{"title":"Ontology Based Multimedia Indexing","authors":"Mihaela Brut, F. Sèdes","doi":"10.4018/978-1-61520-859-3.CH013","DOIUrl":null,"url":null,"abstract":"The multimedia indexing and management is a very important issue in the actual context where various domains such as news gathering, TV, banks of resources for commercial or consumer applications, collaborative work, video surveillance are flooded by a huge amount of multimedia sources. The traditional multimedia indexation techniques are focused on the effective multimedia content processing, being mainly in charge with low-level multimedia features analysis. They could capture some information about the content description (such as shapes or faces recognition), but not in terms of high-level concepts (such as ontology or vocabulary concepts). The chapter is focused on possible solutions for the problem of bridging the “semantic gap” between low-level multimedia AbsTRACT","PeriodicalId":169003,"journal":{"name":"Ontology Theory, Management and Design","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ontology Theory, Management and Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/978-1-61520-859-3.CH013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The multimedia indexing and management is a very important issue in the actual context where various domains such as news gathering, TV, banks of resources for commercial or consumer applications, collaborative work, video surveillance are flooded by a huge amount of multimedia sources. The traditional multimedia indexation techniques are focused on the effective multimedia content processing, being mainly in charge with low-level multimedia features analysis. They could capture some information about the content description (such as shapes or faces recognition), but not in terms of high-level concepts (such as ontology or vocabulary concepts). The chapter is focused on possible solutions for the problem of bridging the “semantic gap” between low-level multimedia AbsTRACT