{"title":"NeoCube","authors":"Nikolaj Mertz, Björn þór Jónsson, Aaron Duane","doi":"10.1145/3552467.3554799","DOIUrl":null,"url":null,"abstract":"In this work, we consider metadata-based exploration of media collections using the M3 data model, to support multimedia analytics applications. We propose a new metadata-server implementation based on the Neo4j graph database system, and compare it to the existing, heavily-optimised server based on a relational database system. We show that the graph-based implementation performs well for interactive metadata-space retrieval, albeit not as well as the optimised relational implementation. The graph-based implementation also allows for very efficient updates to the metadata collection, however, which are practically impossible in the optimised relational implementation.","PeriodicalId":168191,"journal":{"name":"Proceedings of the 2nd International Workshop on Interactive Multimedia Retrieval","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"NeoCube\",\"authors\":\"Nikolaj Mertz, Björn þór Jónsson, Aaron Duane\",\"doi\":\"10.1145/3552467.3554799\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work, we consider metadata-based exploration of media collections using the M3 data model, to support multimedia analytics applications. We propose a new metadata-server implementation based on the Neo4j graph database system, and compare it to the existing, heavily-optimised server based on a relational database system. We show that the graph-based implementation performs well for interactive metadata-space retrieval, albeit not as well as the optimised relational implementation. The graph-based implementation also allows for very efficient updates to the metadata collection, however, which are practically impossible in the optimised relational implementation.\",\"PeriodicalId\":168191,\"journal\":{\"name\":\"Proceedings of the 2nd International Workshop on Interactive Multimedia Retrieval\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2nd International Workshop on Interactive Multimedia Retrieval\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3552467.3554799\",\"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 2nd International Workshop on Interactive Multimedia Retrieval","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3552467.3554799","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this work, we consider metadata-based exploration of media collections using the M3 data model, to support multimedia analytics applications. We propose a new metadata-server implementation based on the Neo4j graph database system, and compare it to the existing, heavily-optimised server based on a relational database system. We show that the graph-based implementation performs well for interactive metadata-space retrieval, albeit not as well as the optimised relational implementation. The graph-based implementation also allows for very efficient updates to the metadata collection, however, which are practically impossible in the optimised relational implementation.