Abstract: Systems, apparatus, articles of manufacture, and methods are disclosed to generate super-resolution upscaling. An example apparatus to process an image disclosed herein includes interface circuitry to accept input image data with a first resolution, machine readable instructions, and programmable circuitry to at least one of instantiate or execute the machine readable instructions to upscale the input image data based on an upscale factor to generate intermediate image data with a second resolution higher than the first resolution, process the input image data with a neural network to produce neural network output data with a number of channels per pixel that is based on the upscale factor, combine the intermediate image and the neural network output data to generate output image data with the second resolution.

Abstract: Technologies for managing a world model of a monitored area includes a roadway server configured to receive LIDAR sensing data from a LIDAR sensing system positioned to monitor the monitored area and generate a world map of the monitored area based on the LIDAR sensing data. The world model includes data that identifies objects located in the monitored area. The roadway server may distribute the world model to automated vehicles traveling through the monitored area via a stream or in response to directed requests. The roadway server may also receive sensor data from the automated vehicles, which may be used to generate the world model. The roadway server may distribute the world model to other interested devices located in or near the monitored area.

Abstract: Methods, systems, apparatus, and articles of manufacture to improve semantic image segmentation with a neural network accelerator system. Disclosed examples include an apparatus to perform semantic image segmentation comprising: mode selecting circuitry to transmit an input image to at least one of vision network circuitry and imaging network circuitry; the vision network circuitry to generate a first output based on a first feature map of a the input image being generated by image scaling circuitry; the imaging network circuitry to generate a second output of the input image; bottleneck extender circuitry to: upscale the first output to a resolution based on the second output; concatenate the first and second output to generate a concatenated output; and apply a convolution operation to the concatenated output; and segmentation head circuitry to generate a pixel level segmentation class map from the concatenated output.

Abstract: Methods and apparatus relating to image-based compression of Light Detection And Ranging (LIDAR) sensor data with point re-ordering are described. In an embodiment, logic receives distance sensor data and converts the received distance sensor data to point cloud data. The point cloud data corresponds to a set of points in a three dimensional (3D) space. The logic circuitry packs/organizes the converted point cloud data into one or more two dimensional (2D) arrays. Data stored in the one or more 2D arrays are compressed to generate a compressed version of the point cloud data. Other embodiments are also disclosed and claimed.

Abstract: Methods and apparatus relating to image-based compression of Light Detection And Ranging (LIDAR) sensor data with point re-ordering are described. In an embodiment, logic receives distance sensor data and converts the received distance sensor data to point cloud data. The point cloud data corresponds to a set of points in a three dimensional (3D) space. The logic circuitry packs/organizes the converted point cloud data into one or more two dimensional (2D) arrays. Data stored in the one or more 2D arrays are compressed to generate a compressed version of the point cloud data. Other embodiments are also disclosed and claimed.

Abstract: Aspects of the present invention are related to systems and methods for determining local-analysis-window size and weighting parameters in a gradient-based motion estimation system.

Abstract: Aspects of the present invention are related to systems and methods for determining local-analysis-window size and weighting parameters in a gradient-based motion estimation system.

Abstract: A system, may include, at least one of audio, image, and a video comprising a plurality of frames. A preferences description, describing preferences of a user with respect to the use of at least one of the audio, image, and video, where the description normally includes multiple preferences.

Abstract: A JPEG2000 file includes a plurality of boxes containing data suitable to render an image including a metadata box that includes information within the box describing the content of the image. The information within the metadata box describing content may be MPEG-7 data, which is compliant with the MPEG-7 specification.

Abstract: A method of using a system with at least one of audio, image, and a video comprises a plurality of frames comprising the steps of providing a usage preferences description where the usage preference description includes at least one of a browsing preferences description, a filtering preferences description, a search preferences description, and a device preferences description.

Abstract: A method of using a system with at least one of audio, image, and a video, comprising a plurality of frames comprising the steps of providing a usage preferences description includes at least one of a browsing preferences description, a search preferences description, and a device preferences description.

Abstract: A method of using a system with at least one of audio, image, and a video comprises a plurality of frames comprising the steps of providing a usage preferences description where the usage preference description includes at least one of a browsing preferences description, a filtering preferences description, a search preferences description, and a device preferences description. A usage history description is provided where the usage preference description includes at least one of a browsing history description, a filtering history description, a search history description, and a device usage history description. The usage preferences description and the usage history description are used to enhance system functionality.

Abstract: A system includes effective transmission of compressed audio/video stream as a sequence of audio/video (AV) data units. The system includes a transcoder that transcodes the data at different data unit rates. The system also includes a transmitter that transmits the data units at different average data unit rates. A controller controls the bit rate at which the transcoder transcodes the data units in conjunction with the data unit rate per second at which the transmitter transmits the said transcoded data stream.

Abstract: A transmission systems suitable for video.

Abstract: A method of using an audiovisual system including the steps of providing usage preferences descriptions, providing a first user identification description which identifies a particular user of at least one of the usage preference descriptions where the usage preference description is created by the user by interaction with the system or provided by the user to the system, and providing a second user identification description which identifies a different particular user of at least one of the usage preference descriptions, wherein the first user identification description and its associated usage preference description is disabled prior to the different user using his associated usage preference description. The usage preferences descriptions include at least two of a browsing preferences description, a filtering preferences description, a search preferences description, and a device preferences description.

Abstract: A method of using a system with at least one of audio, image, and a video having a plurality of frames, the method including the step of providing a plurality of usage preferences descriptions, where each of the usage preference descriptions is associated with a different season of the year. The seasons may include at least two of football season, baseball season, and hockey season. The seasons may include at least two of winter, spring, summer, and fall.

Abstract: A method of using an audiovisual system including the steps of providing usage preferences descriptions, providing a plurality of usage history descriptions, and providing a user identification description. The usage preferences descriptions include at least two of a browsing preferences description, a filtering preferences description, a search preferences description, and a device preferences description. Each usage history description includes at least one of a browsing history description, a filtering history description, a search history description, and a device usage history description. The user identification description identifies a corresponding set of at least one of the usage preference descriptions and at least one of the usage history descriptions.

Abstract: A method of using a system with at least one of audio, image, and a video comprises a plurality of frames comprising the steps of providing a usage preferences description where the usage preference description includes at least one of a browsing preferences description, a filtering preferences description, a search preferences description, and a device preferences description. The browsing preferences description relates to a user's viewing preferences.

Abstract: A method of using a system with at least one of audio, image, and a video comprising a plurality of frames comprising the steps of providing a usage preferences description where the usage preferences description includes at least one of a browsing preferences description, a filtering preferences description, a search preferences description, and a device preferences description.

Abstract: An agent for audiovisual materials is disclosed.