{"title":"使用面向对象数据库的基于黑板的并发对象识别","authors":"A. del Bimbo, P. Nesi","doi":"10.1109/PCCC.1992.200555","DOIUrl":null,"url":null,"abstract":"A blackboard-based framework is presented for concurrent object recognition in the presence of a large model database. A new object model is defined with a knowledge organization with two-object hierarchies. Concurrency has been introduced in order to provide a separate execution thread for each scheduled model. The system performs recognition by comparing graphical entities with models that are stored in an object-oriented database. Results are presented in terms of performance figures on a multiprocessor architecture.<<ETX>>","PeriodicalId":250212,"journal":{"name":"Eleventh Annual International Phoenix Conference on Computers and Communication [1992 Conference Proceedings]","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Blackboard-based concurrent object recognition using an object-oriented database\",\"authors\":\"A. del Bimbo, P. Nesi\",\"doi\":\"10.1109/PCCC.1992.200555\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A blackboard-based framework is presented for concurrent object recognition in the presence of a large model database. A new object model is defined with a knowledge organization with two-object hierarchies. Concurrency has been introduced in order to provide a separate execution thread for each scheduled model. The system performs recognition by comparing graphical entities with models that are stored in an object-oriented database. Results are presented in terms of performance figures on a multiprocessor architecture.<<ETX>>\",\"PeriodicalId\":250212,\"journal\":{\"name\":\"Eleventh Annual International Phoenix Conference on Computers and Communication [1992 Conference Proceedings]\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Eleventh Annual International Phoenix Conference on Computers and Communication [1992 Conference Proceedings]\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PCCC.1992.200555\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Eleventh Annual International Phoenix Conference on Computers and Communication [1992 Conference Proceedings]","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PCCC.1992.200555","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Blackboard-based concurrent object recognition using an object-oriented database
A blackboard-based framework is presented for concurrent object recognition in the presence of a large model database. A new object model is defined with a knowledge organization with two-object hierarchies. Concurrency has been introduced in order to provide a separate execution thread for each scheduled model. The system performs recognition by comparing graphical entities with models that are stored in an object-oriented database. Results are presented in terms of performance figures on a multiprocessor architecture.<>
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