Data Layout and Scheduling Tasks in a Meteorological Cloud Environmen  

作　　者：Kunfu Wang Yongsheng Hao Jie Cao 

机构地区：[1]School of Mathematics and Statistics,Nanjing University of Information Science&Technology,Nanjing,210044,China

出　　处：《Intelligent Automation & Soft Computing》2023年第7期905-920,共16页智能自动化与软计算（英文）

基　　金：funded in part by Major projects of the National Social Science Fund(16ZDA054)of China;the Postgraduate Research&Practice Innovation Program of Jiansu Province(NO.KYCX18_0999)of China;the Engineering Research Center for Software Testing and Evaluation of Fujian Province(ST2018004)of China.

摘　　要：With the proliferation of the internet,big data continues to grow exponentially,and video has become the largest source.Video big data intro-duces many technological challenges,including compression,storage,trans-mission,analysis,and recognition.The increase in the number of multimedia resources has brought an urgent need to develop intelligent methods to organize and process them.The integration between Semantic link Networks and multimedia resources provides a new prospect for organizing them with their semantics.The tags and surrounding texts of multimedia resources are used to measure their semantic association.Two evaluation methods including clustering and retrieval are performed to measure the semantic relatedness between images accurately and robustly.A Fuzzy Rule-Based Model for Semantic Content Extraction is designed which performs classification with fuzzy rules.The features extracted are trained with the neural network where each network contains several layers among them each layer of neurons is dedicated to measuring the weight towards different semantic events.Each neuron measures its weight according to different features like shape,size,direction,speed,and other features.The object is identified by subtracting the background features and trained to detect based on the features like size,shape,and direction.The weight measurement is performed according to the fuzzy rules and based on the weight measures.These frameworks enhance the video analytics feature and help in video surveillance systems with better accuracy and precision.

关 键 词：Video analytics video semantic substance model fuzzy rule image processing 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]