Abstract: A method for identifying devices on a network using a two-step process of first scanning a range network addresses for devices and then acquiring device information from each of the accessible devices. The method involves scanning the network for devices by sending a request to each of a plurality of network addresses, receiving a response from one or more of the devices, obtaining a hardware address for at least some of the responding devices, and identifying the device based on the hardware address. A user interface is provided to display the results of the scan along with the more specific identifying information for some or all of the responding devices.

Abstract: A method for identifying devices on a network using a two-step process of first scanning a range network addresses for devices and then acquiring device information from each of the accessible devices. The method involves scanning the network for devices by sending a request to each of a plurality of network addresses, receiving a response from one or more of the devices, obtaining a hardware address for at least some of the responding devices, and identifying the device based on the hardware address. A user interface is provided to display the results of the scan along with the more specific identifying information for some or all of the responding devices.

Abstract: A computer system for deleting an archived stream. The computer system includes a computer having non-transitory memory for storing machine instructions that are to be executed by the computer. The machine instructions when executed by the computer implement the following functions: receiving a mode of archived stream deletion; receiving a deletion cutoff date and time; and deleting the archived stream based on the mode of archived stream deletion and the deletion cutoff date and time.

Abstract: Dynamic buffering of streaming temporal video is disclosed. In at least one embodiment, a non-transitory memory is provided for storing machine instructions that are to be executed by a computer. The machine instructions may implement the following functions: streaming temporal video having a current incomplete segment and first and second sequential frames, the first sequential frame having a first time value and time index, and the second sequential frame having a second time value and time index; dynamically buffering the current incomplete segment to store data associated thereto and a current incomplete segment buffer; recording the temporal video starting at the second sequential frame; calculating a first adjusted time offset based on the second time value and the first and second time indices; and generating a video segment including the current incomplete segment data and video data from the streaming temporal video based on the first adjusted time offset.

Abstract: A digital video system including one or more video cameras and a video server connected to the one or more video cameras is disclosed. In an illustrative embodiment, the video server includes a computer having a central processing unit (CPU) for executing machine instructions and a memory for storing machine instructions that are to be executed by the CPU. The machine instructions when executed by the CPU implement a number of functions including identifying a failure mode of one or more cameras from one or more failure modes and executing a contingency function from one or more contingency functions based on the identification of the failure mode. The failure mode may be selected from a first, second and third failure mode. The contingency function may be selected from a first and second contingency function.

Abstract: Dynamic buffering of streaming temporal video is disclosed. In at least one embodiment, a non-transitory memory is provided for storing machine instructions that are to be executed by a computer. The machine instructions may implement the following functions: streaming temporal video having a current incomplete segment and first and second sequential frames, the first sequential frame having a first time value and time index, and the second sequential frame having a second time value and time index; dynamically buffering the current incomplete segment to store data associated thereto and a current incomplete segment buffer; recording the temporal video starting at the second sequential frame; calculating a first adjusted time offset based on the second time value and the first and second time indices; and generating a video segment including the current incomplete segment data and video data from the streaming temporal video based on the first adjusted time offset.

Abstract: Dynamic buffering of streaming temporal video is disclosed. In at least one embodiment, a non-transitory memory is provided for storing machine instructions that are to be executed by a computer. The machine instructions may implement the following functions: streaming temporal video having a current incomplete segment, dynamically buffering the current incomplete segment to store data associated thereto and a current incomplete segment buffer, and receiving a first input to obtain a start time marker. A video segment may be generated including the current incomplete segment data and video data from the streaming temporal video occurring after the start time marker. The dynamic buffering may include buffering an I-frame and one or more P-frames. For example, only a most recent I-frame may be buffered and then cleared when a new I-frame is generated. The size of the dynamic buffer may be adjusted based on the size/number of P-frames and/or I-frames.

Abstract: Dynamic buffering of streaming temporal video is disclosed. In at least one embodiment, a non-transitory memory is provided for storing machine instructions that are to be executed by a computer. The machine instructions may implement the following functions: streaming temporal video having a current incomplete segment, dynamically buffering the current incomplete segment to store data associated thereto and a current incomplete segment buffer, and receiving a first input to obtain a start time marker. A video segment may be generated including the current incomplete segment data and video data from the streaming temporal video occurring after the start time marker. The dynamic buffering may include buffering an I-frame and one or more P-frames. For example, only a most recent I-frame may be buffered and then cleared when a new I-frame is generated. The size of the dynamic buffer may be adjusted based on the size/number of P-frames and/or I-frames.

Abstract: In at least one embodiment, a method and a computer system for implementing the method are provided. The method may include streaming temporal video to obtain a streamed temporal video having a current incomplete segment and dynamically buffering the current incomplete segment to store data associated thereto and a current incomplete segment buffer. The method may further include receiving first and second inputs to obtain start and end time markers for a first video segment and continuously recording the streamed temporal video based on receipt of the first input and until receipt of the second input to obtain a raw recorded first video segment. A recorded first video segment may be generated based on the raw recorded first video segment and the current incomplete segment data. The method may be used to generate recordings of discontinuous events from streaming video, for example, individual plays during sporting events.

Abstract: A digital video system including one or more video cameras and a video server connected to the one or more video cameras is disclosed. In an illustrative embodiment, the video server includes a computer having a central processing unit (CPU) for executing machine instructions and a memory for storing machine instructions that are to be executed by the CPU. The machine instructions when executed by the CPU implement a number of functions including identifying a failure mode of one or more cameras from one or more failure modes and executing a contingency function from one or more contingency functions based on the identification of the failure mode. The failure mode may be selected from a first, second and third failure mode. The contingency function may be selected from a first and second contingency function.

Abstract: A digital video system including one or more video cameras and a video server connected to the one or more video cameras is disclosed. In an illustrative embodiment, the video server includes a computer having a central processing unit (CPU) for executing machine instructions and a memory for storing machine instructions that are to be executed by the CPU. The machine instructions when executed by the CPU implement a number of functions including receiving one or more trigger event conditions, receiving data relating to the one or more trigger event conditions, generating a trigger event message based on a comparison of the one or more trigger event conditions and the data relating to the one or more trigger event conditions, and transmitting the trigger event message.

Abstract: In at least one embodiment, a method and a computer system for implementing the method are provided. The method may include streaming temporal video to obtain a streamed temporal video having a current incomplete segment and dynamically buffering the current incomplete segment to store data associated thereto and a current incomplete segment buffer. The method may further include receiving first and second inputs to obtain start and end time markers for a first video segment and continuously recording the streamed temporal video based on receipt of the first input and until receipt of the second input to obtain a raw recorded first video segment. A recorded first video segment may be generated based on the raw recorded first video segment and the current incomplete segment data. The method may be used to generate recordings of discontinuous events from streaming video, for example, individual plays during sporting events.

Abstract: A method for identifying devices on a network using a two-step process of first scanning a range network addresses for devices and then acquiring device information from each of the accessible devices. The method involves scanning the network for devices by sending a request to each of a plurality of network addresses, receiving a response from one or more of the devices, obtaining a hardware address for at least some of the responding devices, and identifying the device based on the hardware address. A user interface is provided to display the results of the scan along with the more specific identifying information for some or all of the responding devices.

Abstract: A method for identifying devices on a network using a two-step process of first scanning a range network addresses for devices and then acquiring device information from each of the accessible devices. The method involves scanning the network for devices by sending a request to each of a plurality of network addresses, receiving a response from one or more of the devices, obtaining a hardware address for at least some of the responding devices, and identifying the device based on the hardware address. A user interface is provided to display the results of the scan along with the more specific identifying information for some or all of the responding devices.

Abstract: A digital video system including one or more video cameras and a video server connected to the one or more video cameras is disclosed. In an illustrative embodiment, the video server includes a computer having a central processing unit (CPU) for executing machine instructions and a memory for storing machine instructions that are to be executed by the CPU. The machine instructions when executed by the CPU implement a number of functions including receiving one or more trigger event conditions, receiving data relating to the one or more trigger event conditions, generating a trigger event message based on a comparison of the one or more trigger event conditions and the data relating to the one or more trigger event conditions, and transmitting the trigger event message.

Abstract: A digital video system including a computer connected via a network to a number of video servers and cameras. The computer includes a program that provides a grid of display windows, each of which displays an image received from the camera associated with that window. The program sequentially polls each camera, accessing and displaying an image from the camera in its associated window. The program can access the cameras at different frame rates. The program stores image streams in a single file, concatenating each successive image onto the end of the file. The file is then indexed using SOI and EOI markers to permit fast access to individual images within the file. The program can monitor received video and automatically start recording upon detecting motion within the video stream. Motion detection is implemented by comparing color component values for pixels from different images.

Abstract: A digital video system including a computer connected via a network to a number of video servers and cameras. The computer includes a program that provides a grid of display windows, each of which displays an image received from the camera associated with that window. The program sequentially polls each camera, accessing and displaying an image from the camera in its associated window. The program can access the cameras at different frame rates. The program stores image streams in a single file, concatenating each successive image onto the end of the file. The file is then indexed using SOI and EOI markers to permit fast access to individual images within the file. The program can monitor received video and automatically start recording upon detecting motion within the video stream. Motion detection is implemented by comparing color component values for pixels from different images.

Abstract: A method for identifying devices on a network using a two-step process of first scanning a range network addresses for devices and then acquiring device information from each of the accessible devices. The method involves scanning the network for devices by sending a request to each of a plurality of network addresses, receiving a response from one or more of the devices, obtaining a hardware address for at least some of the responding devices, and identifying the device based on the hardware address. A user interface is provided to display the results of the scan along with the more specific identifying information for some or all of the responding devices.

Abstract: A digital video system including a computer connected via a network to a number of video servers and cameras. The computer includes a program that provides a grid of display windows, each of which displays an image received from the camera associated with that window. The program sequentially polls each camera, accessing and displaying an image from the camera in its associated window. The program can access the cameras at different frame rates. The program stores image streams in a single file, concatenating each successive image onto the end of the file. The file is then indexed using SOI and EOI markers to permit fast access to individual images within the file. The program can monitor received video and automatically start recording upon detecting motion within the video stream. Motion detection is implemented by comparing color component values for pixels from different images.

Abstract: A digital video system including a computer connected via a network to a number of video servers and cameras. The computer includes a program that provides a grid of display windows, each of which displays an image received from the camera associated with that window. The program sequentially polls each camera, accessing and displaying an image from the camera in its associated window. The program can access the cameras at different frame rates. The program stores image streams in a single file, concatenating each successive image onto the end of the file. The file is then indexed using SOI and EOI markers to permit fast access to individual images within the file. The program can monitor received video and automatically start recording upon detecting motion within the video stream. Motion detection is implemented by comparing color component values for pixels from different images.