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Semantic Multimedia Information Analysis for Retrieval Applications

Semantic Multimedia Information Analysis for Retrieval Applications
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Author(s): João Magalhães (Imperial College London, UK)and Stefan Rüger (Imperial College London, UK)
Copyright: 2009
Pages: 19
Source title: Multimedia Transcoding in Mobile and Wireless Networks
Source Author(s)/Editor(s): Ashraf M.A. Ahmad (Princess Sumya University of Technology, Jordan)and Ismail Khalil (Johannes Kepler University Linz, Austria)
DOI: 10.4018/978-1-59904-984-7.ch004

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Abstract

Most of the research in multimedia retrieval applications has focused on retrieval by content or retrieval by example. Since the classical review by Smeulders, Worring, Santini, Gupta, and Jain (2000), a new interest has grown immensely in the multimedia information retrieval community: retrieval by semantics. This exciting new research area arises as a combination of multimedia understanding, information extraction, information retrieval, and digital libraries. This chapter presents a comprehensive review of analysis algorithms in order to extract semantic information from multimedia content. We discuss statistical approaches to analyze images and video content and conclude with a discussion regarding the described methods.

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