An Ontological approach towards retrieval of video semantically

  • Mr. Uday Kulkarni
  • Mr. Mallikarjun Akki
  • Mr. Praveen M D
  • Mr. Anand S Meti
  • Mr. Somashekhar Patil
  • Sunil V G
Keywords: Multimedia, Ontology, Text Retrieval, Image Retrieval, Video Retrieval, Semantic-based search

Abstract

Recent era there is an increase in the use of videobased applications which revealed the need for extracting the content in videos and how semantically they are interrelated. In this paper we propose a semantic content extraction system that allows users to query and retrieve objects, events, and concepts that are extracted automatically by building the ontology with respect to events and related interest. This paper discusses retrieval techniques of multimedia content using ontology semantically.

References

 [1] YakupYildirim, Adnan Yazici, Senior Member, IEEE, and TurgayYilmaz “Automatic Semantic Content Extraction in Videos Using a Fuzzy Ontology and RuleBased Model “,IEEE Transactions on Knowledge and data engineering Vol1 Jan 2013.  [2] Ralf Moller and Bernd Neumann, “Can OWL model football leagues?”  [3] A. Hanjalic and H.J. Zhang, “An Integrated Scheme for Automated Video Abstraction Based on Unsupervised Cluster-Validity Analysis”. IEEE Transaction on Circuit and Systems for Video Technology, Vol.9, No.8, December 1999;  [4] Jan Paralic, Ivan Kostial, “Ontology-based Information Retrieval. Proc. Sixth ACM Int’l Conf. Image and Video Retrieval” (CIVR ’07), pp. 202-209, 2007. [5] Christian paztrillo,renata Wassermann ad paula braga ,”Using Ontology to Retrieve Video Information A System”.  [6] Dr. S.Swamynathan “Semantic information retrieval using ontology in university domain by - Swathi rajasurya, sandhiya devi”  [7] Antello carbonaro “Ontology-based Video Retrieval in a Semantic based Learning Environment”.  [8] Dwi H. Widyantoro, “A Fuzzy Ontology-based Abstract Search Engine and Its User Studies” John Yen School of Information Sciences and Technology Pennsylvania State University University Park, PA 16801-3857, USA .  [9] RULE-BASED SCENE EXTRACTION FROM VIDEO Lei Chen and M. Tamer O¨ zsu department of Computer Science University of Waterloo Waterloo, ON, N2L3G1 fl6chen, tozsug@uwaterloo.ca.  [10] Salton, G., and McGill, M.J. (1983). Introduction to Modern Information Retrieval. New York, McGraw-Hill.  [11] A. Hanjalic and H.J. Zhang: An Integrated Scheme for Automated Video Abstraction Based on Unsupervised Cluster-Validity Analysis. IEEE Transaction on Circuit and Systems for Video Technology, Vol.9, No.8,December1999.
Published
2018-01-07
How to Cite
Kulkarni, M. U., Akki, M. M., D, M. P., Meti, M. A., Patil, M. S., & G, S. (2018). An Ontological approach towards retrieval of video semantically. Asian Journal For Convergence In Technology (AJCT) ISSN -2350-1146, 3(3). Retrieved from http://www.asianssr.org/index.php/ajct/article/view/268
Section
Article

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