Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Annotea: an open RDF infrastructure for shared Web annotations
Proceedings of the 10th international conference on World Wide Web
ZYX-A Multimedia Document Model for Reuse and Adaptation of Multimedia Content
IEEE Transactions on Knowledge and Data Engineering
Classification of user image descriptions
International Journal of Human-Computer Studies
Representing digital assets usingMPEG-21 Digital Item Declaration
International Journal on Digital Libraries
Web image indexing by using associated texts
Knowledge and Information Systems
An analysis of failed queries for web image retrieval
Journal of Information Science
COMM: designing a well-founded multimedia ontology for the web
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Multimedia Tools and Applications
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Retrieving multimedia remains a challenge on the Web of the 21st century. This is due, among other things, to the inherent limitations of machine-driven multimedia understanding, limitations which equally hold on the Web 2.0 or on its semantic counterpart. Describing multimedia resources through metadata is thus often seen as the only viable way to enable efficient multimedia retrieval. Assuming the availability of metadata descriptions, effectively indexing multimedia requires mediating among the wide range of metadata formats presently used to annotate or describe these resources. Semantic technologies have been identified as a potential solution for this large-scale interoperability problem. The work presented in this paper builds upon this last statement. We introduce RICO, a conceptual model and a set of ontologies to mark up multimedia content embedded in Web pages and to deploy such multimedia descriptions on the Semantic Web. By using semantic metadata referencing formal ontologies, we not only provide a basis for the uniform description of multimedia resources on the Web, but also enable automatic mediation between metadata standards, and intelligent multimedia retrieval features.