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.
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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