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

Scope of Automation in Semantics-Driven Multimedia Information Retrieval From Web

Scope of Automation in Semantics-Driven Multimedia Information Retrieval From Web
View Sample PDF
Author(s): Aarti Singh (Guru Nanak Girls College, Yamuna Nagar, India), Nilanjan Dey (Techno India College of Technology, India) and Amira S. Ashour (Tanta University, Egypt)
Copyright: 2017
Pages: 16
Source title: Web Semantics for Textual and Visual Information Retrieval
Source Author(s)/Editor(s): Aarti Singh (Guru Nanak Girls College, Yamuna Nagar, India), Nilanjan Dey (Techno India College of Technology, India), Amira S. Ashour (Tanta University, Egypt & Taif University, Saudi Arabia) and V. Santhi (VIT University, India)
DOI: 10.4018/978-1-5225-2483-0.ch001

Purchase

View Scope of Automation in Semantics-Driven Multimedia Information Retrieval From Web on the publisher's website for pricing and purchasing information.

Abstract

Present digital information driven society is a part of Semantic Web, where focus is on returning relevant information to the users, in response of their searches. Research community had been doing great efforts to associate semantics with textual information since early 2000. However, there had been tremendous growth in capturing, sharing, storing and retrieving photographs and multimedia contents on the web in last one decade. This has drawn attention of research community for embedding semantics with multimedia contents while storing, so as to lead efficient retrieval of these contents later on. This chapter focuses on presenting need of associating semantics with images, initially various techniques of image retrieval are elaborated. Existing techniques of embedding semantics in images are analyzed, further scope of automation in associating semantics with images is explored considering software agent technology as instrument.

Related Content

M. Govindarajan. © 2022. 23 pages.
Rajab Ssemwogerere, Wamwoyo Faruk, Nambobi Mutwalibi. © 2022. 33 pages.
Surabhi Verma, Ankit Kumar Jain. © 2022. 34 pages.
Kriti Aggarwal, Sunil K. Singh, Muskaan Chopra, Sudhakar Kumar. © 2022. 25 pages.
Praneeth Gunti, Brij B. Gupta, Elhadj Benkhelifa. © 2022. 26 pages.
Yin-Chun Fung, Lap-Kei Lee, Kwok Tai Chui, Gary Hoi-Kit Cheung, Chak-Him Tang, Sze-Man Wong. © 2022. 13 pages.
Lap-Kei Lee, Kwok Tai Chui, Jingjing Wang, Yin-Chun Fung, Zhanhui Tan. © 2022. 16 pages.
Body Bottom