Abstract: Methods and systems described herein facilitate virtual interactions between users that more closely resemble their in-person counterparts. In particular, the methods and systems simulate in-person interactions in virtual environments through the use of complex spatial algorithms. For example, in some embodiments, the methods and systems provide avatar-based video conferencing systems in which avatars are connected by video/voice chat to any avatar based on one or more criteria.

Abstract: A display apparatus includes a communication interface configured to communicate with another display apparatus, a display configured to display contents being shared with the other display apparatus and a video call user interface (UI) for a video call with a user of the other display apparatus, and a processor, in response to at least one of a gesture and a voice of the user included in video call data received from the other display apparatus satisfying a predetermined condition, configured to control the display to change a size of the video call UI displayed on the display.

Abstract: Methods and systems for routing multimedia traffic are described. A method may include receiving a communication originating from a user, transposing an alias transport network over one or more existing networks to route the communication, and routing the communication based on mapping rules.

Abstract: One example method includes receiving, by a video conference provider, an indication of a meeting type of a video conference; obtaining, by the video conference provider, multimedia content associated with the meeting type; receiving a request from a client device to join a main meeting of the video conference; connecting the client device to a waiting room associated with the video conference; and providing the multimedia content to the client device in the waiting room.

Abstract: A method for protecting subscriber data includes intercepting network traffic associated with a call. The network traffic includes call parameters and call stream data. A first set of the call parameters is analyzed. A first probability value of the call being declared as unwanted is determined. The call stream data is analyzed to define a second set of call parameters. The first set of call parameters is reanalyzed based on the second set. A second probability value of the call being declared as unwanted is determined. A determination is made if the second probability value exceeds a second threshold value. The call is declared as unwanted, in response to determining that the second probability value exceeds the second threshold. The first and second sets of call parameters are transmitted to an application configured to protect data of a protected subscriber.

Abstract: Systems, methods, and computer-readable media for call classification and for training a model for call classification, an example method comprising: receiving DTMF information from a plurality of calls; determining, for each of the calls, a feature vector including statistics based on DTMF information such as DTMF residual signal comprising channel noise and additive noise; training a model for classification; comparing a new call feature vector to the model; predicting a device type and geographic location based on the comparison of the new call feature vector to the model; classifying the call as spoofed or genuine; and authenticating a call or altering an IVR call flow.

Abstract: Single point devices that connect to a display device include a port for establishing a connection to a port on the display device and for switching the display device from a first mode to a second mode; an audio video device configured to capture image data representing one or more images of physical entities in a field of view of the audio video device and further configured to capture acoustic data; a receiver device and a transmitter device configured for dedicated communication with a data processing system.

Abstract: Automatic testing/analysis of local loops of telecommunications networks includes obtaining bits-per-tone data for a local loop of a telecommunications network and generating a bit value string from the bits-per-tone data. The bit value string is then analyzed to determine whether it includes a bit pattern indicative of an impairment of the local loop. Further approaches for automatically testing local loops of telecommunications networks include obtaining attenuation data for multiple tones carried by the local loop and determining whether the attenuation data falls below thresholds for providing a service using the local loop.

Abstract: A sequence of call volume measurements is accessed, where each of the call volume measurements is associated with respective metadata. The respective metadata may provide information regarding a time period during which a call volume measurement was made. A window of the sequence of call volume measurements with the respective metadata is input to a machine learning model to obtain a prediction of a call volume. The machine learning model includes embedding functions that are applied to the respective metadata for the call volume measurements in the window.

Abstract: Data stream based event sequence anomaly detection for mobility customer fraud analysis is presented herein. A system obtains a sequence of events comprising respective modalities of communication that correspond to a subscriber identity associated with a communication service—the sequence of events having occurred within a defined period. Based on defined classifiers representing respective fraudulent sequences of events, the system determines, via a group of machine learning models corresponding to respective machine learning processes, whether the sequence of events satisfies a defined condition with respect to likelihood of representing a fraudulent sequence of events of the respective fraudulent sequences of events. In response to the sequence of events being determined to satisfy the defined condition, the system sends, via a user interface of the system, a notification indicating that the sequence of events has been determined to represent the fraudulent sequence of events.

Abstract: Novel tools and techniques are provided for implementing call center-based automated interface with network switches for Internet service diagnostics and provisioning. In various embodiments, in response to receiving a request by a call center user to access an Internet service customer account, a computing system may access information regarding the Internet service customer account that is stored in a database, may identify a network switch that is configured to provide Internet service to customer premises equipment (“CPE”) disposed at a customer premises associated with the customer, based at least in part on the accessed information, and may autonomously access, from other databases, information associated with the Internet service customer account and with a network profile. The computing system may integrate the accessed information, may generate and present a user interface (“UI”) displaying the accessed information, and may autonomously initiate one or more diagnosis and repair procedures.

Abstract: A system for monitoring phone numbers includes a computing device having at least one processor and memory associated with the processor. A telephone network supports a plurality of telephone numbers. For each of the phone numbers, the computing device is configured to detect call activity involving the phone number during a detection period having a preselected duration, determine an answer seizure ratio (ASR) for the phone number during the detection period from the call activity, determine a difference between the ASR during the detection period and an ASR from at least one previous detection period for the phone number, and determine whether the difference satisfies at least one preselected criterion. When the criterion is satisfied, the computing device instigates a procedure to investigate or repair the phone number.

Abstract: The present invention suppresses the number of connections from another network, and reduces the load on call processing apparatuses in a local network.

Abstract: Systems and methods are described herein for maintaining and/or facilitating video call continuity between devices. For example, the systems and methods support video calls or other communications between multiple devices (e.g., a mobile device providing a video call stream of content and a drone or other moving device capturing and streaming content via a camera) providing video content to a target device, such as another mobile device.

Abstract: A processing system may maintain a communication graph that includes nodes representing a plurality of phone numbers including a first phone number and edges between the nodes representing a plurality of communications between the plurality of phone numbers and may generate at least one vector via a graph embedding process applied to the communication graph, the at least one vector representing features of at least a portion of the communication graph. The processing system may then apply the at least one vector to a prediction model that is implemented by the processing system and that is configured to predict whether the first phone number is associated with a type of network activity associated with a telecommunication network and may implement a remedial action in response to an output of the prediction model indicating that the first phone number is associated with the type of network activity.

Abstract: Novel tools and techniques are provided for implementing call center-based automated interface between call center agents and network orchestration systems, in some cases, via application programming interfaces (“APIs”). In various embodiments, an automated services platform may collect, from data sources, data associated with services provided by a service provider. The collected data may be autonomously analyzed to identify any issues with provisioning a service(s) to a customer. If so, one or more automation actions may be autonomously identified to address the determined issue(s). The automated services platform may autonomously send instructions to automation bots to perform the identified one or more automation actions, and may generate and present a UI on a user terminal operated by a user, the UI displaying information regarding at least one of the at least one issue, the affected service(s), the identified one or more automation actions, or the automation bots, and/or the like.

Abstract: Described herein are systems, methods, and software to monitor latency information in virtual desktop environments. In one example, a user computing system may obtain a first frame of video data from a second computing system, wherein the video data is streamed from the user computing system to the second computing system. The user computing system further identifies a first frame number for the first frame based on a code in the first frame, identifies a frame number for second frame of the video data to be streamed to the second computing system when first frame was received, and determines frame latency based on a difference between the first frame number and the second frame number.

Abstract: A content sending method includes: a server obtains video media content and additional information content, indicates a calling terminal to complete resource reservation for transmitting the video media content and the additional information content, transmits the video media content to a first port set of the calling terminal, and transmits the additional information content to a second port set of the calling terminal. In this way, two types of content streams are transmitted to the calling terminal by using channels of the two port sets, and a function of providing an additional service in a process of playing a video ring back tone is implemented.

Abstract: Exemplary embodiments are directed to an inclusive video conferencing system having one or more input devices configured to receive conversational data according to a first video conferencing mode and data from a remote computing device identifying a second conferencing mode. A processing device configured to activate a video conferencing interface according to the second video conferencing mode of the remote computing device and process the conversational data for presentation in a format compatible with the second video conferencing mode. An output device configured to send the processed conversational data to the remote computing device.

Abstract: One example method of operation may include identifying a call originated from a caller entity destined for a called entity at a call content server, identifying a called number associated with the called entity and a caller number associated with the caller entity, comparing a telephone number prefix associated with the called number with a number of enhanced call content data elements to identify a match, selecting one or more of the enhanced call content data elements to pair with the called number based on the match, and forwarding the selected enhanced call content data elements to the called entity.