{"title":"运动视频的摘要与关键提取算法","authors":"G. Caccia, R. Lancini, S. Russo","doi":"10.1109/MMSP.2002.1203288","DOIUrl":null,"url":null,"abstract":"In this paper, we present an effective framework for features extraction from an athletic sport sequence. The extracted features are the start and finish of the race and the type of competition. Our approach is based on camera movement detection and it process MPEG-2 video sequences.","PeriodicalId":398813,"journal":{"name":"2002 IEEE Workshop on Multimedia Signal Processing.","volume":"174 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Algorithm for summarization and key extraction in athletic video\",\"authors\":\"G. Caccia, R. Lancini, S. Russo\",\"doi\":\"10.1109/MMSP.2002.1203288\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present an effective framework for features extraction from an athletic sport sequence. The extracted features are the start and finish of the race and the type of competition. Our approach is based on camera movement detection and it process MPEG-2 video sequences.\",\"PeriodicalId\":398813,\"journal\":{\"name\":\"2002 IEEE Workshop on Multimedia Signal Processing.\",\"volume\":\"174 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-12-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2002 IEEE Workshop on Multimedia Signal Processing.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MMSP.2002.1203288\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2002 IEEE Workshop on Multimedia Signal Processing.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMSP.2002.1203288","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Algorithm for summarization and key extraction in athletic video
In this paper, we present an effective framework for features extraction from an athletic sport sequence. The extracted features are the start and finish of the race and the type of competition. Our approach is based on camera movement detection and it process MPEG-2 video sequences.