Z. Al-Ars, T. Basten, A. D. Beer, M. Geilen, Dip Goswami, P. Jääskeläinen, J. Kadlec, M. Alejandro, F. Palumbo, G. Peeren, L. Pomante, F. V. Linden, Jukka Saarinen, T. Säntti, Carlo Sau, M. Zedda
{"title":"FitOptiVis ECSEL项目:网络物理系统中高效的分布式嵌入式图像/视频处理","authors":"Z. Al-Ars, T. Basten, A. D. Beer, M. Geilen, Dip Goswami, P. Jääskeläinen, J. Kadlec, M. Alejandro, F. Palumbo, G. Peeren, L. Pomante, F. V. Linden, Jukka Saarinen, T. Säntti, Carlo Sau, M. Zedda","doi":"10.1145/3310273.3323437","DOIUrl":null,"url":null,"abstract":"Cyber-Physical Systems (CPS) are systems that are in feedback with their environment, possibly with humans in the loop. They are often distributed with sensors and actuators, smart, adaptive and predictive and react in real-time. Image- and video-processing pipelines are a prime source for environmental information improving the possibilities of active, relevant feedback. In such a context, FitOptiVis aims to provide end-to-end multi-objective optimization for imaging and video pipelines of CPS, with emphasis on energy and performance, leveraging on a reference architecture, supported by low-power, high-performance, smart devices, and by methods and tools for combined design-time and run-time multi-objective optimization within system and environment constraints.","PeriodicalId":431860,"journal":{"name":"Proceedings of the 16th ACM International Conference on Computing Frontiers","volume":"164 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"31","resultStr":"{\"title\":\"The FitOptiVis ECSEL project: highly efficient distributed embedded image/video processing in cyber-physical systems\",\"authors\":\"Z. Al-Ars, T. Basten, A. D. Beer, M. Geilen, Dip Goswami, P. Jääskeläinen, J. Kadlec, M. Alejandro, F. Palumbo, G. Peeren, L. Pomante, F. V. Linden, Jukka Saarinen, T. Säntti, Carlo Sau, M. Zedda\",\"doi\":\"10.1145/3310273.3323437\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cyber-Physical Systems (CPS) are systems that are in feedback with their environment, possibly with humans in the loop. They are often distributed with sensors and actuators, smart, adaptive and predictive and react in real-time. Image- and video-processing pipelines are a prime source for environmental information improving the possibilities of active, relevant feedback. In such a context, FitOptiVis aims to provide end-to-end multi-objective optimization for imaging and video pipelines of CPS, with emphasis on energy and performance, leveraging on a reference architecture, supported by low-power, high-performance, smart devices, and by methods and tools for combined design-time and run-time multi-objective optimization within system and environment constraints.\",\"PeriodicalId\":431860,\"journal\":{\"name\":\"Proceedings of the 16th ACM International Conference on Computing Frontiers\",\"volume\":\"164 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-04-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"31\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 16th ACM International Conference on Computing Frontiers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3310273.3323437\",\"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 16th ACM International Conference on Computing Frontiers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3310273.3323437","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The FitOptiVis ECSEL project: highly efficient distributed embedded image/video processing in cyber-physical systems
Cyber-Physical Systems (CPS) are systems that are in feedback with their environment, possibly with humans in the loop. They are often distributed with sensors and actuators, smart, adaptive and predictive and react in real-time. Image- and video-processing pipelines are a prime source for environmental information improving the possibilities of active, relevant feedback. In such a context, FitOptiVis aims to provide end-to-end multi-objective optimization for imaging and video pipelines of CPS, with emphasis on energy and performance, leveraging on a reference architecture, supported by low-power, high-performance, smart devices, and by methods and tools for combined design-time and run-time multi-objective optimization within system and environment constraints.
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