{"title":"一级方程式车载相机拍摄探测器使用运动活动区域","authors":"Arnau Raventos, F. Tarrés","doi":"10.1109/CBMI.2012.6269800","DOIUrl":null,"url":null,"abstract":"Shot detection in sports video sequences has been of great interest in the last years. In this paper, a new approach to detect onboard camera shots in compressed Formula 1 video sequences is presented. To that end, and after studying the characteristics of the shot, a technique based in the thresholding comparison between a high motion area and a stationary one has been devised. Efficient computation is achieved by direct decoding of the motion vectors in the MPEG stream. The shot detection process is done through a frame-by-frame hysteresis thresholding analysis. In order to enhance the results, a SVD shot boundary detector is applied. Promising results are presented that show the validity of the approach.","PeriodicalId":120769,"journal":{"name":"2012 10th International Workshop on Content-Based Multimedia Indexing (CBMI)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Formula 1 onboard camera shot detector using motion activity areas\",\"authors\":\"Arnau Raventos, F. Tarrés\",\"doi\":\"10.1109/CBMI.2012.6269800\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Shot detection in sports video sequences has been of great interest in the last years. In this paper, a new approach to detect onboard camera shots in compressed Formula 1 video sequences is presented. To that end, and after studying the characteristics of the shot, a technique based in the thresholding comparison between a high motion area and a stationary one has been devised. Efficient computation is achieved by direct decoding of the motion vectors in the MPEG stream. The shot detection process is done through a frame-by-frame hysteresis thresholding analysis. In order to enhance the results, a SVD shot boundary detector is applied. Promising results are presented that show the validity of the approach.\",\"PeriodicalId\":120769,\"journal\":{\"name\":\"2012 10th International Workshop on Content-Based Multimedia Indexing (CBMI)\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 10th International Workshop on Content-Based Multimedia Indexing (CBMI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CBMI.2012.6269800\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 10th International Workshop on Content-Based Multimedia Indexing (CBMI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CBMI.2012.6269800","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Formula 1 onboard camera shot detector using motion activity areas
Shot detection in sports video sequences has been of great interest in the last years. In this paper, a new approach to detect onboard camera shots in compressed Formula 1 video sequences is presented. To that end, and after studying the characteristics of the shot, a technique based in the thresholding comparison between a high motion area and a stationary one has been devised. Efficient computation is achieved by direct decoding of the motion vectors in the MPEG stream. The shot detection process is done through a frame-by-frame hysteresis thresholding analysis. In order to enhance the results, a SVD shot boundary detector is applied. Promising results are presented that show the validity of the approach.