RECTANGLING IRREGULAR VIDEOS BY OPTIMAL SPATIO-TEMPORAL WARPING

Rectangling irregular videos by optimal spatio-temporal warping

Abstract Image and video processing based on geometric principles typically changes the rectangular shape of video frames to an irregular shape.This paper presents a warping based approach for rectangling such irregular frame boundaries in space and time, i.e., garmin 67 making them rectangular again.To reduce geometric distortion in the rectanglin

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Security breach prediction using Artificial Neural Networks

These days, there are many sophisticated and swiftly moving cyberthreats.Artificial Neural Networks (ANN) are used to introduce machine learning models that boost security and add new levels of protection for data storage in the event of a oljelampe breach.The algorithm has been trained with specific attributes, including biometrics, to help it and

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Evaluating soil water content data monitored at different locations in a vineyard with regard to irrigation control

Knowledge on the water content of a certain soil profile and its temporal changes due to rainfall and plant water uptake is a key issue for irrigation management.In this regard, sensors can be utilized to monitor soil water content (SWC).Due to the characteristic spatial variability of SWC, a key question is whether the measurements are representat

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