Towards an ontology based framework for searching multimedia contents on the web

Towards an ontology based framework for searching multimedia contents on the web We live in a world where there are huge number of consumers and producers of multimedia content. In this sea of information, finding the right content is like finding a needle in a haystack. Rich annotation of multimedia content during its initial upload on the Web, and further various methodologies for framing search query can be helpful to the user in this regard. In addition to annotation of multimedia content based on the user-provided description, various approaches for annotation and indexing of multimedia files based upon the embedded contents have been presented in the literature. However, annotating multimedia files by using multiple possible sources simultaneously to generate better annotation needs further exploration. We have proposed a framework utilizing these multiple sources of information like text, audio, image, etc. This framework generates annotation based on the contents of user entered description, embedded audio, image analysis, optical character recognition and finally by gathering more information from the Web. This framework provides multiple options to search for content like search by image, audio, video, face and also provides an improved textual search. A system has been implemented based on the proposed framework and the work has also been evaluated. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Multimedia Tools and Applications Springer Journals

Towards an ontology based framework for searching multimedia contents on the web

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Publisher
Springer US
Copyright
Copyright © 2017 by Springer Science+Business Media New York
Subject
Computer Science; Multimedia Information Systems; Computer Communication Networks; Data Structures, Cryptology and Information Theory; Special Purpose and Application-Based Systems
ISSN
1380-7501
eISSN
1573-7721
D.O.I.
10.1007/s11042-017-4350-5
Publisher site
See Article on Publisher Site

Abstract

We live in a world where there are huge number of consumers and producers of multimedia content. In this sea of information, finding the right content is like finding a needle in a haystack. Rich annotation of multimedia content during its initial upload on the Web, and further various methodologies for framing search query can be helpful to the user in this regard. In addition to annotation of multimedia content based on the user-provided description, various approaches for annotation and indexing of multimedia files based upon the embedded contents have been presented in the literature. However, annotating multimedia files by using multiple possible sources simultaneously to generate better annotation needs further exploration. We have proposed a framework utilizing these multiple sources of information like text, audio, image, etc. This framework generates annotation based on the contents of user entered description, embedded audio, image analysis, optical character recognition and finally by gathering more information from the Web. This framework provides multiple options to search for content like search by image, audio, video, face and also provides an improved textual search. A system has been implemented based on the proposed framework and the work has also been evaluated.

Journal

Multimedia Tools and ApplicationsSpringer Journals

Published: Jan 18, 2017

References

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