{"title":"一种统一的运动JPEG和MPEG压缩视频的时间分割方法","authors":"B. Yeo, Bede Liu","doi":"10.1109/MMCS.1995.484911","DOIUrl":null,"url":null,"abstract":"A common framework for rapid scene analysis for detecting scene changes in compressed motion JPEG and MPEG videos is proposed. We develop algorithms to detect both abrupt and gradual scene changes. The algorithms operate directly on the DC sequence which can be easily extracted from motion JPEG and MPEG compressed video without decompression. The DC images capture most of the essential \"global\" information, but is of a small fraction of the original data size. Operating on these images offers significant computation savings. Experimental results show that the proposed algorithms are fast and effective in detecting abrupt scene changes and gradual transitions.","PeriodicalId":423754,"journal":{"name":"Proceedings of the International Conference on Multimedia Computing and Systems","volume":"166 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"110","resultStr":"{\"title\":\"A unified approach to temporal segmentation of motion JPEG and MPEG compressed video\",\"authors\":\"B. Yeo, Bede Liu\",\"doi\":\"10.1109/MMCS.1995.484911\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A common framework for rapid scene analysis for detecting scene changes in compressed motion JPEG and MPEG videos is proposed. We develop algorithms to detect both abrupt and gradual scene changes. The algorithms operate directly on the DC sequence which can be easily extracted from motion JPEG and MPEG compressed video without decompression. The DC images capture most of the essential \\\"global\\\" information, but is of a small fraction of the original data size. Operating on these images offers significant computation savings. Experimental results show that the proposed algorithms are fast and effective in detecting abrupt scene changes and gradual transitions.\",\"PeriodicalId\":423754,\"journal\":{\"name\":\"Proceedings of the International Conference on Multimedia Computing and Systems\",\"volume\":\"166 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-05-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"110\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the International Conference on Multimedia Computing and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MMCS.1995.484911\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the International Conference on Multimedia Computing and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMCS.1995.484911","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A unified approach to temporal segmentation of motion JPEG and MPEG compressed video
A common framework for rapid scene analysis for detecting scene changes in compressed motion JPEG and MPEG videos is proposed. We develop algorithms to detect both abrupt and gradual scene changes. The algorithms operate directly on the DC sequence which can be easily extracted from motion JPEG and MPEG compressed video without decompression. The DC images capture most of the essential "global" information, but is of a small fraction of the original data size. Operating on these images offers significant computation savings. Experimental results show that the proposed algorithms are fast and effective in detecting abrupt scene changes and gradual transitions.