Abstract: Aspects of the subject disclosure may include, for example, a process that determines a field-of-view of an immersive video viewer, determines present orientation of the immersive video viewer at a first time, and predicts a future orientation of the immersive video viewer occurring at a second time based on the present orientation of the immersive video viewer. A subsegment of an entire immersive video frame corresponding to the second time is identified based on the predicted orientation of the immersive video viewer and the field-of-view. Wireless transmission of the subsegment of the entire immersive video frame to the immersive video viewer is facilitated for presentation at the immersive video viewer at the second time, without requiring transmission of the entire immersive video frame. Other embodiments are disclosed.

Abstract: Concepts and technologies directed to agile transport for background traffic in cellular network are disclosed herein. In various aspects, a system can include a processor and memory storing instructions that, upon execution, cause performance of operations. The operations can include determining a capacity of a communication path that communicatively couples a user equipment to a radio access network cell site. The operations can include identifying, from the radio access network cell site, a queue that is constructed for the user equipment. The operations can include assembling a plurality of probe burst packet sets from a background traffic flow. The operations can include probing the communication path for spare capacity using the plurality of probe burst packet sets and delivering the background traffic flow to the user equipment using the spare capacity while the communication path is not busy.

Abstract: A processing system having at least one processor may obtain a feature set from a camera frame of a client device, perform a feature reduction of the feature set to produce a reduced feature set, generate a compressed representation from the reduced feature set, compare the compressed representation of the reduced feature set to a plurality of compressed representations of known objects stored in one or more hash tables to identify an object in the camera frame, and provide an identification of the object to the client device.

Abstract: Aspects of the subject disclosure may include, for example, identifying a field of view (FoV) within a first frame of a video that occupies a sub-portion of the frame. A size is determined by subdividing a portion of the video according to a tiling scenario. Tiles overlapping the FoV are detected, and an updated size is determined based on an encoded version of the tiles and compared to a reference size. Responsive to the updated size being less than the reference size, the reference size is adjusted to the updated size, the tiling scenario is adjusted according to an adjusted tiling scenario, and the determining of the size is repeated based on the adjusted tiling scenario. Responsive to the updated size not being less than the reference size, a preferred tiling scenario is identified based on the adjusted tiling scenario for tiling the video. Other embodiments are disclosed.

Abstract: Aspects of the subject application may include, for example, identifying FOV and OOS tiles of the video content. The FOV and OOS tiles are received from a video server. The FOV and OOS tiles are encoded using AVC and a first layer of SVC, respectively. Further embodiments include providing the FOV and OOS tiles for presentation on a display, detecting a change in a field of vision, and identifying other FOV tiles of the video content, which comprise a portion of the OOS tiles. Also, embodiments include requesting the portion of the OOS tiles and receiving the portion of the OOS tiles from the video server over the communication network, which are encoded using an enhancement layer of SVC and then provided, to the display, according the enhancement layer in conjunction with the providing of the OOS tiles according to the first layer. Other embodiments are described herein.

Abstract: Aspects of the subject disclosure may include, for example, system for tile-based video streaming using a proxy executing at a mobile edge cloud, which adaptively offloads decoding and merging of video tiles from mobile devices to the mobile edge cloud. A processing system including the proxy communicates with a video server and a client device. The proxy receives a request for video content from a client device; the request includes historical field of view (FoV) information. The proxy predicts a client FoV, requests video tiles from the server, downloads the tiles from the server, generates a video chunk by decoding and merging the downloaded tiles, and delivers the video chunk to the client device. The client device performs local decoding and rendering of the generated video chunk. Other embodiments are disclosed.

Abstract: Systems and methods are disclosed for parallelizing service function chains.

Abstract: A system may assist with checking policy impact in a software-defined infrastructure environment. It may perform continuous learning of impact using emulations under varying conditions and may take a statistical and machine learning based analysis approach on the data obtained from emulations. The system's data analysis may enable it to discover and quantify the impact of policies on software-defined infrastructure objects in the same or different layers.

Abstract: A system may assist with checking policy impact in a software-defined infrastructure environment. The system's data analysis may enable it to discover and quantify the impact of policies on software-defined infrastructure objects in the same or different layers.

Abstract: Aspects of the subject disclosure may include, for example, a method for spherical video streaming over a network by a processing system including a processor, the method including prefetching audio data for rendering the spherical video; determining whether there is a single source or a plurality of sources of audio in the audio data; responsive to a determination that there is only one dominant source of the audio in the audio data, prefetching video data in a field of view centered on spatial coordinates of the dominant source of audio; responsive to a determination that there is the plurality of sources of the audio in the audio data, sorting the plurality of sources of the audio according to an estimated sound source energy for each source in the plurality of sources, thereby creating a sorted list of the plurality of sources; and prefetching video data in plural fields of view centered on spatial coordinates of each audio source in the sorted list of the plurality of sources, wherein the prefetching is

Abstract: Aspects of the subject disclosure may include, for example, a method including obtaining media content and a ranking for each tile of the media content based on a plurality of viewports; receiving a request from user equipment to view the media content; obtaining, iteratively, a plurality for predicted fields of view of the user, the predicted fields of view each covering different future time periods; identifying viewports corresponding to the predicted fields of view; sending any remaining tiles corresponding to the closest in time predicted field of view to the user equipment; and sending remaining tiles corresponding to successive predicted fields of view to the user equipment the ranking based and an excess bandwidth. Other embodiments are disclosed.

Abstract: A system for designing and executing control loops in a cloud environment includes a control platform implemented in the cloud environment having a data collection, analytics and events module, a policy module and an application controller module. The system includes a business process management application coupled to the control platform having a control loop designer module for designing a control loop template and a workflow engine for distributing the control loop template. The business process management application is coupled to the data collection analytics and events module of the control platform as well as the policy module in the application controller module to control platform. The control loop is activated by the control platform.

Abstract: Aspects of the subject disclosure may include, for example, a process that analyzes image content of an immersive video frame and identifies a first group of segments of the immersive video frame based on the analysis. The segments collectively span an entire space portrayed by the immersive video frame and the first group of segments spans less than the entire space. A size of a display region of an immersive video viewer is determined that spans less than the entire space and a second group of segments is determined based on the first group of segments and the size of the display region. Transport of the second group of segments, spanning less than the entire space, is facilitated via a communication network to the immersive video viewer for presentation, without requiring transmission of all of the segments. Other embodiments are disclosed.

Abstract: A method for streaming a 360 degree video over a communications network, wherein the video is streamed in a plurality of chunks, includes selecting a prediction window during which to predict a field of view within the video, the field of view is expected to be visible by a viewer at a time of playback of a next chunk of the video, wherein a duration of the prediction window is based on at least one condition within the communications network, selecting a machine learning algorithm to predict the field of view based on a head movement of the viewer, wherein the machine learning algorithm is selected based on the duration of the prediction window, predicting the field of view based on the head movement of the viewer and the machine learning algorithm, identifying a tile of the next chunk that corresponds to the field of view, and downloading the tile.

Abstract: Aspects of the subject disclosure may include, for example, a method in which a processing system identifies a plurality of performance indicators comprising device performance indicators for a plurality of communication devices on a cellular network and network performance indicators for the cellular network. The method also includes obtaining historical data regarding the plurality of performance indicators for each of a series of time points during a past time period; the historical data for each of the plurality of performance indicators form an array of values for that performance indicator. The method further includes generating from each array a set of inputs to an algorithm for predicting a throughput of the cellular network during a future time period; the set of inputs comprises quantiles of the array, and the algorithm comprises a machine learning algorithm. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a method for spherical video streaming over a network by a processing system including a processor, the method including prefetching audio data for rendering the spherical video; determining whether there is a single source or a plurality of sources of audio in the audio data; responsive to a determination that there is only one dominant source of the audio in the audio data, prefetching video data in a field of view centered on spatial coordinates of the dominant source of audio; responsive to a determination that there is the plurality of sources of the audio in the audio data, sorting the plurality of sources of the audio according to an estimated sound source energy for each source in the plurality of sources, thereby creating a sorted list of the plurality of sources; and prefetching video data in plural fields of view centered on spatial coordinates of each audio source in the sorted list of the plurality of sources, wherein the prefetching is

Abstract: Aspects of the subject disclosure may include, for example, system for tile-based video streaming using a proxy executing at a mobile edge cloud, which adaptively offloads decoding and merging of video tiles from mobile devices to the mobile edge cloud. A processing system including the proxy communicates with a video server and a client device. The proxy receives a request for video content from a client device; the request includes historical field of view (FoV) information. The proxy predicts a client FoV, requests video tiles from the server, downloads the tiles from the server, generates a video chunk by decoding and merging the downloaded tiles, and delivers the video chunk to the client device. The client device performs local decoding and rendering of the generated video chunk. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a virtual network element that includes a plurality of virtual machine modules configured to process a plurality of control packets in a virtualized telecommunication network. A classifier module is configured to receive telecommunications traffic that includes the plurality of control packets and a plurality of data packets, to separate the plurality of control plane data from the at least one data packet, and to forward the plurality of control packets to selected ones of the plurality of virtual machine modules. A forwarding device, coupled to the classifier module and separate from the plurality of virtual machine modules, is configured to forward the plurality of data packets in the virtualized telecommunication network. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a method including providing a video presentation to user devices. A latency related to the video presentation is determined for each device; a high-latency user device is identified having greater latency than other, low-latency devices. Field of view information is analyzed for each of the low-latency devices; based on the analyzing, a field of view of the high-latency user device is predicted. In accordance with the predicting, a predicted viewing map for the high-latency user device is generated. The video presentation for the high-latency user device is adjusted based on the predicted viewing map. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, embodiments for capturing video content with a camera. The camera is communicatively coupled to the device. Further embodiments include obtaining a network condition of a communication network. Additional embodiments include determining a network criterion according to the network condition. Also, embodiments include calculating a threshold according to the network criterion. Further embodiments include adjusting the video content in response to determining network criterion resulting in adjusted video content. Additional embodiments include determining that a first portion of the adjusted video content satisfies the threshold. Also, embodiments include transmitting the adjusted video content to a video content server over the communication network. Other embodiments are disclosed.