{"title":"基于中低层次视觉信息的运动视频情报分析","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":"{\"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}","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}
Sport Video Intelligence Analysis Using Mid-Level and Low-Level Vision Information
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.
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