Abstract: A distributed video management system for distributed processing and storage of captured video data. The distributed video management system includes a plurality of video cameras that each communicate video data to a respective one of a plurality of camera nodes. Each camera node includes a camera manager for processing video data received at the camera node. The camera nodes are in operative communication with storage resources for storage of the video data in a logical storage volume for the system according to a storage policy. The storage policy may include multiple phases with data pruning for controlled reduction of the size of video data stored on disk. The distributed system may also generate and maintain a ledger or database regarding the captured and stored video data to correlate the video data with system metadata and/or analytical metadata regarding the video data.

Abstract: A distributed video management system for video surveillance that allows for monitoring a camera allocation parameter and dynamic reallocation of video cameras to available camera nodes in response to detecting a change in the allocation parameter. As such, the system may provide for load balancing of the processing of video data from the video cameras with reference to the allocation parameter. The change in allocation parameter may be due to a number of potential contexts, including a change in availability of camera nodes, a change in the nature of the video data captured, a change in computational load, or other change that results in a change in allocation parameter. The allocation parameter may be continually monitored to allocate video cameras to camera nodes in the system for enhanced system performance in view of potentially changing conditions.

Abstract: A distributed video management system that allows for monitoring a camera allocation parameter and dynamic reallocation of video cameras to available camera nodes in response to detecting a change in the allocation parameter including selectively dropping at least one camera from the system based on a priority of the camera. The change in allocation parameter may be due to a number of potential contexts including a change in availability of camera nodes, a change in the nature of the video data captured, a change in computational load, or other change that results in a change in allocation parameter. The disconnection or “dropping” of a camera may be temporary in response to an increase in computational load on the system. The use of priority values of the cameras may allow for sufficient camera coverage to be provided by the system while maintaining processing of video data from higher priority cameras.

Abstract: A distributed video management system for video surveillance that allows for adaptive transport mechanisms and/or real-time transport mechanisms for delivery of data to a client. The adaptive transport mechanism may include processing video data at distributed camera nodes for delivery to a client at least in part based on a characteristic of the request. In certain contexts, a low-latency real-time transport mechanism may be used to deliver video data to the client. In this regard, the real-time transport mechanism may facilitate decoding of the video data at the client using a standard web browser without requiring extensions, plug-ins, or other software to be installed for use with the native functionality of the browser.

Abstract: A distributed video management system for distributed processing and storage of captured video data. The distributed video management system includes a plurality of video cameras that each communicate video data to a respective one of a plurality of camera nodes. Each camera node includes a camera manager for processing video data received at the camera node. The camera nodes are in operative communication with storage resources for storage of the video data in a logical storage volume for the system according to a storage policy. The storage policy may include multiple phases with data pruning for controlled reduction of the size of video data stored on disk. The distributed system may also generate and maintain a ledger or database regarding the captured and stored video data to correlate the video data with system metadata and/or analytical metadata regarding the video data.

Abstract: A distributed video management system that allows for monitoring a camera allocation parameter and dynamic reallocation of video cameras to available camera nodes in response to detecting a change in the allocation parameter including selectively dropping at least one camera from the system based on a priority of the camera. The change in allocation parameter may be due to a number of potential contexts including a change in availability of camera nodes, a change in the nature of the video data captured, a change in computational load, or other change that results in a change in allocation parameter. The disconnection or “dropping” of a camera may be temporary in response to an increase in computational load on the system. The use of priority values of the cameras may allow for sufficient camera coverage to be provided by the system while maintaining processing of video data from higher priority cameras.

Abstract: Video analysis in a distributed video management system in which video data from a given camera is sent to at least two distributed camera nodes for simultaneous processing of video data by the distributed camera nodes. In some examples, the respective camera nodes may execute video analysis modules that each apply a different video analysis module to the video data. Video data may, by default, be provided to a first camera node. In turn, upon detection of a trigger, video data may be provided to a second camera node. The trigger may be periodic or, for example, in response to metadata generated by the first video analysis module of the first camera node. In turn, versatile and robust video analysis may be performed by the distributed video management system.

Abstract: A distributed video management system for video surveillance that allows for monitoring a camera allocation parameter and dynamic reallocation of video cameras to available camera nodes in response to detecting a change in the allocation parameter. As such, the system may provide for load balancing of the processing of video data from the video cameras with reference to the allocation parameter. The change in allocation parameter may be due to a number of potential contexts, including a change in availability of camera nodes, a change in the nature of the video data captured, a change in computational load, or other change that results in a change in allocation parameter. The allocation parameter may be continually monitored to allocate video cameras to camera nodes in the system for enhanced system performance in view of potentially changing conditions.

Abstract: Instruments and systems for the analysis of molecular interactions with enhanced throughput and ease-of-use. In certain aspects, the systems and instruments include miniaturized SPR-based sensors and novel sensor surface chemistry to provide high-throughput automated instruments and systems for molecular interaction analysis.

Abstract: The track follow gain control of an actuator controller is calibrated by injecting a sinusoidal signal into the position error signal during a servo burst interrupt. The injected signal is bandpass filtered to optimize the coherence of the measurement. A sine error signal is derived based on the filtered (sine actual) signal and a sine desired signal. The sine error signal is applied to the track follow gain control to adjust the amplitude of the control signal to the actuator based on the sine error signal. The sine error is derived by averaging the peaks of the filtered injected signal and subtracting the averaged signal from the desired signal which represents the expected error of the sinusoidal signal under ideal conditions. The recording surfaces may be segmented into a plurality of radial zones in which case a central track is identified in one zone on a selected disc surface.