{"title":"图像序列压缩的标志性索引","authors":"T. Arndt, Shi-Kuo Chang","doi":"10.1109/WVL.1989.77061","DOIUrl":null,"url":null,"abstract":"A method that facilitates the rapid retrieval of a given image sequence from a large database is presented. The authors exploit the fact that much of the information stored is redundant. They extend the two-dimensional string methodology to image sequences. This permits queries on the relative positions of objects within video sequences, including changes in position over time.<<ETX>>","PeriodicalId":326582,"journal":{"name":"[Proceedings] 1989 IEEE Workshop on Visual Languages","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"66","resultStr":"{\"title\":\"Image sequence compression by iconic indexing\",\"authors\":\"T. Arndt, Shi-Kuo Chang\",\"doi\":\"10.1109/WVL.1989.77061\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A method that facilitates the rapid retrieval of a given image sequence from a large database is presented. The authors exploit the fact that much of the information stored is redundant. They extend the two-dimensional string methodology to image sequences. This permits queries on the relative positions of objects within video sequences, including changes in position over time.<<ETX>>\",\"PeriodicalId\":326582,\"journal\":{\"name\":\"[Proceedings] 1989 IEEE Workshop on Visual Languages\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-10-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"66\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[Proceedings] 1989 IEEE Workshop on Visual Languages\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WVL.1989.77061\",\"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] 1989 IEEE Workshop on Visual Languages","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WVL.1989.77061","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A method that facilitates the rapid retrieval of a given image sequence from a large database is presented. The authors exploit the fact that much of the information stored is redundant. They extend the two-dimensional string methodology to image sequences. This permits queries on the relative positions of objects within video sequences, including changes in position over time.<>