Abstract:
Techniques are described for providing a predictive data streaming service associated with a visual media file. For example, third type of frame data for a visual media file may be transmitted to a client device from a streaming service. In embodiments, a selection of the particular visual media file may be transmitted to the streaming service. A request may be made to an interface associated with the client device, via an application program interface call, for a first data stream of a first type of frame data and a second data stream of a second type of frame data for the particular visual media file. The request may be based at least in part on the selection of the particular visual media file and after receipt of the third type of frame data. The third type of frame data, the first data stream of the first type of frame data, and the second data stream of the second type of frame data may be interleaved based at least in part on instructions from the interface.
Abstract:
Techniques are described for providing a predictive data streaming service associated with a visual media file. For example, third type of frame data for a visual media file may be transmitted to a client device from a streaming service. In embodiments, a selection of the particular visual media file may be transmitted to the streaming service. A request may be made to an interface associated with the client device, via an application program interface call, for a first data stream of a first type of frame data and a second data stream of a second type of frame data for the particular visual media file. The request may be based at least in part on the selection of the particular visual media file and after receipt of the third type of frame data. The third type of frame data, the first data stream of the first type of frame data, and the second data stream of the second type of frame data may be interleaved based at least in part on instructions from the interface.
Abstract:
Aggregation of network traffic source behavior data across network endpoints may be implemented. Indications of endpoint-specific network traffic directed to different network endpoints may be received. Aggregate traffic source behavior data may be generated across multiple aggregation levels. One or more traffic aggregation nodes may be implemented for each aggregation level to maintain different respective portions of the aggregate traffic source behavior data. Different granularity of the aggregate traffic source behavior data may be maintained at each of the aggregation levels. An indication of traffic source behavior for traffic sources may be provided such that responsive actions, such as traffic control actions, may be performed with regard to the traffic sources.
Abstract:
Systems and techniques for storing and analyzing data. For instance, computing device(s) may store sensor data in first data files included within a first data buffer of a first memory, which may include a cache memory. The computing device(s) may then store metadata in metadata files included in a first metadata buffer of the first memory, where the first metadata files correspond to the first data files. After storing the data, the computing device(s) may determine that the sensor data represents an event. As such, the computing device(s) may store the sensor data in second data files included in a second data buffer of a second memory, which may include an archive memory. Additionally, the computing device(s) may store metadata in second metadata files included in a second metadata buffer of the second memory, where the second metadata files correspond to the second data files.
Abstract:
Aggregation of network traffic source behavior data across network endpoints may be implemented. Indications of endpoint-specific network traffic directed to different network endpoints may be received. Aggregate traffic source behavior data may be generated across multiple aggregation levels. One or more traffic aggregation nodes may be implemented for each aggregation level to maintain different respective portions of the aggregate traffic source behavior data. Different granularity of the aggregate traffic source behavior data may be maintained at each of the aggregation levels. An indication of traffic source behavior for traffic sources may be provided such that responsive actions, such as traffic control actions, may be performed with regard to the traffic sources.
Abstract:
A time-of-flight camera may be used to generate depth images of a scene, where the scene includes retroreflective materials. The time-of-flight camera may capture first sensor data by illuminating the scene at a first energy level, and by exposing a sensor for a first duration. If portions of the sensor are saturated by light reflected from retroreflective materials, corrupted pixels are detected within the first sensor data. A second set of sensor data may be captured by illuminating the scene at a second energy level, or by exposing the sensor for a second duration. The corrupted pixels may be identified and masked from the first sensor data, which may be blended with corresponding portions of the second sensor data to generate a depth image.
Abstract:
This disclosure describes techniques for synchronizing data streams. In some instances, a computing device couples to multiple sensors, such as cameras, and applies accurate timestamp information to the individual frames of sensor data from the independent sensors. After aligning these data streams by applying these accurate timestamps, the computing device may, in some instances, encode and transmit these timestamped data streams to one or more entities for further processing. In one example, a first camera (e.g., a depth camera configured to generate a depth map) may capture images of an environment, as may a second camera (e.g., an Red-Green-Blue (RGB) camera configured to generate color images). The resulting images may be temporally aligned with one another via the timestamping, and the resulting aligned images from both the depth sensor and the RGB camera may be used to create a three-dimensional (3D) model of the environment.
Abstract:
Technologies are disclosed herein for providing a service provider network integrated compilation service and runtime system. In particular, a compilation service is disclosed that provides functionality for modifying program source code at compile time to utilize network services provided by a service provider network. The compilation service can also perform authentication and authorization with the service provider network at compile time, initialize network services in the service provider network for use at compile time, and integrate with the service provider network in other ways at compile time. Program code modified and compiled by the compilation service can be deployed to and executed within the service provider network. The compiled program code can utilize a runtime system that includes one or more runtime managed service clients configured to interact with the network services provided by the service provider network in a memory and network efficient manner.
Abstract:
Aggregation of network traffic source behavior data across network endpoints may be implemented. Indications of endpoint-specific network traffic directed to different network endpoints may be received. Aggregate traffic source behavior data may be generated across multiple aggregation levels. One or more traffic aggregation nodes may be implemented for each aggregation level to maintain different respective portions of the aggregate traffic source behavior data. Different granularity of the aggregate traffic source behavior data may be maintained at each of the aggregation levels. An indication of traffic source behavior for traffic sources may be provided such that responsive actions, such as traffic control actions, may be performed with regard to the traffic sources.