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2004
ACM

Semantic representation: search and mining of multimedia content

9 years 9 months ago
Semantic representation: search and mining of multimedia content
Semantic understanding of multimedia content is critical in enabling effective access to all forms of digital media data. By making large media repositories searchable, semantic content descriptions greatly enhance the value of such data. Automatic semantic understanding is a very challenging problem and most media databases resort to describing content in terms of low-level features or using manually ascribed annotations. Recent techniques focus on detecting semantic concepts in video, such as indoor, outdoor, face, people, nature, etc. This approach works for a fixed lexicon for which annotated training examples exist. In this paper we consider the problem of using such semantic concept detection to map the video clips into semantic spaces. This is done by constructing a model vector that acts as a compact semantic representation of the underlying content. We then present experiments in the semantic spaces leveraging such information for enhanced semantic retrieval, classificatio...
Apostol Natsev, Milind R. Naphade, John R. Smith
Added 02 Jul 2010
Updated 02 Jul 2010
Type Conference
Year 2004
Where KDD
Authors Apostol Natsev, Milind R. Naphade, John R. Smith
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