{"title":"实时视频防抖中的复合方法","authors":"Serhat Bayrak, ilkay Ulusoy","doi":"10.1109/SIU.2009.5136371","DOIUrl":null,"url":null,"abstract":"Since digital video stabilization completely performs over the images, it requires exhaustive processing power. Therefore, it is less preferred for real-time applications. Global (background) motion estimation in floating video is the most time consuming part of digital video stabilization. In this work, the load of digital motion estimation is reduced by using mechanical motion sensors, thus, it is shown that digital video stabilization can be used for real-time applications.","PeriodicalId":219938,"journal":{"name":"2009 IEEE 17th Signal Processing and Communications Applications Conference","volume":"99 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Composite method in real time video stabilization\",\"authors\":\"Serhat Bayrak, ilkay Ulusoy\",\"doi\":\"10.1109/SIU.2009.5136371\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Since digital video stabilization completely performs over the images, it requires exhaustive processing power. Therefore, it is less preferred for real-time applications. Global (background) motion estimation in floating video is the most time consuming part of digital video stabilization. In this work, the load of digital motion estimation is reduced by using mechanical motion sensors, thus, it is shown that digital video stabilization can be used for real-time applications.\",\"PeriodicalId\":219938,\"journal\":{\"name\":\"2009 IEEE 17th Signal Processing and Communications Applications Conference\",\"volume\":\"99 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-04-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE 17th Signal Processing and Communications Applications Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIU.2009.5136371\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE 17th Signal Processing and Communications Applications Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIU.2009.5136371","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Since digital video stabilization completely performs over the images, it requires exhaustive processing power. Therefore, it is less preferred for real-time applications. Global (background) motion estimation in floating video is the most time consuming part of digital video stabilization. In this work, the load of digital motion estimation is reduced by using mechanical motion sensors, thus, it is shown that digital video stabilization can be used for real-time applications.
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