Abstract: A system may comprise a fog generating unit configured to generate fog; a fog distributing unit comprising: an intake component configured to receive the fog generated by the fog generating unit, a fog manifold configured to receive the fog from the intake component and separate the fog into a plurality of fog portions, a fog laminar assembly comprising a plurality of laminar portions configured to receive the plurality of fog portions and generate a plurality of laminar flows of fog using the plurality of fog portions; and a plurality of light sources configured to illuminate the plurality of laminar flows of fog to create a plurality of images, of an item, on the plurality of laminar flows of fog.

Abstract: An HIL simulation platform may analyze a computer-aided design (CAD) drawing of a device of an operator console. The HIL simulation platform may determine, based on analyzing the CAD drawing, device type information and signal information of the device. The device type information identifies a device type of the device and the signal information identifies one or more signal types of signals associated with the device. The HIL simulation platform may generate, based on the device type information, a simulation device for an HIL simulation of an operation of the device in an HIL simulation environment. The HIL simulation platform may generate, based on the signal information, a name of an output signal from the simulation device. The HIL simulation platform may map, based on the name, the output signal to a controller device in a real world environment and execute a computer model to perform the HIL simulation.

Abstract: A system may comprise a projection surface and a light source. The projection surface may comprise a first layer comprising a material that prevents reflection of light, a second layer comprising a transparent image forming material, and a third layer comprising a privacy screen filter. The second layer may be provided between the first layer and the third layer. The light source may be configured to emit light on the projection surface to create an image on the projection surface. The light source may face the first layer. The light may be emitted at a projection angle on the projection surface. The third layer may cause the projection surface to appear translucent from a viewpoint of the light source emitting the light at the projection angle.

Abstract: A differential media uploading system includes a hardware processor and a memory storing software code. The hardware processor executes the software code to receive a timeline file including a playlist track for a video file, and determine whether any pre-existing video frames stored in a media mastering system include a respective image depicted by a video frame contained in the video file. When it is determined that any of the pre-existing video frames include the respective image, the hardware processor executes the software code to disregard the video frame. When it is determined that none of the pre-existing video frames include the respective image, the hardware processor executes the software code to encode the video frame to provide an encoded video frame and upload the encoded video frame to the media mastering system.

Abstract: A robot design and control system including a procedural animation engine and a graphical animation editor that enable animators to author stylized walking gaits achievable by physical robotic characters, including bipedal robots of varying design. The animation engine generates dynamically feasible reference trajectories for omnidirectional walking given a desired walking velocity that may be input from a joystick or an artificial intelligence (AI) planner. This allows a legged robot to walk along an arbitrary path while expressing a custom animation “style,” e.g., a happy walk, a sneaky walk, or other manner of walking. The stylized walking motion or gait is generalized by the animation engine from a small number of animation samples that are defined at key walking velocities and tracked using a whole-body controller. The set of samples that are used as input to define a walking style is authored by an animator using the animation editor.

Abstract: Techniques relating to streaming video are disclosed. These techniques include identifying one or more streaming video sessions for one or more users based on a plurality of events relating to streaming video for the one or more users. The techniques further include storing data for the one or more streaming video sessions in an electronic database, based on the plurality of events, identifying a plurality of metadata relating to the events, and determining, based on a threshold value, a time to store at least a portion of the plurality of metadata in the electronic database, the time occurring after the storing the data for the one or more streaming video sessions. The techniques further include responding to a query for metrics relating to the one or more streaming video sessions by aggregating at least a portion of the stored data.

Abstract: One embodiment of the present invention sets forth a technique for performing frame interpolation. The technique includes generating (i) a first set of feature maps based on a first set of rendering features associated with a first key frame, (ii) a second set of feature maps based on a second set of rendering features associated with a second key frame, and (iii) a third set of feature maps based on a third set of rendering features associated with a target frame. The technique also includes applying one or more neural networks to the first, second, and third set of feature maps to generate a set of mappings from a first set of pixels in the first key frame to a second set of pixels in the target frame. The technique further includes generating the target frame based on the set of mappings.

Abstract: Techniques to manage media flows for broadcast with public cloud networks. A request for a media flow is received. A location of the media flow is identified based on a registration database configured to maintain locations of media flows across a media production facility and a public cloud network facility. The media flow is accessed, and at least one of the receiving entity or the requesting entity is configured to generate media based on the media flow.

Abstract: In some embodiments, a method trains a first parameter of a differentiable proxy codec to encode source content based on a first loss between first compressed source content and second compressed source content that is output by a target codec. A pre-processor pre-processes a source image to output a pre-processed source image, the pre-processing being based on a second parameter. The differentiable proxy codec encodes the pre-processed source image into a compressed pre-processed source image based on the first parameter. The method determines a second loss between the source image and the compressed pre-processed source image and determines an adjustment to the first parameter based on the second loss. The adjustment is used to adjust the second parameter of the pre-processor based on the second loss.

Abstract: Systems and methods generating a haptic output response are disclosed. Video content is displayed on a display. A location of a user touch on the display is detected while the video content is being displayed. A region of interest in the video content is determined based on the location of the user touch. And a haptic output response is generated to a user. A characteristic of the haptic output response is determined using one or more characteristics of the region of interest.

Abstract: In some embodiments, a method generates a first representation of a first relationship between bitrate and quality based on first features of a first portion of a video. The first representation is analyzed to determine a first list of potential bitrates for the first portion of video. The method analyzes potential bitrates and quality associated with the respective potential bitrates to refine the first list of potential bitrates to a second list of bitrates. The second list of bitrates includes a different list of bitrates than the first list of potential bitrates. The method outputs the second list of bitrates for encoding the first portion of video.

Abstract: A computer-implemented method of changing a face within an output image or video frame that includes: receiving an input image that includes a face presenting a facial expression in a pose; processing the image with a neural network encoder to generate a latent space point that is an encoded representation of the image; decoding the latent space point to generate an initial output image in accordance with a desired facial identity but with the facial expression and pose of the face in the input image; identifying a feature of the facial expression in the initial output image to edit; applying an adjustment vector to a latent space point corresponding to the initial output image to generate an adjusted latent space point; and decoding the adjusted latent space point to generate an adjusted output image in accordance with the desired facial identity but with the facial expression and pose of the face in the input image altered in accordance with the adjustment vector.

Abstract: A system includes a machine learning (ML) model-based video downsampler configured to receive an input video sequence having a first display resolution, and to map the input video sequence to a lower resolution video sequence having a second display resolution lower than the first display resolution. The system also includes a neural network-based (NN-based) proxy video codec configured to transform the lower resolution video sequence into a decoded proxy bitstream. In addition, the system includes an upsampler configured to produce an output video sequence using the decoded proxy bitstream.

Abstract: There are provided systems and methods for providing photosensitivity mitigation during display of content. In one implementation, such a system includes a hardware processor and a system memory storing a software application. The hardware processor is configured to execute the software application to, while content is being displayed on a primary display for viewing by a viewer, determine that a portion of the content that is about to be displayed on the primary display may trigger a photosensitivity reaction by the viewer, generate an alert to the viewer to switch viewing the content from the primary display to viewing the content from a secondary display, and display the portion of the content on the secondary display.

Abstract: A system includes a processor, and a memory storing software code and a machine learning (ML) model trained to allocate media production resources. The processor executes the software code to receive data describing a media flow requiring processing, identify, using the data and the ML model, media production resources for processing the described media flow, obtain the media production resources, and aggregate, from each of the media production resources, performance and billing metrics of a respective one of the media production resources resulting from processing of the described media flow by the media production resources. The processor may further execute the software code to determine, using the aggregated performance and billing metrics, a resource allocation efficiency score corresponding to each of one or more of the media production resources to provide one or more resource allocation efficiency score(s), and further train, using the resource allocation efficiency score(s), the ML model.

Abstract: Techniques for aligning object representations for animation include analyzing a source object representation and a target object representation to identify a category of the source object and a category of the target object. Based on the category or categories of the objects, a feature extraction machine learning models is selected. The source object representation and the target object representation are provided as input to the selected feature extraction machine learning model to generate respective semantic descriptors and shape vectors for the source and target objects. Based on the semantic descriptors and the shape vectors for the source and target objects, an alignment machine learning model generates an aligned target object representation that is aligned with the source object representation and usable for animating the target object.

Abstract: In some embodiments, a method receives a first image and a second image for a comparison of film grain. The first image and the second image are converted from a spatial domain to a frequency domain to generate a first frequency domain representation for the first image and a second frequency domain representation of the second image. The method compares a first distribution of frequency components from the first frequency domain representation to a second distribution of frequency components from the second frequency domain representation. A score for an assessment of differences of the film grain in the first image and the second image is generated based on the comparing.

Abstract: In some embodiments, a method analyzes flagged locations from a plurality of locations in an encoding of a video to form a cluster of locations. Draft micro-chunk boundaries for the cluster are determined based on searching for a first start location and a first end location in the encoding. The method searches in a first search range before the first start location and a second search range after the first end location for a second start location in the first search range and a second end location in the second search range. The second start location and the second end location form a micro-chunk. An encoding parameter set is determined for the micro-chunk formed by the second start location and the second end location based on content characteristics of the micro-chunk. The method uses the encoding parameter set to encode the micro-chunk for insertion in the encoding of the video.

Abstract: In some embodiments, a method receives a video including interlaced frames. Second fields for a second frame and the second fields for a third frame are analyzed to determine estimated second fields for the first frame in an image space. The method converts the first fields and the estimated second fields for the first frame into first features and second features, respectively, in a feature space. The estimated second features are determined for the estimated second fields for the first frame based on the first features for the first frame. Backward features from the second frame and forward features from the third frame are used to determine the estimated second features for the first frame. The method outputs a prediction for the estimated second fields for the first frame based on the estimated second features and generates a first frame with the first fields and estimated second fields.

Abstract: In some implementations, a controller may cause a robotic arm connector, of the robotic arm, to be connected to a first compartment connector of a passenger compartment of an amusement ride. The controller may cause a second compartment connector, of the passenger compartment, to be disconnected from a first structure connector of a first support structure. The controller may transport the passenger compartment from the first support structure to a second support structure after causing the second compartment connector to be disconnected from the first structure connector.