Genband US LLC

Ecole De Technologie Superieure

Francois Caron

Mohammadreza Jamali

Mark Temple Cobbold

Embodiments provide systems, methods, apparatus, and computer program products for selecting codec parameters to satisfy one or more operating constraints. An example method performed by a network component that facilitates a communication session set-up process among endpoints in a communication network, the method includes: during the communication session set-up process, determining a utilization factor of the network component; selecting a value for sampling frequency associated with a first codec in response to determining the utilization factor; negotiating use of the first codec and the value for sampling frequency with a first endpoint and negotiating use of a second codec with a second endpoint; and transcoding a media stream of a communication session between the first endpoint and the second endpoint according to the first codec and the value for sampling frequency and the second codec.

System, methods, and computer program products for selecting codec parameters

According to one example, a method includes processing a communication session with a first virtual machine of a plurality of virtual machines associated with a network node and monitoring packet loss on a leg of the communication session between a first endpoint and a second endpoint. The method further includes, in response to determining that the packet loss exceeds a first threshold, toggling on an enhanced mode for a codec associated with the communication session, the enhanced mode providing increased error resilience. The method further includes, in response to determining that the toggling on the enhanced mode causes the first virtual machine to exceed a processing capacity threshold, moving the communication session to a second virtual machine of the plurality of virtual machines.

Toggling enhanced mode for a codec

Methods and systems for encoding video data are provided. Evolving standards for video encoding such as High Efficiency Video Coding (HEVC) standard require a significant increase in computational complexity for both inter and intra encoding. The method includes calculating an approximate cost of each of a first set of prediction modes. Then selecting a second set of prediction modes from the first set of prediction modes based on probability distributions associated with each of the modes in the first set of prediction modes, the second set having substantially fewer prediction modes than the first. A number of candidate prediction modes prior to rate distortion optimization (RDO) is reduced. Experimental results show that the proposed method provides substantial time reduction and negligible quality loss as compared to the HEVC reference.

Method and system for fast mode decision for high efficiency video coding

A method includes, with a computing system, receiving a plurality of packets for transcoding, the plurality of packets comprising a first set of packets having data in a first format and a second set of packets having data in a second format, with the computing system, placing the first set of packets in a first queue, the first queue comprising packets from more than one communication session, with the computing system, placing the second set of packets in a second queue, the second queue having packets from more than one communication session, with the computing system, processing packets of the first queue with a graphics processing unit, and with the computing system, after processing the packets of the first queue with the graphics processing unit, processing packets of the second queue with the graphics processing unit.

Transcoding with a vector processing unit

A method includes, with a first execution unit of a processor, executing instructions for a processing task on behalf of a first virtual container. The first virtual container is configured to utilize computing resources of the first execution unit without demanding more computing resources than the first execution unit provides. The first execution unit may have exclusive access to a first arithmetic logic unit (ALU). The method further includes, with a second execution unit of the processor, processing instructions for the processing task on behalf of a second virtual container. The second virtual container is configured to utilize computing resources of the first execution unit without demanding more computing resources than the first execution unit provides. The second execution unit may have exclusive access to a second Arithmetic Logic Unit (ALU). The first execution unit and the second execution unit operate in parallel.

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Montreal, Canada

Francois Caron