Abstract: A computer vision processor in an image cluster defines a fenced memory region (FMR) that controls access to image data stored in a first portion of a trusted memory region (TMR). The computer vision processor receives FMR requests from an application implemented in a processing cluster. The FMR requests are to access the image data in the first portion of the TMR. The computer vision processor selectively allows the requesting application to access the image data. In some cases, the computer vision processor acquires the image data and stores the image data in the first portion of the TMR, such as buffers in the TMR. A data fabric selectively permits the image processing application to access the data stored in the TMR based on whether the image cluster has opened or closed the FMR for the portion of the TMR.

Abstract: A hybrid co-processing system including both complex instruction set computer (CISC) architecture-based processing clusters and reduced instruction set computer (RISC) architecture-based processing clusters includes a parser to derive from a hardware configuration specific to the CISC architecture, such as an ACPI table, a device tree specific to the RISC architecture for booting. The hardware configuration information indicated by the device tree is specific to the RISC architecture, and in different cases includes more, less, or revised information than a corresponding ACPI table for the same hybrid co-processing system.

Abstract: In an aspect, a user equipment (UE) is positioned within a driver operation zone of a vehicle, one or more UE-based user interfaces (UIs) are restricted and forwarded to a vehicle-based UI controller to permit access to the one or more UE-based features via a vehicle-based UI. In another aspect, the UE in the driver operation zone is engaged in hands-free speakerphone mode via a vehicle audio system of the vehicle, and an attempt to transition the UE to handset-based audio mode is blocked. In another aspect, when a handset-based audio capture and/or playback attempt of the UE is detected, the UE interacts with a vehicle audio system to temporarily reduce volume being output by one or more proximal speakers. In another aspect, the UE streams media to a media presentation device in its own zone or another zone of the vehicle for presentation thereon.

Abstract: This disclosure describes methods, techniques, devices, and apparatuses for graphics and display processing for light field projection displays. In some examples, this disclosure describes a projection display system capable of rendering and displaying multiple annotations at the same time. An annotation is any information (e.g., texts, signs, directions, logos, phone numbers, etc.) that may be displayed. In one example, this disclosure proposes techniques for rendering and displaying multiple annotations at the same time at multiple different focal lengths.

Abstract: Systems and methods for reducing the bandwidth required to transmit video streams related to faces re described herein. In some aspects, contour information from face recognition technology is captured at a transmitting device and sent to a receiving device. The contour information may be used to reconstruct the face at the receiving device without the need to send an entire video frame of the face.

Abstract: This disclosure describes methods, techniques, devices, and apparatuses for graphics and display processing for light field projection displays. In some examples, this disclosure describes a projection display system capable of rendering and displaying multiple annotations at the same time. An annotation is any information (e.g., texts, signs, directions, logos, phone numbers, etc.) that may be displayed. In one example, this disclosure proposes techniques for rendering and displaying multiple annotations at the same time at multiple different focal lengths.

Abstract: A software application executing on at least one processor may output a video at a frame rate for display at a display device. The at least one processor may synchronize a refresh rate of the display device displaying the video to the frame rate of the video. In response to detecting a potential delay in displaying, at the display device, a frame of the video to be output by the software application, the at least one processor may time-shift at least one of: compositing of the frame and refreshing of the display device to mitigate the potential delay in displaying, at the display device, the frame of the video to be output by the software application.

Abstract: In an aspect, a user equipment (UE) is positioned within a driver operation zone of a vehicle, one or more UE-based user interfaces (UIs) are restricted and forwarded to a vehicle-based UI controller to permit access to the one or more UE-based features via a vehicle-based UI. In another aspect, the UE in the driver operation zone is engaged in hands-free speakerphone mode via a vehicle audio system of the vehicle, and an attempt to transition the UE to handset-based audio mode is blocked. In another aspect, when a handset-based audio capture and/or playback attempt of the UE is detected, the UE interacts with a vehicle audio system to temporarily reduce volume being output by one or more proximal speakers. In another aspect, the UE streams media to a media presentation device in its own zone or another zone of the vehicle for presentation thereon.

Abstract: A software application executing on at least one processor may output a video at a frame rate for display at a display device. The at least one processor may synchronize a refresh rate of the display device displaying the video to the frame rate of the video. In response to detecting a potential delay in displaying, at the display device, a frame of the video to be output by the software application, the at least one processor may time-shift at least one of: compositing of the frame and refreshing of the display device to mitigate the potential delay in displaying, at the display device, the frame of the video to be output by the software application.

Abstract: In an aspect, a user equipment (UE) is positioned within a driver operation zone of a vehicle, one or more UE-based user interfaces (UIs) are restricted and forwarded to a vehicle-based UI controller to permit access to the one or more UE-based features via a vehicle-based UI. In another aspect, the UE in the driver operation zone is engaged in hands-free speakerphone mode via a vehicle audio system of the vehicle, and an attempt to transition the UE to handset-based audio mode is blocked. In another aspect, when a handset-based audio capture and/or playback attempt of the UE is detected, the UE interacts with a vehicle audio system to temporarily reduce volume being output by one or more proximal speakers. In another aspect, the UE streams media to a media presentation device in its own zone or another zone of the vehicle for presentation thereon.

Abstract: In an aspect, a user equipment (UE) is positioned within a driver operation zone of a vehicle, one or more UE-based user interfaces (UIs) are restricted and forwarded to a vehicle-based UI controller to permit access to the one or more UE-based features via a vehicle-based UI. In another aspect, the UE in the driver operation zone is engaged in hands-free speakerphone mode via a vehicle audio system of the vehicle, and an attempt to transition the UE to handset-based audio mode is blocked. In another aspect, when a handset-based audio capture and/or playback attempt of the UE is detected, the UE interacts with a vehicle audio system to temporarily reduce volume being output by one or more proximal speakers. In another aspect, the UE streams media to a media presentation device in its own zone or another zone of the vehicle for presentation thereon.

Abstract: Systems, methods, and apparatus for detecting a live human face in an image are disclosed. The methods, systems, and apparatus are capable of capturing an image of a verification pattern that has been reflected from a defined region of interest of a user's eye. The captured image can be compared to the emitted verification pattern to determine whether the captured reflection matches the emitted pattern and is within the region of interest to verify a live user of an electronic device.

Abstract: The apparatus and method for displaying video data are disclosed. Reference refresh frequency and/or time may be predetermined or derived from predetermined values. Measured refresh frequency and/or time of display panels may be determined and compared against the reference refresh frequency and/or time. Based on the comparisons and through one or more control loops, display properties of the display panels may be adjusted so that one or more display panels may be in sync with respect to their refresh timings without dedicated hardware or a common hardwired synchronization signal.

Abstract: The apparatus and method for displaying video data are disclosed. Reference refresh frequency and/or time may be predetermined or derived from predetermined values. Measured refresh frequency and/or time of display panels may be determined and compared against the reference refresh frequency and/or time. Based on the comparisons and through one or more control loops, display properties of the display panels may be adjusted so that one or more display panels may be in sync with respect to their refresh timings without dedicated hardware or a common hardwired synchronization signal.

Abstract: Systems, methods, and apparatus for detecting a live human face in an image are disclosed. The methods, systems, and apparatus are capable of capturing an image of a verification pattern that has been reflected from a defined region of interest of a user's eye. The captured image can be compared to the emitted verification pattern to determine whether the captured reflection matches the emitted pattern and is within the region of interest to verify a live user of an electronic device.

Abstract: Systems and methods for reducing the bandwidth required to transmit video streams related to faces re described herein. In some aspects, contour information from face recognition technology is captured at a transmitting device and sent to a receiving device. The contour information may be used to reconstruct the face at the receiving device without the need to send an entire video frame of the face.