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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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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 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
URI: http://oro.open.ac.uk/id/eprint/22053
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