{"title":"基于地址自由像素流的GMM前景分割处理器","authors":"R. Yagi, Tomohito Kajimoto, T. Nishitani","doi":"10.1109/ICASSP.2012.6288213","DOIUrl":null,"url":null,"abstract":"A compact implementation of a foreground segmentation processor in a multi-resolution transform domain has been proposed for HDTV signals. The proposed architecture is designed to simplify system controls by the hardware streaming and to reduce required memory capacities. It enables flowing pixels through all functional units in order, including multi-resolution spatial transform and temporal segmentation. The resultant architecture does not use memories except I/O buffers. Therefore, memory modules as well as complex address manipulation over the multiple global transforms and spatial/temporal interface is not required. The FPGA prototype chip dissipates 150 mW of power. This approach can be used for tablets and smart-phone by an ASIC implementation which will reduce the operation power to about 1/6.","PeriodicalId":6443,"journal":{"name":"2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"GMM foreground segmentation processor based on address free pixel streams\",\"authors\":\"R. Yagi, Tomohito Kajimoto, T. Nishitani\",\"doi\":\"10.1109/ICASSP.2012.6288213\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A compact implementation of a foreground segmentation processor in a multi-resolution transform domain has been proposed for HDTV signals. The proposed architecture is designed to simplify system controls by the hardware streaming and to reduce required memory capacities. It enables flowing pixels through all functional units in order, including multi-resolution spatial transform and temporal segmentation. The resultant architecture does not use memories except I/O buffers. Therefore, memory modules as well as complex address manipulation over the multiple global transforms and spatial/temporal interface is not required. The FPGA prototype chip dissipates 150 mW of power. This approach can be used for tablets and smart-phone by an ASIC implementation which will reduce the operation power to about 1/6.\",\"PeriodicalId\":6443,\"journal\":{\"name\":\"2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-03-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICASSP.2012.6288213\",\"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 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASSP.2012.6288213","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
GMM foreground segmentation processor based on address free pixel streams
A compact implementation of a foreground segmentation processor in a multi-resolution transform domain has been proposed for HDTV signals. The proposed architecture is designed to simplify system controls by the hardware streaming and to reduce required memory capacities. It enables flowing pixels through all functional units in order, including multi-resolution spatial transform and temporal segmentation. The resultant architecture does not use memories except I/O buffers. Therefore, memory modules as well as complex address manipulation over the multiple global transforms and spatial/temporal interface is not required. The FPGA prototype chip dissipates 150 mW of power. This approach can be used for tablets and smart-phone by an ASIC implementation which will reduce the operation power to about 1/6.