Semantic Multimedia

Abstract

Multimedia constitutes an interesting field of application for Semantic Web and Semantic Web reasoning, as the access and management of multimedia content and context depends strongly on the semantic descriptions of both. At the same time, multimedia resources constitute complex objects, the descriptions of which are involved and require the foundation on sound modeling practice in order to represent findings of low-and high level multimedia analysis and to make them accessible via Semantic Web querying of resources. This tutorial aims to provide a red thread through these different issues and to give an outline of where Semantic Web modeling and reasoning needs to further contribute to the area of semantic multimedia for the fruitful interaction between these two fields of computer science.

Model Driven Engineering with Ontology Technologies

“…Such an integration is not only intriguing because of the heterogeneity of the two modelling approaches, but it is now a strict requirement to allow for the development of software with many thousands of ontology classes and multiple dozens of complex software modules in the realms of medical informatics [31], multimedia [32] or engineering applications [33].…”

Using ontologies with UML class-based modeling: The TwoUse approach

“…It is equivalent to an intersection of soccer video, highlight video and jubilation video, i.e., a soccer video with highlight and jubilation. Thus, it becomes much easier to describe the class goal shots detector (9)(10), which is subclass of a kat algorithm and is equivalent to a kat algorithm that defines some annotated data role that is played by some soccer jub hl video. Moreover, OWL allows us to define properties as transitive, simplifying query expressions.…”

“…Such an integration is not only intriguing because of the heterogeneity of the two modeling approaches, but it is now a strict requirement to allow for the development of software with many thousands of ontology classes and multiple dozens of complex software modules in the realms of medical informatics [8], multimedia [9] or engineering applications [10].…”

Human-Machine Cooperation in Large-Scale Multimedia Retrieval: A Survey

“…However, there is the semantic gap, which is the disagreement between features automatically extracted by machines and semantic meanings perceived by humans (Djordjevic, Izquierdo, & Grzegorzek, 2007;Smeulders, Worring, Santini, Gupta, & Jain, 2000;Staab et al, 2008). The semantic gap is attributed to the internal dissimilarity and the external similarity in terms of features.…”