{"title":"基于快速等强度映射的MPEG编码运动场优化计算方法","authors":"T. Darwish, G. Seetharaman, M. Bayoumi","doi":"10.1109/CAMP.2003.1598173","DOIUrl":null,"url":null,"abstract":"Given a video sequence characterized by correlations in space and time, the objective of motion estimation is to find and accurately represent such correlations. Block matching algorithms are mainly used as the core of the motion estimation unit. Search algorithms include FSBMA, TSSMA, logarithmic etc.. At least 3 isointensity centroids in two frames are required to compute 2-D affine motion. Access to up to 8 isointensity centroids allow for two independent affine motions. Virtual displacement method is used to form linear constraints","PeriodicalId":443821,"journal":{"name":"2003 IEEE International Workshop on Computer Architectures for Machine Perception","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A fast isointensity maps based approach to optimal motion field computation for MPEG coding\",\"authors\":\"T. Darwish, G. Seetharaman, M. Bayoumi\",\"doi\":\"10.1109/CAMP.2003.1598173\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Given a video sequence characterized by correlations in space and time, the objective of motion estimation is to find and accurately represent such correlations. Block matching algorithms are mainly used as the core of the motion estimation unit. Search algorithms include FSBMA, TSSMA, logarithmic etc.. At least 3 isointensity centroids in two frames are required to compute 2-D affine motion. Access to up to 8 isointensity centroids allow for two independent affine motions. Virtual displacement method is used to form linear constraints\",\"PeriodicalId\":443821,\"journal\":{\"name\":\"2003 IEEE International Workshop on Computer Architectures for Machine Perception\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-05-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2003 IEEE International Workshop on Computer Architectures for Machine Perception\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CAMP.2003.1598173\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2003 IEEE International Workshop on Computer Architectures for Machine Perception","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAMP.2003.1598173","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A fast isointensity maps based approach to optimal motion field computation for MPEG coding
Given a video sequence characterized by correlations in space and time, the objective of motion estimation is to find and accurately represent such correlations. Block matching algorithms are mainly used as the core of the motion estimation unit. Search algorithms include FSBMA, TSSMA, logarithmic etc.. At least 3 isointensity centroids in two frames are required to compute 2-D affine motion. Access to up to 8 isointensity centroids allow for two independent affine motions. Virtual displacement method is used to form linear constraints
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