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MM-FOOD: a high-dimensional index structure for efficiently querying content and concept of multimedia data

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dc.contributor.author Arslan, Serdar
dc.contributor.author Yazıcı, Adnan
dc.date.accessioned 2024-01-03T13:28:25Z
dc.date.available 2024-01-03T13:28:25Z
dc.date.issued 2023
dc.identifier.citation Arslan,S.; Yazıcı, A. (2023). "MM-FOOD: a high-dimensional index structure for efficiently querying content and concept of multimedia data", Journal of Intelligent and Fuzzy Systems, Vol.44, No.1, pp.251-282. tr_TR
dc.identifier.issn 10641246
dc.identifier.uri http://hdl.handle.net/20.500.12416/6850
dc.description.abstract The semantic query problem is commonly called the semantic gap and is one of the significant problems in multimedia data retrieval. In this study, we focus on multimedia data retrieval by combining semantic information with data content to solve the semantic gap problem effectively. The main idea behind the combination of low-level content descriptors and the concept of multimedia data is to represent the content information with the semantic information by adding a low-level content descriptor as a new dimension to the index structure. This new dimension is represented by constructing an array index structure that uses a fuzzy clustering algorithm. Thus, a new high-dimensional index structure, named MM-FOOD, supporting querying of multimedia data, including fuzzy querying, is presented in this paper. This proposed index structure's construction and query algorithms are explained throughout this paper. Our experiments show that our indexing mechanism is considerably efficient compared to the basic indexing approach, which stores low-level content and semantic concept descriptors in separate structures when the data size is large. tr_TR
dc.language.iso eng tr_TR
dc.relation.isversionof 10.3233/JIFS-220673 tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject Fuzzy Querying tr_TR
dc.subject High-Dimensional Indexing tr_TR
dc.subject Multidimensional Scaling tr_TR
dc.subject Multimedia Data Retrieval tr_TR
dc.title MM-FOOD: a high-dimensional index structure for efficiently querying content and concept of multimedia data tr_TR
dc.type article tr_TR
dc.relation.journal Journal of Intelligent and Fuzzy Systems tr_TR
dc.contributor.authorID 325411 tr_TR
dc.identifier.volume 44 tr_TR
dc.identifier.issue 1 tr_TR
dc.identifier.startpage 251 tr_TR
dc.identifier.endpage 282 tr_TR
dc.contributor.department Çankaya Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü tr_TR


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