Systems and methods to enable grouping and routing of data packets are disclosed. Packets that together make up a data or content item may include grouping information that identifies or classifies the packets into a group. Grouping information may further contain information regarding maximum packet drop thresholds and instructions for a network device to follow if such a threshold is approached or exceeded. Network devices may receive and process the grouping information associated with packet groups and act in accordance with any given instructions. Network devices may intelligently decide to drop packets of one group to meet delivery thresholds for another group, including dropping all packets if necessary, or drop packets from several groups to meet delivery thresholds for all received groups. Network devices may notify other network devices about dropped packets and packet groups.

Disclosed are systems and methods for lightweight transcoding of video. A distributed computing system for lightweight transcoding includes an origin server and an edge node, the origin server having a memory and a processor and configured to receive an input video comprising a bitstream, encode the bitstream into a set of representations corresponding to a full bitrate ladder, generate encoding metadata for the set of representations, and provide a representation and encoding metadata for the set of representations to an edge node, the edge node having a memory and a processor and configured to transcode the bitstream, or segments thereof, into the set of representations, and to serve one or more of the representations to a client.

A network device for a mobile carrier network sends, to a third-party platform, a first client message including a first parameter extension. The first parameter extension indicates subscription parameters for a data flow between a user equipment (UE) device that originated the first client message and the third-party platform. The network device receives, from the third-party platform, a server message. The server message does not include a confirmation that the third-party platform accepts subscription parameters. The network device forwards, to the UE device, the server message with the first parameter extension. The network device receives, from the UE device, a second client message including a second parameter extension. The second parameter extension confirms that the third-party platform accepts the one or more subscription parameters. The network device then generates a policy enforcement rule for the data flow that relies on the confirmation from the third-party platform.

There is provided a method for estimating play out resolution of a video delivered to a client device by an encrypted video stream communicated over a network. The method selects a current chunk of the encrypted video stream comprising data packets expected to carry video data of the same level of playout resolution and determines values for a predetermined set of features indicative of conditions in the network. By accessing a pregenerated model, a corresponding set of state transition probabilities is obtained, defining a Markov chain whose states comprise the different levels of resolution. The determined state transition probabilities are then used to calculate, from a first probability distribution arising from a first or previous step in the Markov chain, a second probability distribution for the plurality of states of the Markov chain expected to result from the indicated network conditions.

Techniques are described for low-latency streaming of media content using a lossless protocol. For example, a media stream, comprising encoded video data, can be streamed to a plurality of streaming clients via the lossless protocol. The plurality of streaming clients can be monitored to determine whether any of them have fallen behind in streaming the media stream. When a streaming client falls behind, a portion of video data to be streamed to the streaming client can be selectively dropped based on scalability information and/or long term reference (LTR) frame information. The low-latency streaming can be performed without using per-client quality feedback from the plurality of streaming clients. When streaming using a semi-lossy protocol, a plurality of delivery modes can be used, where each delivery mode is for a different type of encoded video data and provides a different level of reliability.

A method includes determining a first transmission rate for transmitting an entirety of a segment of a video stream to a client device. The segment includes a set of frames. In some implementations, the method includes, after transmitting a first subset of the set of frames at the first transmission rate, detecting that a network connectivity of the client device has reduced below a connectivity threshold associated with the first transmission rate. In some implementations, the method includes transmitting an entirety of the segment at a second transmission rate that is less than the first transmission rate. In some implementations, the method includes triggering the client device to present a second subset of the set of frames that corresponds to a temporal position in the video stream after the first subset of the set of frames while foregoing re-presentation of the first subset of the set of frames.

A service data processing method and apparatus is disclosed. A data frame is divided into code blocks with smaller granularity, and service data is mapped to a corresponding quantity of code blocks in the data frame based on a service requirement. In addition, the data frame is used to indicate a location of a code block carrying the service data. In one manner, a code block in a payload area of the data frame is divided into a data code block and an overhead code block, and the overhead code block is used to indicate a location of a data code block carrying the service data. In the another manner, an indication field is configured in an overhead area of the data frame to indicate a location of a code block that carries the service data and that is in the payload area of the data frame.

Media is selected for video playback through a first device and audio playback through one or more separate devices connected through a wireless network. Different techniques for synchronizing the audio and video can be selected based on one or more factors to improve media playback.

A proxy device may organize a set of local devices as members of a union. The proxy device may create a set of virtual peripheral devices. The set of virtual peripheral devices may represent a set of physical peripheral devices connected to the set of local devices. The proxy device may communicate the set of virtual peripheral devices to a remote device.

The present disclosure seeks to perform real-time video streaming on a mobile device toward maintaining user QoE even under bandwidth constraints while being acceptable to the lightweight computing capacity of the mobile device. To this end, the embodiments apply deep neural network-based SR to a small number of pre-selected video frames and utilize the video frames to which SR is applied to enhance the resolution of the remaining frames, wherein the pre-selected frames are chosen for SR within a preset quality margin. Additionally, the present disclosure provides an apparatus and a method for SR acceleration for real-time video streaming under the lightweight computing capacity and video-specific constraints of a mobile device, which allow a server to deliver multiple options on a deep neural network and a cache profile including SR application information and enable the mobile device to select an option suitable for its computing capacity.