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

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

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
DOI: 10.4018/978-1-5225-2483-0.ch001

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.
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Image Retrieval Process And Techniques

Image retrieval based on its contents is one of the earliest techniques which got popularity; Query by example is one such technique. However, user studies show that most users are interested in semantic entities rather than in visual appearance (Singhal & Shandilya, 2010). Thus based on interests, image retrieval can be classified in two categories:

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    Content based image retrieval.

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    Context based image retrieval.

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