J. Nesvadba, P. Fonseca, A. Sinitsyn, F. D. Lange, Martijn Thijssen, P. Kaam, Hong Liu, Rien van Leeuwen, J. Lukkien, A. Korostelev, Jan Ypma, B. Kroon, H. Celik, A. Hanjalic, S. U. Naci, J. Benois-Pineau, P. D. With, Jungong Han
{"title":"面向消费电子网络的实时分布式AV内容分析系统","authors":"J. Nesvadba, P. Fonseca, A. Sinitsyn, F. D. Lange, Martijn Thijssen, P. Kaam, Hong Liu, Rien van Leeuwen, J. Lukkien, A. Korostelev, Jan Ypma, B. Kroon, H. Celik, A. Hanjalic, S. U. Naci, J. Benois-Pineau, P. D. With, Jungong Han","doi":"10.1109/ICME.2005.1521729","DOIUrl":null,"url":null,"abstract":"The ever-increasing complexity of generic multimedia-content-analysis-based (MCA) solutions, their processing power demanding nature and the need to prototype and assess solutions in a fast and cost-saving manner motivated the development of the Cassandra framework. The combination of state-of-the-art network and grid-computing solutions and recently standardized interfaces facilitated the set-up of this framework, forming the basis for multiple cross-domain and cross-organizational collaborations. It enables distributed computing scenario simulations for e.g. distributed content analysis (DCA) across consumer electronics (CE) in-home networks, but also the rapid development and assessment of complex multi-MCA-algorithm-based applications and system solutions. Furthermore, the framework's modular nature-logical MCA units are wrapped into so-called service units (SU)-ease the split between system-architecture- and algorithmic-related work and additionally facilitate reusability, extensibility and upgrade ability of those SUs","PeriodicalId":244360,"journal":{"name":"2005 IEEE International Conference on Multimedia and Expo","volume":"165 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"Real-Time and Distributed AV Content Analysis System for Consumer Electronics Networks\",\"authors\":\"J. Nesvadba, P. Fonseca, A. Sinitsyn, F. D. Lange, Martijn Thijssen, P. Kaam, Hong Liu, Rien van Leeuwen, J. Lukkien, A. Korostelev, Jan Ypma, B. Kroon, H. Celik, A. Hanjalic, S. U. Naci, J. Benois-Pineau, P. D. With, Jungong Han\",\"doi\":\"10.1109/ICME.2005.1521729\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The ever-increasing complexity of generic multimedia-content-analysis-based (MCA) solutions, their processing power demanding nature and the need to prototype and assess solutions in a fast and cost-saving manner motivated the development of the Cassandra framework. The combination of state-of-the-art network and grid-computing solutions and recently standardized interfaces facilitated the set-up of this framework, forming the basis for multiple cross-domain and cross-organizational collaborations. It enables distributed computing scenario simulations for e.g. distributed content analysis (DCA) across consumer electronics (CE) in-home networks, but also the rapid development and assessment of complex multi-MCA-algorithm-based applications and system solutions. Furthermore, the framework's modular nature-logical MCA units are wrapped into so-called service units (SU)-ease the split between system-architecture- and algorithmic-related work and additionally facilitate reusability, extensibility and upgrade ability of those SUs\",\"PeriodicalId\":244360,\"journal\":{\"name\":\"2005 IEEE International Conference on Multimedia and Expo\",\"volume\":\"165 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-07-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2005 IEEE International Conference on Multimedia and Expo\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICME.2005.1521729\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 IEEE International Conference on Multimedia and Expo","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICME.2005.1521729","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Real-Time and Distributed AV Content Analysis System for Consumer Electronics Networks
The ever-increasing complexity of generic multimedia-content-analysis-based (MCA) solutions, their processing power demanding nature and the need to prototype and assess solutions in a fast and cost-saving manner motivated the development of the Cassandra framework. The combination of state-of-the-art network and grid-computing solutions and recently standardized interfaces facilitated the set-up of this framework, forming the basis for multiple cross-domain and cross-organizational collaborations. It enables distributed computing scenario simulations for e.g. distributed content analysis (DCA) across consumer electronics (CE) in-home networks, but also the rapid development and assessment of complex multi-MCA-algorithm-based applications and system solutions. Furthermore, the framework's modular nature-logical MCA units are wrapped into so-called service units (SU)-ease the split between system-architecture- and algorithmic-related work and additionally facilitate reusability, extensibility and upgrade ability of those SUs