Semantic Multimedia Information Anaylsis for Retrieval Applications

Semantic Multimedia Information Anaylsis for Retrieval Applications

J. Magalhaes (Imperial College London, UK) and Stefan Rüger (Imperial College London, UK)
DOI: 10.4018/978-1-59904-953-3.ch061
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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 (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 to extract semantic information from multimedia content. We discuss statistical approaches to analyse images and video content and conclude with a discussion regarding the described methods.

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