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Semantic modeling and knowledge representation in multimedia databases
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DOI：10.1109/69.755616.png)
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摘要
En 中文
In this paper, we present the current state of the art in semantic data modeling of multimedia data. Semantic conceptualization can be performed at several levels of information granularity, leading to multilevel indexing and searching mechanisms. Various models at different levels of granularity are compared. At the finest level of granularity, multimedia data can be indexed based on image contents, such as identification of objects and faces. At a coarser level of granularity, indexing of multimedia data can be focused on events and episodes, which are higher level abstractions. In light of the above, we also examine modeling and indexing techniques of multimedia documents.
Keyword:
multimedia data modeling
multimedia document modeling
semantic modeling
knowledge representation
content-based retrieval
image databases
video databases
video indexing
query formulation
query processing
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期刊
IF:
10.4
论文数:
6.8K
被引数:
3.2W
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