Abstract: Described herein is a technique in which a plurality of distortion meshes compensate for radial and chromatic aberrations created by optical lenses. The plurality of distortion meshes may include different lens specific parameters that allow the distortion meshes to compensate for chromatic aberrations created within received images. The plurality of distortion meshes may correspond to a red color channel, green color channel, or blue color channel to compensate for the chromatic aberrations. The distortion meshes may also include shaped distortions and grids to compensate for radial distortions, such as pin cushion distortions. In one example, the system uses a barrel-shaped distortion and a triangulation grid to compensate for the distortions created when the received image is displayed on a lens.

Abstract: The present disclosure is directed at pairing a host electronic device with a peripheral electronic device using visual recognition and deep learning techniques. In particular, the host device may receive an indication of a peripheral device via a camera or as a result of searching for the peripheral device (e.g., due startup of a related application or periodic scanning). The host device may also receive an image of the peripheral device (e.g., captured via the camera), and determine a visual distance to the peripheral device based on the image. The host device may also determine a signal strength of the peripheral device, and determine a signal distance to the peripheral device based on the signal strength. The host device may pair with the peripheral device if the visual distance and the signal distance are approximately equal.

Abstract: A device and a method for determining a format of an immersive image and/or for rendering an immersive image are disclosed, wherein the device for determining a format of an immersive image includes one or more processors configured to: determine an aspect ratio of an immersive image and one or more additional characteristics of the immersive image; and determine a format of the immersive image using the determined aspect ratio and the determined one or more additional characteristics of the immersive image.

Abstract: Described herein is a technique in which a plurality of distortion meshes compensate for radial and chromatic aberrations created by optical lenses. The plurality of distortion meshes may include different lens specific parameters that allow the distortion meshes to compensate for chromatic aberrations created within received images. The plurality of distortion meshes may correspond to a red color channel, green color channel, or blue color channel to compensate for the chromatic aberrations. The distortion meshes may also include shaped distortions and grids to compensate for radial distortions, such as pin cushion distortions. In one example, the system uses a barrel-shaped distortion and a triangulation grid to compensate for the distortions created when the received image is displayed on a lens.

Abstract: Methods and apparatus are disclosed for using long exposure video for virtual reality headsets. An example apparatus includes a video camera to capture first, real time video of a scene using a first field of view while operating using a first exposure time, the first exposure time corresponding to a normal exposure time of a human eye; a transformer to transform the first, real time video into a second video corresponding to a second exposure time, the second exposure time being at least twice as long as the first exposure time; and a display to display the second video at the second exposure time.

Abstract: A device and a method for selective presentation of subtitles are provided, wherein the device includes one or more processors configured to: receive a video and corresponding subtitle data, the video including audio data, which represent a first language of the video, and other-language content associated with a second language; determine a language skill requirement of the other-language content, the language skill requirement representing a language skill required to translate the other-language content into the first language; determine, whether a language skill of a user satisfies the determined language skill requirement; and in the case that the language skill of the user satisfies the determined language skill requirement, determine to not show the subtitle when presenting the other-language content of the video to the user.

Abstract: An embodiment of a semiconductor package apparatus may include technology to analyze an electronic image to determine indirect information including one or more of shadow information and reflection information, and provide the indirect information to a vehicle guidance system. Other embodiments are disclosed and claimed.

Abstract: A device, a system, a camera device, and corresponding methods are provided which allow to capture immersive images with improved quality by providing an assistance to a user. The assistance may be an automatic control and/or feedback-based. A device capable to provide a feedback-based assistance may include one or more processors configured to: receive an image; detect one or more objects within the image; determine, based on the detected one or more objects, whether a quality of the immersive image can be improved using at least one measure; and in the case that it is determined that the quality of the immersive image can be improved using at least one measure, provide control instructions to control one or more output devices to output information informing a user that the at least one measure can improve the quality when capturing an immersive image.

Abstract: A device and a method for selective presentation of subtitles are provided, wherein the device includes one or more processors configured to: receive a video and corresponding subtitle data, the video including audio data, which represent a first language of the video, and other-language content associated with a second language; determine a language skill requirement of the other-language content, the language skill requirement representing a language skill required to translate the other-language content into the first language; determine, whether a language skill of a user satisfies the determined language skill requirement; and in the case that the language skill of the user satisfies the determined language skill requirement, determine to not show the subtitle when presenting the other-language content of the video to the user.

Abstract: One embodiment of a virtual reality apparatus comprises: a graphics processing engine comprising a plurality of graphics processing stages, the graphics processing engine to render a plurality of image frames for left and right displays of a head mounted display (HMD); and foveation control hardware logic to independently control two or more of the plurality of graphics processing stages based on feedback received from an eye tracking module of the HMD, the feedback indicating a foveated region selected based on a current or anticipated direction of a user's gaze, the foveation control hardware logic to cause the two or more of the graphics processing stages to process the foveated region differently than other regions of the image frames.

Abstract: Described herein is a technique in which a plurality of distortion meshes compensate for radial and chromatic aberrations created by optical lenses. The plurality of distortion meshes may include different lens specific parameters that allow the distortion meshes to compensate for chromatic aberrations created within received images. The plurality of distortion meshes may correspond to a red color channel, green color channel, or blue color channel to compensate for the chromatic aberrations. The distortion meshes may also include shaped distortions and grids to compensate for radial distortions, such as pin cushion distortions. In one example, the system uses a barrel-shaped distortion and a triangulation grid to compensate for the distortions created when the received image is displayed on a lens.

Abstract: Herein is disclosed an infrastructure state prediction device comprising a memory device onto which an infrastructure state model corresponding to a location and a state timing of a plurality of infrastructure elements is stored; one or more processors, communicatively coupled to the memory device and configured to receive measurement information representing a location and an observed state of a first infrastructure element; determine a predicted state of a second infrastructure element based on a state timing corresponding to a second infrastructure element; determine a movement information based on the observed state of the first infrastructure element, the predicted state of the second infrastructure element and a relation between the location of the first infrastructure element and a location of the second infrastructure element; and generate a message comprising the movement information.

Abstract: A sensor calibrator comprising one or more processors configured to receive sensor data representing a calibration pattern detected by a sensor during a period of relative motion between the sensor and the calibration pattern in which the sensor or the calibration pattern move along a linear path of travel; determine a calibration adjustment from the plurality of images; and send a calibration instruction for calibration of the sensor according to the determined calibration adjustment. Alternatively, a sensor calibration detection device, comprising one or more processors, configured to receive first sensor data detected during movement of a first sensor along a route of travel; determine a difference between the first sensor data and stored second sensor data; and if the difference is outside of a predetermined range, switch from a first operational mode to a second operational mode.

Abstract: An infrastructure state prediction device includes a processor configured to receive sensor information from a sensor at an infrastructure element, wherein the sensor information includes an observation of a traffic object at the infrastructure element; and determine, based on the sensor information and an infrastructure state model comprising information indicative of a state timing for the infrastructure element, an updated state timing for the infrastructure element; and a transmitter configured to transmit the updated state timing to the infrastructure element.

Abstract: Described herein is a technique in which a plurality of distortion meshes compensate for radial and chromatic aberrations created by optical lenses. The plurality of distortion meshes may include different lens specific parameters that allow the distortion meshes to compensate for chromatic aberrations created within received images. The plurality of distortion meshes may correspond to a red color channel, green color channel, or blue color channel to compensate for the chromatic aberrations. The distortion meshes may also include shaped distortions and grids to compensate for radial distortions, such as pin cushion distortions. In one example, the system uses a barrel-shaped distortion and a triangulation grid to compensate for the distortions created when the received image is displayed on a lens.

Abstract: A device and a method for determining a format of an immersive image and/or for rendering an immersive image are disclosed, wherein the device for determining a format of an immersive image includes one or more processors configured to: determine an aspect ratio of an immersive image and one or more additional characteristics of the immersive image; and determine a format of the immersive image using the determined aspect ratio and the determined one or more additional characteristics of the immersive image.

Abstract: Herein is disclosed a detection device comprising one or more sensors, configured to receive sensor input from a vicinity of a first vehicle, and to generate sensor data representing the received sensor input; one or more processors, configured to detect a second vehicle from the received sensor data; determine from the sensor data a region of a first type relative to the second vehicle and a region of a second type relative to the second vehicle; and control the first vehicle to avoid or reduce travel in the one or more regions of the first type or to travel from a region of the first type to a region of the second type.

Abstract: Apparatus and method for correcting image regions following upsampling or frame interpolation. For example, one embodiment of an apparatus comprises a machine-learning engine to evaluate at least a first image in a sequence of images generated by a real-time interactive application, the machine learning engine to responsively use previously learned data to generate an upsampled or interpolated image comprising a plurality of pixel patches. In one embodiment, each pixel patch is associated with a confidence value reflecting how accurately the pixel patch was generated by the machine learning engine. A selective ray tracing engine identifies a first pixel patch to be corrected based a first confidence value corresponding to the first pixel patch being lower than a threshold and performs ray tracing operations on a first portion of the first image to generate a corrected first pixel patch.

Abstract: Autonomous unmanned vehicles (UVs) for responding to situations are described. Embodiments include UVs that launch upon detection of a situation, operate in the area of the situation, and collect and send information about the situation. The UVs may launch from a vehicle involved in the situation, a vehicle responding to the situation, or from a fixed station. In other embodiments, the UVs also provide communications relays to the situation and may facilitate access to the situation by responders. The UVs further may act as decoupled sensors for vehicles. In still other embodiments, the collected information may be used to recreate the situation as it happened.