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Semantic multimedia information analysis for retrieval applications

Magalhães, João and Rüger, Stefan (2009). Semantic multimedia information analysis for retrieval applications. In: Ahmad, Ashraf M. A. and Khalil, Ismail eds. Multimedia Transcoding in Mobile and Wireless Networks. IGI Global, pp. 47–65.

URL: http://www.igi-global.com/bookstore/Chapter.aspx?T...
DOI (Digital Object Identifier) Link: http://dx.doi.org/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.

Item Type: Book Chapter
Copyright Holders: 2009 IGI Global
ISBN: 1-59904-984-8, 978-1-59904-984-7
Academic Unit/Department: Knowledge Media Institute
Item ID: 25876
Depositing User: Kay Dave
Date Deposited: 08 Jan 2011 18:45
Last Modified: 23 Oct 2012 14:38
URI: http://oro.open.ac.uk/id/eprint/25876
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