Abstract:
Novel tools and techniques are described for auto-summarizing video and/or audio content. In some embodiments, a summary server might retrieve one or more time codes from a time code database, and might analyze the one or more time codes to determine at least one selected time code among the one or more time codes that exceeds a predetermined number of selections. The one or more time codes might correspond to one or more triggers, which might include user-inputted triggers, triggers associated with actions by a live audience, or broadcaster/distributor/producer-provided triggers (i.e., cue tones). The summary server might determine one or more selected segments of video or audio content corresponding to the at least one selected time code, and might create one or more summary tracks, where each of the one or more summary tracks might comprise each of the one or more selected segments of the video or audio content.
Abstract:
A system for intelligent video streaming a video controller having at least one processor and non-transitory computer readable media having a set of instructions executable by the at least one processor to receive a playback request from a user device for a live stream, determine, from the playback request, whether source streaming content for the live stream is being transcoded, and allocate an available transcoder to transcode the source streaming content. The system further includes a transcoding having at least one processor and non-transitory computer readable media having a set of instructions executable by the at least one processor to join the multicast stream, retrieve the source streaming content, and transcode the source streaming content, and provide transcoded streaming content for delivery to the user device.
Abstract:
The disclosed embodiments include a method, apparatus, and computer program product for simplifying the process of creating a video-on-demand system. For example, in one embodiment, a method for creating a video-on-demand (VOD) system is disclosed that includes dynamically capturing segments of an adaptive bit rate (ABR) live stream of the program at time of broadcasting and storing the captured segments of the ABR live stream of the program as a VOD file. In some cases, a particular bit rate of the program can be selected for playback on a client device, based on the type of the client device.
Abstract:
Novel tools and techniques are provided for providing service provider cloud services. In some embodiments, a virtualized service equipment (“VSE”), in communication with a cloud service network, might establish communications with a central controller over a network, register with the central controller, and receive a configuration file having a base configuration (which might cause the VSE to retrieve and display a cloud service marketplace having a service offering(s)). The VSE might also receive a selection of the service offering(s) and transmit the selection of the service offering(s) to the central controller. A network controller in communication with the VSE might provision cloud network resources, as part of a programmable service backbone, to provide the selected service offering(s). An app controller in communication with the VSE might setup app services on the VSE and the programmable service backbone based on the selected service offering(s).
Abstract:
Novel tools and techniques are utilized or implemented for providing a cloud services marketplace. In some embodiments, a method might include providing an index of product offerings for selection. The index of product offerings including at least one product offering, each of the at least one product offering in the index of product offerings including a respective qualifier. The method might also include receiving a customer selection of one or more product offerings among the at least one product offering, and providing at least one network service needed to provision the one or more customer selected product offerings based on the respective qualifier. The at least one network service might be associated with at least one virtualized network function. The method might further include provisioning network resources to perform the at least one virtualized network function, based on the respective qualifier.
Abstract:
Novel tools and techniques are described for auto-summarizing video and/or audio content. In some embodiments, a summary server might retrieve one or more time codes from a time code database, and might analyze the one or more time codes to determine at least one selected time code among the one or more time codes that exceeds a predetermined number of selections. The one or more time codes might correspond to one or more triggers, which might include user-inputted triggers, triggers associated with actions by a live audience, or broadcaster/distributor/producer-provided triggers (i.e., cue tones). The summary server might determine one or more selected segments of video or audio content corresponding to the at least one selected time code, and might create one or more summary tracks, where each of the one or more summary tracks might comprise each of the one or more selected segments of the video or audio content.
Abstract:
The present technology relates to improving computing services in a distributed network of remote computing resources, such as edge nodes in an edge compute network. In an aspect, the technology relates to a method that includes aggregating historical request data for a plurality of requests, wherein the aggregated historical request data a time of the request, a location of a device from which the request originated, and/or a type of service being requested. The method also incudes training a machine learning model based on the aggregated historical request data; generating, from the trained machine learning model, a prediction for a type of service to be request; identifying an edge node, from a plurality of edge nodes, based on a physical location of the edge node; and based on predicted service, allocating computing resources for the computing service on the identified edge node.
Abstract:
Novel tools and techniques for an IoT shell are provided. A system includes an internet of things (IoT) device, a database, and a license manager. The database may include one or more sets of authorized licenses, each set of authorized licenses associated with a respective vendor software. The license manager may be in communication with the IoT device and the database, and further include a processor and a non-transitory computer readable medium comprising instructions executable by the processor. The license manager may be configured to receive a request to reserve a license for a first vendor software, determine an availability of the license associated with the first vendor software, register a unique identifier of the IoT device in association with the license, and grant the license to the IoT device.
Abstract:
The present technology relates to improving computing services in a distributed network of remote computing resources, such as edge nodes in an edge compute network. In an aspect, the technology relates to a system that includes a plurality of edge nodes and a beacon. The system performs operations that may include collecting traffic data from the beacon over a period of time, wherein the traffic data includes at least an amount of devices sending probe requests to the beacon; comparing the amount of devices to a predetermined threshold for traffic data; and based on the comparison of the amount of devices to the predetermined threshold for traffic data, generating a recommendation for installation of a new edge node in addition to the plurality of edge nodes.
Abstract:
Novel tools and techniques for providing an in-line AI virtual assistant are provided. A system includes a session border controller coupled to an end-user device, and a session initiation protocol stack. The session initiation protocol stack includes a processor, and non-transitory computer readable media comprising instructions executable by the processor to: receive, from the session border controller, a call invite request; provision, via the AI virtual assistant service, an AI virtual assistant instance in response to the call invite request; and join the AI virtual assistant instance to a call with the end-user device.