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Semantic multimedia information analysis for retrieval applications

Magalhaes, Joao and Rüger, Stefan (2007). Semantic multimedia information analysis for retrieval applications. In: Zhang, Yu-Jin ed. Semantic-Based Visual Information Retrieval. Hershey: IRM Press.

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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 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.

Item Type: Book Chapter
ISBN: 1-59904-372-6, 978-1-59904-372-2
Keywords: semantic-multimedia analysis; semantic annotation; statistical models; review
Academic Unit/Department: Knowledge Media Institute
Item ID: 22053
Depositing User: Stefan Rüger
Date Deposited: 14 Jul 2010 10:04
Last Modified: 22 Oct 2012 10:49
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