Walid G. Aref, A. Catlin, A. Elmagarmid, Jianping Fan, J. Guo, M. Hammad, I. Ilyas, M. Marzouk, Sunil Prabhakar, A. Rezgui, S. Teoh, Evimaria Terzi, Yi-Cheng Tu, A. Vakali, Xingquan Zhu
{"title":"A distributed database server for continuous media","authors":"Walid G. Aref, A. Catlin, A. Elmagarmid, Jianping Fan, J. Guo, M. Hammad, I. Ilyas, M. Marzouk, Sunil Prabhakar, A. Rezgui, S. Teoh, Evimaria Terzi, Yi-Cheng Tu, A. Vakali, Xingquan Zhu","doi":"10.1109/ICDE.2002.994764","DOIUrl":null,"url":null,"abstract":"In our project, we are adopting a new approach for handling video data. We view the video as a well-defined data type with its own description, parameters and applicable methods. The system is based on PREDATOR, an open-source object-relational DBMS. PREDATOR uses Shore as the underlying storage manager. Supporting video operations (storing, searching-by-content and streaming) and new query types (query-by-example and multi-feature similarity searching) requires major changes in many of the traditional system components. More specifically, the storage and buffer manager has to deal with huge volumes of data with real-time constraints. Query processing has to consider the video methods and operators in generating, optimizing and executing the query plans.","PeriodicalId":191529,"journal":{"name":"Proceedings 18th International Conference on Data Engineering","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 18th International Conference on Data Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDE.2002.994764","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14
Abstract
In our project, we are adopting a new approach for handling video data. We view the video as a well-defined data type with its own description, parameters and applicable methods. The system is based on PREDATOR, an open-source object-relational DBMS. PREDATOR uses Shore as the underlying storage manager. Supporting video operations (storing, searching-by-content and streaming) and new query types (query-by-example and multi-feature similarity searching) requires major changes in many of the traditional system components. More specifically, the storage and buffer manager has to deal with huge volumes of data with real-time constraints. Query processing has to consider the video methods and operators in generating, optimizing and executing the query plans.