Abstract: A method and a system for generating adaptive fast forward of egocentric videos are provided here. The method may include the following steps: obtaining a video footage containing a sequence of image frames captured by a non-stationary capturing device; estimating a moving direction of the non-stationary capturing device for a plurality of frames in the sequence of image frames; and generating a shortened video footage having fewer frames than said video footage, by sampling the sequence of image frames, wherein the sampling is carried out by selecting specific image frames and that minimize an overall cost associated with a deviation from a specific direction related to the moving direction, calculated for each of said plurality of image frames.

Abstract: A method and a system for generating adaptive fast forward of egocentric videos are provided here. The method may include the following steps: obtaining a video footage containing a sequence of image frames captured by a non-stationary capturing device; estimating a moving direction of the non-stationary capturing device for a plurality of frames in the sequence of image frames; and generating a shortened video footage having fewer frames than said video footage, by sampling the sequence of image frames, wherein the sampling is carried out by selecting specific image frames and that minimize an overall cost associated with a deviation from a specific direction related to the moving direction, calculated for each of said plurality of image frames.

Abstract: Provided herein a system and a method that may include the following steps: receiving data from one or more sensors configured to measure one or more predefined metrics of an infrastructure; establishing a wireless channel with a wireless network; obtaining time-varying characteristics of the wireless network; and determining a series of transmission time slots for transmitting the data received from the sensor, based on the time-varying characteristics, for reducing overall power consumption of the data transmission.

Abstract: A method and a system for generating adaptive fast forward of egocentric videos are provided here. The method may include the following steps: obtaining a video footage containing a sequence of image frames captured by a non-stationary capturing device; estimating a moving direction of the non-stationary capturing device for a plurality of frames in the sequence of image frames; and generating a shortened video footage having fewer frames than said video footage, by sampling the sequence of image frames, wherein the sampling is carried out by selecting specific image frames and that minimize an overall cost associated with a deviation from a specific direction related to the moving direction, calculated for each of said plurality of image frames.

Abstract: A method and a system for generating adaptive fast forward of egocentric videos are provided here. The method may include the following steps: obtaining a video footage containing a sequence of image frames captured by a non-stationary capturing device; estimating a moving direction of the non-stationary capturing device for a plurality of frames in the sequence of image frames; and generating a shortened video footage having fewer frames than said video footage, by sampling the sequence of image frames, wherein the sampling is carried out by selecting specific image frames and that minimize an overall cost associated with a deviation from a specific direction related to the moving direction, calculated for each of said plurality of image frames.

Abstract: A method and a system for determining sampling schemes of a network-connected measurement unit based on time-varying predictability of the measured signals are provided herein. The method may include the following steps: sampling, via a sensor, a metric indicative of a physical property of an infrastructure system, wherein the sampling is carried out over a training period, at an original sampling scheme; determining, based on the training period, in which future time ranges, whether said metric is predictable within a predefined threshold; and adjusting the original sampling scheme, so that the more said metric is predictable in a future time range, the less said future time range is sampled, to yield an updated sampling scheme.

Abstract: A method and a system for determining a transmit schemes of a network-connected measurement unit based on wireless network time-varying characteristic are provided herein. The method may include the following steps: receiving data from at least one sensor configured to measure at least one predefined metric of an infrastructure; establishing a wireless channel with a wireless network; obtaining time-varying characteristics of said wireless network; and determining a series of transmission time slots for transmitting said data received from said sensor, based on said time-varying characteristics, for reducing overall power consumption of the data transmission.

Abstract: A method and a system for identifying a network-connected sensor device based on electrical fingerprint. The method may include the following steps: applying, at specified time slots, a set of electrical measurements to a sensor being connected to a network of sensors, to yield a set of electrical parameters; deriving data measured by the sensor at said time slots; representing, for at least some of the time slots, the set of electrical parameters and the corresponding data measured by the sensor, as a vector in a single samples space; and applying machine learning techniques to the vectors in the samples space, to derive a sensor-specific fingerprint of the sensor.

Abstract: A method and a system for determining sampling schemes of a network-connected measurement unit based on time-varying predictability of the measured signals are provided herein. The method may include the following steps: sampling, via a sensor, a metric indicative of a physical property of an infrastructure system, wherein the sampling is carried out over a training period, at an original sampling scheme; determining, based on the training period, in which future time ranges, whether said metric is predictable within a predefined threshold; and adjusting the original sampling scheme, so that the more said metric is predictable in a future time range, the less said future time range is sampled, to yield an updated sampling scheme. In another embodiment, the prediction of the signal may be used to postpone the transmitting of measurements by the local sensor devices whenever the new measurements do not exceed a predefined threshold beyond the predicted values.

Abstract: A method and a system for generating adaptive fast forward of egocentric videos are provided here. The method may include the following steps: obtaining a video footage containing a sequence of image frames captured by a non-stationary capturing device; estimating a moving direction of the non-stationary capturing device for a plurality of frames in the sequence of image frames; and generating a shortened video footage having fewer frames than said video footage, by sampling the sequence of image frames, wherein the sampling is carried out by selecting specific image frames and that minimize an overall cost associated with a deviation from a specific direction related to the moving direction, calculated for each of said plurality of image frames.