Abstract: There is provided a system including a memory storing an executable code and a processor executing the executable code to provide access to a plurality of users to curate video clips stored in a content repository, wherein each video clip is associated with one of a plurality of ownership identifications, receive curation inputs from a user of one of a plurality of user devices arranging two or more video clips into a video compilation, wherein a first video clip is associated with the first ownership identification of a first content owner and a second video clip is associated with the second ownership identification of a second content owner, stream the video compilation to one or more of the plurality of user devices, and distribute a first fee to the first content owner and a second fee to the second content owner, in response to streaming the video compilation.

Abstract: A system includes a computing platform having processing hardware, one or more sensor(s), and a memory storing perception software and animation software, as well as an augmented reality (AR) headset including another processing hardware. The computing platform is configured to obtain an environmental data using the sensor(s), determine the location and orientation of the AR headset using the perception software and the environmental data, identify an action for execution by the computing platform, using the animation software and the location and orientation of the AR headset, and transmit performative data corresponding to the identified action to the AR headset. The AR headset is configured to receive, from the computing platform, the performative data, and to render at least one AR effect corresponding to the identified action using the performative data.

Abstract: A system providing a multi-persona social agent includes a computing platform having a hardware processor, a system memory storing a software code, and multiple neural network (NN) based predictive models accessible by the software code. The hardware processor executes the software code to receive input data corresponding to an interaction with a user, determine a generic expression for use in the interaction, and identify one of the character personas as a persona to be assumed by the multi-persona social agent. The software code also generates, using the generic expression and one of the NN based predictive models corresponding to the persona to be assumed by the multi-persona social agent, a sentiment driven personified response for the interaction with the user based on a vocabulary, phrases, and one or more syntax rules idiosyncratic to the persona to be assumed, and renders the sentiment driven personified response using the multi-persona social agent.

Abstract: A method and device generates a fantasy sports recommendation. The method includes receiving a plurality of ranking values associated with a sport player, each of the ranking values being generated from a respective source. The method includes assigning a weight value to each of the ranking values, the weight value being associated with the respective source. The method includes generating a recommendation value for the sport player as a function of the ranking values and the corresponding weight values. The method includes receiving a selection value for the sport player. The method includes determining a further weight value for each of the sources as a function of the selection value, the recommendation value, and the weight value for the corresponding source.

Abstract: Systems and methods are presented for generating statistics associated with a performance of a participant in an event, wherein pose data associated with the participant, performing in the event, are processed in real time. Pose data associated with the participant may comprise positional data of a skeletal representation of the participant. Actions performed by the participant may be determined based on a comparison of segments of the participant's pose data to motion patterns associated with actions of interests.

Abstract: According to one implementation, a system includes a computing platform having processing hardware, a system memory storing a software code; and a machine learning model based classifier. The processing hardware is configured to execute the software code to receive tagging quality assurance (QA) data including multiple terms applied as tags and corrections to those tags, to identify, using the tagging QA data, a first problematic term, and to classify, using the machine learning model based classifier, the first problematic term as one of confusing or flawed. The processing hardware is further configured to execute the software code to obtain, when the first problematic term is classified as confusing, a comparative sample for clarifying use of the first problematic term, and to obtain, when the first problematic term is classified as flawed, modification data for editing a predetermined annotation taxonomy including the first problematic term.

Abstract: In various embodiments, a prediction subsystem automatically predicts a level of network availability of a device network. The prediction subsystem computes a set of predicted attribute values for a set of devices attributes associated with the device network based on a trained recurrent neural network (RNN) and set(s) of past attribute values for the set of device attributes. The prediction subsystem then performs classification operation(s) based on the set of predicted attribute values and one or more machine-learned classification criteria. The result of the classification operation(s) is a network availability data point that predicts a level of network availability of the device network. Preemptive action(s) are subsequently performed on the device network based on the network availability data point. By performing the preemptive action(s), the amount of time during which network availability is below a given level can be substantially reduced compared to prior art, reactive approaches.

Abstract: A domain security assurance system includes a computing platform having processing hardware and a memory storing software code. The processing hardware is configured to execute the software code to obtain domain inventory data identifying multiple domains, to predict, using the domain inventory data, which of the domains are owned by the same entity to identify commonly owned domains, and to determine, using the domain inventory data and the commonly owned domains, which of the commonly owned domains are controlled by the same administrator to identify one or more group(s) of commonly administered domains. When executed, the software code also removes, using the domain inventory data, duplicate domains included in the group(s) to identify non-duplicate domains, evaluates a susceptibility of each of the non-duplicate domains to a cyber-attack to identify one or more target domain(s) vulnerable to the cyber-attack, and identifies the target domain(s) for a security assessment.

Abstract: One embodiment of the present disclosure sets forth a technique for analyzing network vulnerabilities. The technique includes determining an address for each target device included in a plurality of target devices; for each target device, assigning a port scanning task to an associated port scanning service, the port scanning task being associated with the target device via the address of the target device; for each port scanning task, receiving a port scanning result from the port scanning service assigned to the port scanning task, the port scanning result including a list of open ports for the target device associated with the port scanning task; for each open port included in each port scanning result, assigning a vulnerability scanning task to an associated vulnerability service; receiving a vulnerability scanning result for each vulnerability scanning task; and generating a report based on the port scanning results or the vulnerability scanning results.

Abstract: Systems and methods are described for dynamically adjusting an amount of retrieved recognition data based on the needs of a show, experience, or other event where participants are recognized. The retrieved recognition data may be deleted once it is no longer needed for the event. Recognition data retrieval is limited to just what is needed for the particular task, minimizing the uniqueness of any retrieved recognition data to respect participant privacy while providing an enhanced participant experience through recognition.

Abstract: A method includes assessing an input in a buffer against a rule in a first node of a rule tree to determine that an action should be performed and updating the buffer with results of performing the action. The method also includes inserting an indication of the input, the rule, and the results of performing the action into a tracker log and passing the updated buffer to a second node in the rule tree in response to determining that the first node points to the second node.

Abstract: Embodiments disclosed herein provide techniques to selectively distribute Precision Time Protocol (PTP) data in a network. The network can include multiple different network devices (e.g., switches) connected to form a network architecture (e.g., a spine/leaf architecture). Rather than distributing the PTP data (e.g., PTP timestamps) through all the network devices in order to synchronize local clocks to a global, master clock, the embodiments herein describe an out-of-band distribution network which selectively distributes the PTP data to select network devices in the network.

Abstract: A system for monitoring and improving social agent interaction quality includes a computing platform having processing hardware and a system memory storing a software code. The processing hardware is configured to execute the software code to receive, from a social agent, interaction data describing an interaction of the social agent with a user, and to perform an assessment of the interaction, using the interaction data, as one of successful or including a flaw. When the assessment indicates that the interaction includes the flaw, the processing hardware is further configured to execute the software code to identify an interaction strategy for correcting the flaw, and to deliver, to the social agent, one or both of the assessment and the interaction strategy to correct the flaw in the interaction.

Abstract: Systems and methods are provided for a workflow framework that scriptwriters can utilize when developing (live-action/animation/cinematic) virtual reality (VR) experiences or content. A script can be parsed to identify one or more elements in a script, and a VR representation of the one or more elements can be automatically generated. A user may develop or edit the script which can be presented in a visual and temporal manner along with the VR representation. The user may edit the VR representation, and the visual and temporal presentation of the script can be commensurately represented. The script may be analyzed for consistency and/or cohesiveness in the context of the VR representation or experience. A preview of the VR experience or content can be generated from the script and/or the VR representation.

Abstract: Various embodiments of the invention disclosed herein provide techniques for frame-accurate navigation of a media file. A multi-pass encoding application executing on a media content server encodes a set of file-based images associated with a media file using a first set of encoding parameters to generate a first encoded media file. The multi-pass encoding application encodes the first encoded media file using a second set of encoding parameters to generate a second encoded media file. The first encoded media file and second encoded media file are stored on the media content server and/or or other media content servers. Content delivery applications executing on these media content servers receive a request associated with the media file from a web browsing application, determine a type of the web browsing application, and transmit either the first encoded media file or the second encoded media file based on the type of web browsing application.

Abstract: Embodiments provide for managing ownership of physical objects and digital counterparts using a distributed ledger and tokens stored on the physical objects. An example method generally includes reading, via a wireless data connection between a physical object and a mobile device, a token stored on the physical object. The token may include at least a unique identifier of the physical object. A request to transfer ownership of the physical object to an owner of the mobile device is generated, and the request may include at least the unique identifier of the physical object. The generated request is transmitted to a distributed ledger system, and a response is received from the distributed ledger system indicating whether the transfer was successful. The indication of whether the transfer was successful is displayed on the mobile device.

Abstract: A graphical user interface (“GUI”) personalization application automatically generates a GUI for a software application. In operation, the GUI personalization application tracks interactions between a user and a first GUI that is associated with the software application and a GUI framework. The GUI personalization application then computes a behavioral simplification for the first GUI based on the interactions and the GUI framework. Subsequently, the GUI personalization application modifies the first GUI based on the behavioral simplification to generate a second GUI for the user that is associated with the software application and the GUI framework. Advantageously, the GUI personalization application can more efficiently and reliably improve the quality of the overall user experience when interacting with the software application across a wider range of users relative to prior art approaches.

Abstract: A system for managing non-linear transmedia content data is provided. Memory stores a plurality of transmedia content data items and associated linking data which define time-ordered content links between the plurality of transmedia content data items. The plurality of transmedia content data items are arranged into linked transmedia content subsets comprising different groups of the transmedia content data items and different content links therebetween. A control engine receives one or more instructions to create a new time-ordered content link between at least two of the plurality of transmedia content data items. The control engine modifies the linking data stored in the memory to include the new time-ordered content link.

Abstract: There is presented a method and system for providing a compact graphical user interface for flexible filtering of data. The method comprises showing a search interface on a display device for filtering a content set by a plurality of domains, including a first domain, displaying, within the search interface, a first graphical representation of a parameter set of the first domain in response to a selecting of the first domain, receiving a first parameter subset from the first graphical representation, filtering a content set using the first parameter subset to obtain a search result, and displaying the search result on a display device. The search interface includes a temporally visible menu for selecting parameter sets of the domains and a compact single line query box to display graphical representations of parameter sets or to provide a conventional text entry box.

Abstract: A system for granting access to an account at an access device includes a computer server having a hardware processor and a memory storing a software code. The hardware processor executes the software code to receive a login request from the access device through a first communications socket, open a second communications socket between the access device and the computer server, transmit a verification request message including a required call-to-action to a verification device through a third communications socket, and receive a verification response message verifying that the required call-to-action has been completed at the verification device. Upon receiving the verification response message, the software code sends an access token for accessing the account to the access device through the second communications socket, receives the access token from the access device, and grants the access device access to the account.

Abstract: A system for authenticating digital contents includes a computing platform having a hardware processor and a memory storing a software code. According to one implementation, the hardware processor executes the software code to receive digital content, identify an image of a person depicted in the digital content, determine an ear shape parameter of the person depicted in the image, determine another biometric parameter of the person depicted in the image, and calculate a ratio of the ear shape parameter of the person depicted in the image to the biometric parameter of the person depicted in the image. The hardware processor is also configured to execute the software code to perform a comparison of the calculated ratio with a predetermined value, and determine whether the person depicted in the image is an authentic depiction of the person based on the comparison of the calculated ratio with the predetermined value.

Abstract: An image processing system includes a computing platform having processing hardware, a display, and a system memory storing a software code. The processing hardware executes the software code to receive a digital object, surround the digital object with virtual cameras oriented toward the digital object, render, using each one of the virtual cameras, a depth map identifying a distance of that one of the virtual cameras from the digital object, and generate, using the depth map, a volumetric perspective of the digital object from a perspective of that one of the virtual cameras, resulting in multiple volumetric perspectives of the digital object. The processing hardware further executes the software code to merge the multiple volumetric perspectives of the digital object to form a volumetric representation of the digital object, and to convert the volumetric representation of the digital object to a renderable form.

Abstract: A system includes a computing platform having processing hardware and a memory storing an asset library and software code including a recommendation engine. The processing hardware executes the software code to receive, from a user, group generation data and a preferences profile of the user, the group generation data identifying a group including the user and another user, and to send, to the other user, an invitation to join the group. The processing hardware also executes the software code to receive, from the other user, one of an acceptance or a refusal of the invitation, obtain, in response to receiving the acceptance, a preferences profile of the other user, generate, using the preferences profiles of the user and the other user, a group preferences profile for the group, and identify, using the recommendation engine and the group preferences profile, one or more assets in the asset library for the group.

Abstract: A robot control method, and associated robot controllers and robots operating with such methods and controllers, providing real-time vibration suppression. The control method involves learning to support real-time, vibration-suppressing control. The method uses state-of-the-art machine learning techniques in conjunction with a differentiable dynamics simulator to yield fast and accurate vibration suppression. Vibration suppression using offline simulation approaches that can be computationally expensive may be used to create training data for the controller, which may be provide by a variety of neural network configurations. In other cases, sensory feedback from sensors onboard the robot being controlled can be used to provide training data to account for wear of the robot's components.

Abstract: Techniques are disclosed for learning a machine learning model that maps control data, such as renderings of skeletons, and associated three-dimensional (3D) information to two-dimensional (2D) renderings of a character. The machine learning model may be an adaptation of the U-Net architecture that accounts for 3D information and is trained using a perceptual loss between images generated by the machine learning model and ground truth images. Once trained, the machine learning model may be used to animate a character, such as in the context of previsualization or a video game, based on control of associated control points.

Abstract: Embodiments herein describe a CDN where anycast routing is used to identify a load balancer for selecting a cache in the CDN to use to deliver a requested object to a user. In one embodiment, the user performs a DNS lookup to identify an anycast IP address for a plurality of load balancers in the CDN. The user can then initiate anycast routing using the anycast IP address to automatically identify the closest load balancer. Once the identified balancer selects the cache, the load balancer can close the anycast connection with the user device and use an HTTP redirect to provide the user device with a unicast path to the selected cache. The user device can then establish a unicast connection with the cache to retrieve (e.g., stream) the object.

Abstract: Systems and methods for dynamically and automatically generating digital watermarks are provided. Watermark payloads utilized in generating the digital watermarks are altered based upon changing conditions, such as environmental characteristics associated with playback or distribution of media content. Changing conditions may also encompass a change in the distribution/presentation chain of devices associated with the playback or distribution of the media content.

Abstract: Systems and methods for tracking objects in a field of view are disclosed. In one embodiment a method may include capturing, via a camera, a real-world object in the field of view; generating a first object data associating the real-world object with a first position of the real-world object in a real-world environment at a first time; generating a virtual object representative of the real-world object depicting the real-world object in the first position at the first time; generating a second object data associating the real-world object with a second position of the real-world object in the real-world environment at a second time, determining a displacement value of the real-world object between the first position and the second position, modifying the virtual object to include an indication that the real-world object has been displaced when the displacement value is greater than a threshold value.

Abstract: Techniques for personalized gamification of media content. An engagement level of a consumer is identified based on prior gamification data. A difficulty level is identified using machine learning based on the engagement level. A content element personalized for the consumer is generated based on biographical information or viewing habits. A prompt requesting the consumer to find and access multimedia content scenes depicting the content element is generated. A multimedia content scene found by the consumer is analyzed to determine whether the multimedia content scene has an association with the content element and whether the consumer has accessed the multimedia content element scene.

Abstract: The embodiments herein describe a firewall for a media production system to provide flexible security between an on-premises production environment and remote media production applications and devices (e.g., cloud-based virtual production environments). As new media devices and applications (referred to generally as media nodes) are added at remote locations, the firewall is updated to permit the media nodes to communicate with the on-premises production environment. The embodiments herein described an automatic (e.g., software driven) process where a network orchestrator can detect a change in the media nodes and update the rule set in the firewall accordingly.

Abstract: A system for providing default content enhanced with supplemental content includes processing hardware and a memory storing a software code. The processing hardware executes the software code to receive a content stream including multiple video frames, a first video frame of the multiple video frames including first default content, first supplemental content, and first encoded metadata, and to decode the first encoded metadata of the first video frame to produce first decoded metadata. The processing hardware further executes the software code to select, using the first decoded metadata, at least a first portion of the first supplemental content for use in enhancing the first default content, transfer, using the first decoded metadata, the selected first portion of the first supplemental content to one or more predetermined locations in the first default content to produce an enhanced first video content, and output the enhanced first video content to a display device.

Abstract: A surface covering for use as a moss covering or patch of grass via application to a surface or substrate. The surface covering provides a decorative and durable and easily maintained surface covering. The covering is fabricated using groups of fibers, such as metallic, plastic, or other material fibers, e.g., stainless steel fibers or strands available commercially as steel wool or the like. The fibers or strands provide a core of a body of each blade or piece of the surface covering, which is useful to replicate a blade of grass or moss or to mimic a strand of hair. Each body of the strands further includes an outer layer or coating, which can be formed by painting, e.g., with an epoxy or other useful material that may be colored, the mesh of metal fibers to provide a durable body with a desired look and feel.

Abstract: In various embodiments, an interactive streaming application plays back a media title via a client device. In operation, while a client device plays back a first chunk of the media title, the interactive streaming application determines a first movement of an internet of things (“IoT”) device. The interactive streaming application then determines, from multiple target states, a target state that is associated with the first movement. Based on the target state, the interactive streaming application determines that a second chunk of the media title should be a next chunk of the media title that is streamed to the client device for playback. The interactive streaming application then causes the second chunk of the media title to be streamed to the client device. Advantageously, the interactive streaming application can automatically personalize the playback of the media title for a user based, at least in part, on movements of the IoT device.

Abstract: There is provided systems and methods for performing actions based on light signatures. An exemplary system includes a light source, a light detector, a non-transitory memory storing a plurality of light signatures and a hardware processor. The hardware processor executes an executable code to illuminate, using the light source, a target object with a first light, collect, using the light detector, a second light being a reflection of the first light by the target object, match the second light with one of the plurality of light signatures, and perform an action in response to matching the second light with the one of the plurality of light signatures.

Abstract: There is provided a method including receiving a playback system identifier corresponding to a playback system, generating a blockchain corresponding to a content identifier identifying a content, wherein the blockchain is uniquely associated with the content identifier, establishing, in the blockchain, a block corresponding to the playback system identifier, sending an encrypted version of the content to the playback system, and in response to one or more updates to the blockchain by the playback system, providing a content encryption key to the playback system for decrypting the encrypted version of the content.

Abstract: A storytelling system includes location-based content (LBC) servers and LBC effects databases for use in a real-world story venue, and a computing platform communicatively coupled to those LBC servers and databases. A processor of the computing platform executes software code to receive story selection data from a user device, obtain a story template including story arcs each associated with one or more LBC effect(s) that corresponds to the story selection data, and determine, using a location of the user device, one of the story arcs as an active story arc. The software code also identifies an LBC interaction zone for the LBC effect(s), designates one LBC server and one LBC effects database for supporting the active story arc, and distributes one or more of the LBC effect(s) to the designated database. The designated server enables instantiation of the one or more of the LBC effect(s) at the LBC interaction zone.

Abstract: There is provided a method for use by a mobile device. The method includes launching a software application requiring an identity verification of each of a plurality of users for performing a requested action, the plurality of users including a first user and a second user, receiving a first biometric information of the first user and a second biometric information of the second user, sending the first biometric information of the first user and the second biometric information of the second user to a server, receiving notifications from the server as to whether the first and second biometric information corresponding to biometric information in first user and second user profiles, respectively, and performing the requested action, if the notifications indicate a match.

Abstract: The present disclosure relates to calibration, customization, and improved user experiences for smart or bionic lenses that are worn by a user. The calibration techniques include detecting and correcting distortion of a display of the bionic lenses, as well as distortion due to characteristics of the lens or eyes of the user. The customization techniques include utilizing the bionic lenses to detect eye characteristics that can be used to improve insertion of the bionic lenses, track health over time, and provide user alerts. The user experiences include interactive environments and animation techniques that are improved via the bionic lenses.

Abstract: A system for performing digital rights protected content playing includes a computing platform having a hardware processor and a memory storing a software code. The hardware processor executes the software code to receive, from a first user, metadata identifying one or more content segment(s), determine whether the first user has a right to access the content segment(s), produce a playlist using the metadata when the first user has the right, and output the playlist to the first user and/or a second user. The hardware processor may further execute the software code to receive the playlist from the second user, determine each content segment identified by the playlist that the second user has a right to access, generate a content compilation that omits any content segment identified by the playlist to which the second user lacks the right, and playout the content compilation to the second user.

Abstract: A system includes a computing platform having a hardware processor and a memory storing a software code and a neural network (NN) having multiple layers including a last activation layer and a loss layer. The hardware processor executes the software code to identify different combinations of layers for testing the NN, each combination including candidate function(s) for the last activation layer and candidate function(s) for the loss layer. For each different combination, the software code configures the NN based on the combination, inputs, into the configured NN, a training dataset including multiple data objects, receives, from the configured NN, a classification of the data objects, and generates a performance assessment for the combination based on the classification. The software code determines a preferred combination of layers for the NN including selected candidate functions for the last activation layer and the loss layer, based on a comparison of the performance assessments.

Abstract: In various embodiments, a training application generates training items for three-dimensional (3D) pose estimation. The training application generates multiple posed 3D models based on multiple 3D poses and a 3D model of a person wearing a costume that is associated with multiple visual attributes. For each posed 3D model, the training application performs rendering operation(s) to generate synthetic image(s). For each synthetic image, the training application generates a training item based on the synthetic image and the 3D pose associated with the posed 3D model from which the synthetic image was rendered. The synthetic images are included in a synthetic training dataset that is tailored for training a machine-learning model to compute estimated 3D poses of persons from two-dimensional (2D) input images. Advantageously, the synthetic training dataset can be used to train the machine-learning model to accurately infer the orientations of persons across a wide range of environments.

Abstract: This disclosure relates to systems and methods for using augmented reality with the internet of things. An augmented reality experience may be provided based on an operation of an object. Operation status information of a detected object may be obtained and a visual effect may be determined based on the operation status information. An object may be controlled using augmented reality. Operation status information of a detected object may be obtained and a control option may be determined based on the operation status information. A visual effect may be determined based on the control option and a user input regarding the control option may be obtained. A control information configured to effectuate a change in the operation of the object may be transmitted to the object.

Abstract: Techniques for using holographic imagery for eyeline reference for performers. A first computer generated object is identified for display to a first performer at a designated physical position on a set. A first holographic projection of the first computer generated object is generated using a first holographic display. The first holographic display is configured to make the first holographic projection appear, to the first performer, to be located at the designated physical position on the set. One or more images of the performer are captured using an image capture device with a field of view that encompasses both the first performer and the designated physical position on the set. The captured one or more images depict the first performer and do not depict the first holographic projection. The first computer generated object is added to the captured one or more images after the capturing.

Abstract: A system for performing synergistic object tracking and pattern recognition for event representation includes a computing platform having processing hardware and a system memory storing a software code. The processing hardware is configured to execute the software code to receive event data corresponding to one or more propertie(s) of an object, to generate, using the event data, a location data estimating a location of each of multiple predetermined landmarks of the object, and to predict, using one or both of the event data and the location data, a pattern corresponding to the propertie(s) of the object. The processing hardware is further configured to execute the software code to update, using the predicted pattern, the location data, and to merge the updated location data and the predicted pattern to provide merged data.

Abstract: Techniques are disclosed for creating digital faces. In some examples, an anatomical face model is generated from a data set including captured facial geometries of different individuals and associated bone geometries. A model generator segments each of the captured facial geometries into patches, compresses the segmented geometry associated with each patch to determine local deformation subspaces of the anatomical face model, and determines corresponding compressed anatomical subspaces of the anatomical face model. A sculpting application determines, based on sculpting input from a user, constraints for an optimization to determine parameter values associated with the anatomical face model. The parameter values can be used, along with the anatomical face model, to generate facial geometry that reflects the sculpting input.

Abstract: Techniques for machine learning optimization are provided. A video comprising a plurality of segments is received, and a first segment of the plurality of segments is processed with a machine learning (ML) model to generate a plurality of tags, where each of the plurality of tags indicates presence of an element in the first segment. A respective accuracy value is determined for each respective tag of the plurality of tags, where the respective accuracy value is based at least in part on a maturity score for the ML model. The first segment is classified as accurate, based on determining that an aggregate accuracy of tags corresponding to the first segment exceeds a predefined threshold. Upon classifying the first segment as accurate, the first segment is bypassed during a review process.