Abstract: A method of monitoring a user performing a handwashing procedure, including: recognizing a user based upon biometric information obtained at a handwashing station, a user; detecting use of a component of the handwashing station; capturing image data of the user at the handwashing station; capturing data describing components and consumables used at the handwashing station; analyzing, using a processor, the image data; determining compliance with a handwashing procedure based at least in part on the analysis of the image data and the use of the component; and communicating compliance information.

Abstract: Various embodiments set forth a computer-implemented method for selectively caching digital content for streaming, comprising analyzing a set of traffic data associated with streaming of a plurality of media items in a first time period, selecting, based on the set of traffic data, a first media item for storage in a cache during a second time period, and storing in the cache, prior to receiving a request for the first media item in the second time period, at least a portion of a first media stream of a plurality of media streams associated with the first media item, and at least a portion of a second media stream of the plurality of media streams, wherein each media stream in the plurality of media streams is encoded with different characteristics.

Abstract: A robot including a hybrid fan-based and fluid-based propulsion system to provide thrust, such as deceleration during fall to create a smooth landing or to provide a quick reduction in velocity, and to provide actuation/controlled motion, such as to hover after quick deceleration and to control orientation or pose. The hybrid propulsion system uses discharging of pressurized fluid and exhausted gas (or fluid in some cases) from ducted fans (or propellers, impellers, and the like) to provide controlled thrust and/or lift forces. The hybrid propulsion system uses of pressurized fluid for generating larger or primary thrust and quick changes in velocity. The hybrid propulsion system includes a fan-based propulsion assembly with ducted fans that use environmental air (or fluids) to provide lower or secondary thrust. Both types of propulsion can be integrated into a robot or robotic figure to move the robot during flight (e.g., during falling or hovering).

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: The embodiments herein describe a CDN that uses revalidation to force edge servers to refresh their cached objects (i.e., download new copies of the objects from the origin data center). Revalidation can be used by edge servers to determine whether an object currently cached at the edge servers has been updated or changed in the origin data center. The embodiments herein leverage revalidation to perform a forced refresh to force the edge servers to refresh their cached object, regardless whether those cached objects match the objects stored in the origin data center. A forced refresh can be used when there is a network connection that may have caused the cached objects to become corrupted. Moreover, the forced refresh can be performed in batches so as not to overwhelm the network and computing resources in the CDN.

Abstract: Implementations of angle-enhancing screens are disclosed herein. The angle-enhancing screens increase the field of view of an image projected thereon by a projection lens while maintaining an increased size of the projected image, by decreasing the size of picture elements making up the image while maintaining their pitch. In some embodiments, the angle-enhancing screen includes a field lens, such as a Fresnel field lens, for straightening the views of light projected thereon and a double lenslet array of matched lenslet pairs, each of the pairs including either two positive lenslets or one positive and one negative lenslet, for increasing the field of view. In another embodiment, the angle-enhancing screen may include a field lens and an array of four positive lenslet quartets. In a further embodiment, the field lens may be replaced with a Gabor superlens including two lenslet arrays of different pitches.

Abstract: Systems and methods for increasing consumer engagement with a multimedia content distribution system through the use of temporal metadata and gamification techniques. Personalized game-like tasks are created, whereby a consumer is enticed to find and access multimedia content containing a specific content element, or “easter egg,” to earn a reward. The specific content element may be identifiable based on temporal metadata tags associated with multimedia content available within the multimedia content distribution system. To further increase the probability of consumer engagement, the easter egg may be personalized based on data unique to the consumer, such as consumer preferences, viewing habits, and previous engagement level with the multimedia content.

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: A technique for controlling a voice-enabled device using voice commands includes receiving an audio signal that is generated in response to a verbal utterance, generating a verbal utterance indicator for the verbal utterance based on the audio signal, selecting a first command for a voice-controlled application residing within the voice-enabled device based on the verbal utterance indicator, and transmitting the first command to the voice-controlled application as an input.

Abstract: The exemplary embodiments relate to improving the user experience associated with a digital platform. A first user device configured to remotely access a digital platform may receive a first signal broadcast by a second user device. Two or more types of communication protocols that are available to use for establishing a direct communication channel between the user devices are identified. One of the communication protocols is selected and a communication channel is established between the user devices in accordance with the selected communication protocol. The first user device then receives authentication information from the second user and establishes a session with the digital platform based on the authentication information received from the second user device.

Abstract: In one embodiment, a character engine models a character that interacts with users. The character engine receives user input data from a user device, and analyzes the user input data to determine a user intent and an assessment domain. Subsequently, the character engine selects inference algorithm(s) that include machine learning capabilities based on the intent and the assessment domain. The character engine computes a response to the user input data based on the selected inference algorithm(s) and a set of personality characteristics that are associated with the character. Finally, the character engine causes the user device to output the response to the user. In this fashion, the character engine includes sensing functionality, thinking and learning functionality, and expressing functionality.

Abstract: A system for simulating human-like affect-driven behavior includes a hardware processor and a system memory storing software code providing a virtual agent. The hardware processor executes the software code to identify a character assumed by the virtual agent and having a personality, a target state of motivational fulfillment, a baseline mood, and emotions. The software code identifies current physical and motivational fulfillment states, and currently active emotions of the character, and determines a current mood of the character based on the baseline mood and the currently active emotions. The software code further detects an experience by the character and plans multiple behaviors including a first behavior based on the experience and the current physical state, the second behavior based on the experience, the personality, the current mood, and the currently active emotions, and a third behavior based on the target and current states of motivational fulfillment.

Abstract: Techniques are disclosed for recognizing aspect ratio errors in image frames of a video and reporting the same. An aspect ratio checker application receives a video that includes multiple image frames and identifies aspect ratio changes in those image frames using a first differential of a time series that includes determined positions of the top, bottom, left, and right of content regions within the image frames. In particular, the aspect ratio checker may identify aspect ratio changes based on non-zero points of the first differential, and the aspect ratio checker further determines aspect ratios of content regions within image frames corresponding to the non-zero points of the first differential. In addition, the aspect ratio checker may generate and display a report indicating the determined aspect ratios and image frame ranges associated with those aspect ratios.

Abstract: The exemplary embodiments are related to a device, a system, and a method for implementing a mechanism that is configured to prevent the unauthorized execution of software. A user device is configured to execute a feature access function corresponding to an application feature included in an application. The feature access function is configured to receive one of a plurality of values each time the application is launched. During operation, the feature access function receives a value and determines whether a condition is satisfied. When the condition is satisfied, the value is returned which indicates that execution of the application feature is permitted.

Abstract: There is presented a system for providing a digital multimedia presentation. The system includes a processor and a memory. The system further includes a presentation content database stored in the memory, the presentation content database configured to store a plurality of episodes of a media series each of the plurality of episodes including and a credit portion. The system also includes a media player for execution by the processor and configured to play a selected episode of the plurality of episodes of the media series, and a review and redirection application for execution by the processor and configured to determine a next episode of the selected episode in the media series, where the processor executes the review and redirection pane during or after the credit portion of the selected episode to present a consumer with the next episode of the selected episode in the media series.

Abstract: There is provided a method and system for allocating access to digital media content. In one embodiment, the system may comprise a media server accessible over a communications network, a processor of the media server being configured to encrypt the digital media content to produce a secondary license for the digital media content, and to provide a temporary license key allowing a user to access at least a first portion of the digital media content during an activation usage interval of the secondary license for that portion of the digital media content assigned to the user. The media server further comprises an assignment database configured to store an assignment status of the license. Such a system is configured to permit the user to access the assigned portion of the digital media content during the usage interval.

Abstract: Systems, methods and articles of manufacture for modeling a joint language-visual space. A textual query to be evaluated relative to a video library is received from a requesting entity. The video library contains a plurality of instances of video content. One or more instances of video content from the video library that correspond to the textual query are determined, by analyzing the textual query using a data model that includes a soft-attention neural network module that is jointly trained with a language Long Short-term Memory (LSTM) neural network module and a video LSTM neural network module. At least an indication of the one or more instances of video content is returned to the requesting entity.

Abstract: The disclosure provides an approach for learning latent representations of data using factorized variational autoencoders (FVAEs). The FVAE framework builds a hierarchical Bayesian matrix factorization model on top of a variational autoencoder (VAE) by learning a VAE that has a factorized representation so as to compress the embedding space and enhance generalization and interpretability. In one embodiment, an FVAE application takes as input training data comprising observations of objects, and the FVAE application learns a latent representation of such data. In order to learn the latent representation, the FVAE application is configured to use a probabilistic VAE to jointly learn a latent representation of each of the objects and a corresponding factorization across time and identity.

Abstract: A system for securing a content processing pipeline includes a computing platform having a hardware processor and a memory storing a software code. The hardware processor executes the software code to insert a synthesized test image configured to activate one or more neurons of a malicious neural network into a content stream, provide the content stream as an input stream to a first processing node of the pipeline, and receive an output stream including a post-processed test image. The hardware processor further executes the software code to compare the post-processed test image in the output with an expected image corresponding to the synthesized test image, and to validate at least one portion of the pipeline as secure when the post-processed test image in the output matches the expected image.