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Multimedia retrieval demands better efficience and accuracy to satisfy increasing extensive application. Since multimedia is enormous with various elements and complex features, it will waste storage to manage it with traditional RDBMS. Combined with researches on sparse database, this research explores how to use sparse database to manage multimedia and perform characteristic-based retrieval on it...
The problem of bridging the semantic gap can be approached by dividing all types of metadata extracted from multimedia content into three levels - low, mid and high - according to their levels of semantic abstraction and try to define the mapping between them. This paper proposes a scheme for extracting high-level semantic information out of mid-level features, which can be applied in dealing with...
Producing large amounts of digital media data every day requires fast transmission, efficient storage, flexible manipulation, and reuse of visual content. Since humans tend to use high-level semantic concepts when querying and browsing multimedia databases, there is an increasing need for semantic video indexing and analysis. For this purpose, we proposed a unified framework for semantic extraction...
The paper presents the multimedia component included in TESYS, a medical e-learning platform that is used nowadays at the University of Medicine and Pharmacy Craiova at disciplines like gastroenterology and urology in order to complete the traditional medical learning process. The multimedia component contains a database with color medical images acquired by the teachers from different patients in...
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