IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Semantic Multimedia Information Anaylsis for Retrieval Applications

Semantic Multimedia Information Anaylsis for Retrieval Applications
View Sample PDF
Author(s): J. Magalhaes (Imperial College London, UK) and Stefan Rüger (Imperial College London, UK)
Copyright: 2008
Pages: 18
Source title: Multimedia Technologies: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Mahbubur Rahman Syed (Minnesota State University Mankato, USA)
DOI: 10.4018/978-1-59904-953-3.ch061

Purchase

View Semantic Multimedia Information Anaylsis for Retrieval Applications on the publisher's website for pricing and purchasing information.

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.

Related Content

Sima Das, Ahona Ghosh, Sriparna Saha. © 2023. 28 pages.
Kannadhasan S., Nagarajan R., Guruprasath R.. © 2023. 10 pages.
Kannadhasan S., Kanagaraj Venusamy, Nagarajan R.. © 2023. 9 pages.
Sujatha K., Karthiga G., Bhavani N. P. G., Kalaivani A., N. Janaki. © 2023. 15 pages.
Jashasmita Pal, Subhalaxmi Das. © 2023. 20 pages.
Sanjana Chelat Menon, Umayal V. R., Gulshan Soni, Aymaan Baig, Amit Kumar Tyagi. © 2023. 13 pages.
Marion Olubunmi Adebiyi, Jesutofunmi Onaope Afolayan, Micheal Olaolu Arowolo, Amit Kumar Tyagi, Ayodele Ariyo Adebiyi. © 2023. 21 pages.
Body Bottom