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A multimedia document database model based on multilayered description supporting complex multimedia structural and semantic contents

Authors: Yan Jianfeng; Zhang Yang; Li Zhanhua;

A multimedia document database model based on multilayered description supporting complex multimedia structural and semantic contents

Abstract

Along with the widely used Internet, the research of multimedia data management becomes more and more important. The traditional information retrieval (IR) system that manages the alphanumeric data is changing to the multimedia information retrieval (MIR) system whose purpose is to storage and retrieval multimedia data. As the kernel of the MIR system, multimedia document database must provide a normal and strict data model to present the overall and detailed content information of multimedia data. This kind of presentation does not only contain the content based on the structured features (e.g. spatial relations) but also on the semantic features (e.g. the information "shake hands"). But most of current data models of multimedia document database have some shortage in providing the description of this information in different layers and different granularities. In this paper, we locate the content information of the multimedia documents into several proper layers and define MDU (multimedia document basic unit) to collect this information in different granularities. And then, we discuss the relations among MDUs. Combining the definitions above, we can formalize the presentation of the multimedia documents and multimedia document database. An example is provided to explain how to use this presentation method, and we also compare this method with related works. And, we explain how to query multimedia data on our model.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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