{"title":"Sport Video Intelligence Analysis Using Mid-Level and Low-Level Vision Information","authors":"Qu Ping, Zheng Wei-tao","doi":"10.1109/ICFCSE.2011.48","DOIUrl":null,"url":null,"abstract":"Because of large audiences, great business prospects and potential applications, sports video has attracted academic and industry attention. From the low-level feature extraction and mid-level key primitive generation, we preliminary success the shot classification, object recognition and tracking.","PeriodicalId":279889,"journal":{"name":"2011 International Conference on Future Computer Science and Education","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Future Computer Science and Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICFCSE.2011.48","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Because of large audiences, great business prospects and potential applications, sports video has attracted academic and industry attention. From the low-level feature extraction and mid-level key primitive generation, we preliminary success the shot classification, object recognition and tracking.