Abstract:
Methods, computer-readable medium, and apparatus are described for adjusting uplink communication at a user equipment (UE) during wireless communication. The described aspects include determining uplink communication characteristic information corresponding to an uplink data rate based on one or more measurement values associated with transmissions by a modem on an uplink communication channel. Further, the described aspects include determining an adjusted uplink data rate based at least in part on the uplink communication characteristic information. Additionally, the described aspects include adjusting data transmission rate of an application layer entity based at least in part on the adjusted uplink data rate.
Abstract:
An example computing device may include memory and one or more processors. The one or more processors may be configured to parallel entropy decode encoded video data from a received bitstream to generate entropy decoded data. The one or more processors may be configured to predict a motion vector based on the entropy decoded data. The one or more processors may be configured to decode a motion vector residual from the entropy decoded data. The one or more processors may be configured to add the motion vector residual and motion vector. The one or more processors may be configured to warp previous reconstructed video data with an overlapped block-based warp function using the motion vector to generate predicted current video data. The one or more processors may be configured to sum the predicted current video data with a residual block to generate current reconstructed video data.
Abstract:
Aspects of the disclosure are related to a method, apparatus, and system for using display content from a rich operating system (OS) environment as a background image in a trusted user interface (UI), comprising: capturing a display buffer of the rich OS environment; passing the captured display buffer to a Trusted Application; and displaying, with the Trusted Application, the captured display buffer as the background image in the trusted UI, wherein the Trusted Application is executed in a Trusted Execution Environment (TEE).
Abstract:
Embodiments include devices and methods for processing an image captured by an image sensor of an unmanned autonomous vehicle (UAV). A processor of the UAV may determine a body coordinate matrix of the UAV. The processor may determine an estimated rotation of the image sensor of the UAV. The processor may determine an estimated rotation of the UAV. The processor may transform an image captured by the image sensor based on the body coordinate matrix, the estimated rotation of the image sensor, and the estimated rotation of the UAV.