Abstract: Techniques and solutions are described for implementing virtual table schemas. A virtual table schema includes a logical pointer that is used to target a table that includes data and is defined according to the virtual table schema. Values assigned to the logical pointer can be used to target tables at different locations, such as in-memory storage or in dynamic storage of a database management system. The dynamic storage includes an in-memory buffer cache and persistent storage. The logical pointer can be updated to point to the in-memory storage or the dynamic storage, including based on use statistics. Similarly, a table having data for the virtual table can be transitioned between the in-memory buffer cache and the persistent storage, including based on use statistics for the virtual table. A value for the logical pointer can be updated when the table is transferred between the in-memory buffer cache and the dynamic storage.

Abstract: Techniques and solutions are described for implementing virtual table schemas. A virtual table schema includes a logical pointer that is used to target a table that includes data and is defined according to the virtual table schema. Values assigned to the logical pointer can be used to target tables at different locations, such as in-memory storage or in dynamic storage of a database management system. The dynamic storage includes an in-memory buffer cache and persistent storage. The logical pointer can be updated to point to the in-memory storage or the dynamic storage, including based on use statistics. Similarly, a table having data for the virtual table can be transitioned between the in-memory buffer cache and the persistent storage, including based on use statistics for the virtual table. A value for the logical pointer can be updated when the table is transferred between the in-memory buffer cache and the dynamic storage.

Abstract: A rearview device for a vehicle includes at least one sensor for detecting information of the environment of the vehicle, where the rearview device is attachable to the supporting structure of the vehicle by using at least one first fastening device and the rearview device includes at least one arm which is rotatably mounted by the first fastening device about at least one first axis of rotation which has at least one vertical component about at least one first pivot point for a first rotation.

Abstract: A rearview device for a vehicle (17) includes at least one sensor for detecting information of the environment of the vehicle, where the rearview device is attachable to the supporting structure of the vehicle by using at least one first fastening device, and the rearview device includes at least one arm which is rotatably mounted by the first fastening device about at least one first axis of rotation which has at least one vertical component about at least one first pivot point for a first rotation.

Abstract: Techniques for enhancing an image are described. For example, a lower-resolution image from a video file may be enhanced using a trained neural network applying the trained neural network on the lower-resolution image to remove artifacts by removing artifacts by generating, using a layer of the trained neural network, a residual value based on the proper subset of the received image and at least one corresponding image portion of a preceding lower resolution image in the video file and at least one corresponding image portion of a subsequent lower resolution image in the video file, upscale the lower-resolution image using bilinear upsampling, and combine the upscaled received image and residual value to generate an enhanced image.

Abstract: An input video stream corresponding to input video content may be received over one or more networks. The input video stream may include a first image frame. An input visual feature of the first image frame may be matched to a reference visual feature of a reference image. The reference image may have a higher image quality than the first image frame. A replacement visual feature may be generated for the input visual feature. The replacement visual feature may be generated based at least in part on the reference visual feature. An enhanced image frame corresponding to the first image frame may be generated by at least replacing the input visual feature in the first image frame with the replacement visual feature. An enhanced video stream may be provided. The enhanced image frame may be a substitute for the first image frame in the enhanced video stream.

Abstract: Techniques for enhancing an image are described. For example, a lower-resolution image from a video file may be enhanced using a trained neural network applying the trained neural network on the lower-resolution image to remove artifacts by removing artifacts by generating, using a layer of the trained neural network, a residual value based on the proper subset of the received image and at least one corresponding image portion of a preceding lower resolution image in the video file and at least one corresponding image portion of a subsequent lower resolution image in the video file, upscale the lower-resolution image using bilinear upsampling, and combine the upscaled received image and residual value to generate an enhanced image.

Abstract: Techniques for enhancing an image are described. For example, a lower-resolution image from a video file may be enhanced using a trained neural network applying the trained neural network on the lower-resolution image to remove artifacts by generating, using a layer of the trained neural network, a residual value based on the proper subset of the received image and at least one corresponding image portion of a previously generated higher resolution image in the video file, upscaling the received image using bilinear upsampling, and combining the upscaled received image and residual value to generate an enhanced image.

Abstract: The invention relates to a rearview device (1) for a vehicle (17), comprising at least one sensor (13, 15) for detecting information of the environment of the vehicle (17), wherein the rearview device (1) is attachable to the supporting structure of the vehicle (17) by means of at least one first fastening device (5), wherein the rearview device (1) comprises at least one arm (3) which is rotatably mounted by means of the first fastening device (5) about at least one first axis of rotation (D1), which has at least one vertical component, about at least one first pivot point for a first rotation.

Abstract: Techniques for enhancing an image are described. For example, a lower-resolution image, for example from a video file, may be enhanced using a trained neural network by applying the trained neural network to enhance a middle lower-resolution image of a plurality of lower-resolution images using a generator with filters of a generative adversary network. In some examples, a plurality of sequential feature processing acts are performed on the lower-resolution images to generate a residual which is added to a filtered version of one of the lower-resolution images to generate an enhanced image.

Abstract: Techniques for enhancing an image are described.

Abstract: Techniques for enhancing an image are described. For example, a lower-resolution image from a video file may be enhanced using a trained neural network applying the trained neural network on the lower-resolution image to remove artifacts by removing artifacts by generating, using a layer of the trained neural network, a residual value based on the proper subset of the received image and at least one corresponding image portion of a preceding lower resolution image in the video file and at least one corresponding image portion of a subsequent lower resolution image in the video file, upscale the lower-resolution image using bilinear upsampling, and combine the upscaled received image and residual value to generate an enhanced image.

Abstract: Techniques for enhancing an image are described. For example, a lower-resolution image from a video file may be enhanced using a trained neural network applying the trained neural network on the lower-resolution image to remove artifacts by generating, using a layer of the trained neural network, a residual value based on the proper subset of the received image and at least one corresponding image portion of a previously generated higher resolution image in the video file, upscaling the received image using bilinear upsampling, and combining the upscaled received image and residual value to generate an enhanced image.

Abstract: An interior minor for a motor vehicle, including a housing and a minor element held within it, can be tipped between a day position and a night position by means of at least one actuation element, where a direction of actuation of the at least one actuation element corresponds to a transverse direction of the interior minor in a central installation position.

Abstract: An interior minor for a motor vehicle, including a housing and a minor element held within it, can be tipped between a day position and a night position by means of at least one actuation element, where a direction of actuation of the at least one actuation element corresponds to a transverse direction of the interior minor in a central installation position.

Abstract: Systems and methods are included for determining a presence of an upcoming reading field during a write mode of a storage device, and initiating a read-while write (RWW) mode of the storage device in response to the sensed reading field. Initiating the RWW mode comprises warming up the reader circuitry, generating a signal in response to an end to the write operation, and activating reader bias current in response to the generated signal.

Abstract: Approaches for determining the timing latency of a communication path are described. Some embodiments involve a method for testing timing latency. A signal is driven on a first data path and is returned through a second data path through a loop back element. The timing latency of at least a portion of the communication path that includes the first data path and the second data path is tested using the signal returned on the second data path. The gain of the second data path is adjusted to a test value during the testing of the timing latency.

Abstract: Systems and/or methods for measuring latency in an electronic device such as, e.g., a storage device, may include coupling circuitry configured to capacitively couple an outbound or write data path to an inbound or read data path. A latency measurement signal may be driven on the write data path, the coupling circuitry may transmit at least a portion of the latency measurement signal from the write data path to the read data path, and the latency measurement signal may be sensed on the read data path to be used to determine communication path latency in the device.

Abstract: Approaches for determining the timing latency of a communication path are described. Some embodiments involve a method for testing timing latency. A signal is driven on a first data path and is returned through a second data path through a loop back element. The timing latency of at least a portion of the communication path that includes the first data path and the second data path is tested using the signal returned on the second data path. The gain of the second data path is adjusted to a test value during the testing of the timing latency.

Abstract: Systems and methods are included for determining a presence of an upcoming reading field during a write mode of a storage device, and initiating a read-while write (RWW) mode of the storage device in response to the sensed reading field. Initiating the RWW mode comprises warming up the reader circuitry, generating a signal in response to an end to the write operation, and activating reader bias current in response to the generated signal.