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Improving Statistical Multimedia Information Retrieval (MIR) Model by using Ontology and Various Information Retrieval (IR) Approaches
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 94 - Number 2 |
| Year of Publication: 2014 |
| Authors: Vishal Jain, Gagandeep Singh Narula |
10.5120/16317-5558
|
Vishal Jain, Gagandeep Singh Narula . Improving Statistical Multimedia Information Retrieval (MIR) Model by using Ontology and Various Information Retrieval (IR) Approaches. International Journal of Computer Applications. 94, 2 ( May 2014), 27-30. DOI=10.5120/16317-5558
Abstract
The process of retrieval of relevant information from massive collection of documents, either multimedia or text documents is still a cumbersome task. Multimedia documents include various elements of different data types including visible and audible data types (text, images and video documents), structural elements as well as interactive elements. In this paper, we have proposed a statistical high level multimedia IR model that is unaware of the shortcomings caused by classical statistical model. It involves use of ontology and different statistical IR approaches (Extended Boolean Approach, Bayesian Network Model etc) for representation of extracted text-image terms or phrases. A typical IR system that delivers and stores information is affected by problem of matching between user query and available content on web. Use of Ontology represents the extracted terms in form of network graph consisting of nodes, edges, index terms etc. The above mentioned IR approaches provide relevance thus satisfying user's query. The paper also emphasis on analyzing multimedia documents and performs calculation for extracted terms using different statistical formulas. The proposed model developed reduces semantic gap and satisfies user needs efficiently.
References
- International Press Telecommunications Council: IPTC Core" Schema for XMP Version 1. 0 Specification document (2005)
- Technical Standardization Committee on AV & IT Storage Systems and Equipment: Exchangeable image _le format for digital still cameras: Exif Version 2. 2. Technical Report JEITA CP-3451 (April 2002)
- Borgo, S. , Masolo, C. : Foundational choices in DOLCE. In: Handbook on Ontologies. 2nd edn. Springer (2009)
- Joao Miguel Costa Magalhaes: 'Statistical Models for Semantic – Multimedia Information Retrieval', September 2008.
- Meghini C, Sebastiani F, and Straccia U: 'A model of multimedia information retrieval' Journal of ACM (JACM), 48(5), pages 909–970, 2001.
- Grosky, W. I. , Zhao, R. : 'Negotiating the semantic gap: From feature maps to semantic landscape', Lecture Notes in Computer Science 2234 (2001).
- Adams, W. H. , Iyengart, G. , Lin, C. Y. , Naphade, M. R. , Neti, C. , Nock, H. J. , and Smith, J. :' Semantic indexing of multimedia content using visual, audio and text cues' EURASIP Journal on Applied Signal Processing 2003 (2), pages 170-185.
- Datta, R. , Joshi, D. , Li, J. , and Wang, J. Z. : 'Image retrieval: ideas, influences, and trends of the new age' ACM Computing Surveys, 2008.
- Hofmann, T. , and Puzicha: 'Statistical models for co-occurrence data. Technical Report', Massachusetts Institute of Technology, 1998
- M. Preethi, Dr. J. Akilandeswari,: 'Combining Retrieval with Ontology Browsing', International Journal of Internet Computing, Vol. 1, Issue-1", 2011
- Croft, W. B. , Turtle, H. R. , and Lewis, D. D. : 'The use of phrases and structured queries in information retrieval', In ACM SIGIR Conf. on research and development in information retrieval, Chicago, Illinois, United States 2004
- Rifat Ozcan, Y. Alp: 'Concept Based Information Access using Ontologies and Latent Semantic Analysis', Technical Report, 2004-08.
- F. Crestani, M. Lalmas, C. J. van Rijsbergen, and I. Campbell: 'Is this document relevant? . . . Probably: A survey of probabilistic models in information retrieval', ACM Computing Surveys, 30(4), pages 528- 552, December 1998.
- Manning C. D. , Raghavan P. , and Schu¨tze H: 'An Introduction to Information Retrieval', Cambridge University Press, Cambridge, 2007.
- CAI, D. , Yu, S. Wen, J. -R. , and Ma, W. -Y: 'Extracting content structure for Web pages based on visual Representation'. In Asia Pacific Web Conference 2003
- Metzler, D. Manmatha, R: 'An inference network approach to image retrieval', In Enser, P. G. B. , Kompatsiaris, Y. , O'Connor, N. E. Smeaton, A. F. Smeulders, A. W. M. , eds. : CIVR. Volume 3115 of Lecture Notes in Computer Science. Springer (2004) 42–50.
- Faloutsos C. , Barber R. , Flickner M. , Hafner J. , and Niblack W: 'Efficient and effective querying by image content', J. Intell. Inform. Syst. , 3:231–262, 1994.
- Ed Greengrass: 'Information Retrieval: A Survey', November 2000
- O. S. Al- Kadi: 'Combined Statistical and Model based texture features for improved image classification', 4th IET International Conference on Advances in Medical, Signal and Information Processing (MEDSIP 2008), January 2008 page 314.
- S. Vigneshwari, M. Aramudhan: 'An Ontological Approach for effective knowledge engineering', International Conference on Software Engineering and Mobile Application Modeling and Development (ICSEMA 2012), January 2012 page 5.
- M. A. Moraga, C. Calero, and M. F. Bertoa: 'Improving interpretation of component-based systems quality through visualization techniques', IET Software, Volume 4, Issue 1, February 2010, p. 79 – 90, DOI: 10. 1049/iet-sen. 2008. 0056,Print ISSN 1751-8806, Online ISSN 1751-8814.
- Michael S. Lew, Nicu Sebu, Chabane Djeraba and Ramesh Jain: 'Content-based Multimedia Information Retrieval: State of Art and Challenges', In ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP), Feb 2006.
- Alberto Del Bimbo, Pietro Pala: 'Content- based retrieval of 3D Models', In ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP), Vol. 2 Issue 1, Feb 2006, Pages 20-43.
- Carlo Meghini, Fabrizio Sebastiani and Umberto Straccia: 'A model of multimedia information retrieval', Journal of ACM (JACM), Vol 48, Issue 5 September 2001, Pages 909-970.
- Simone Sanitini: 'Efficient Computation of queries on feature streams', In ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP), Vol. 7 Issue 4, November 2011, Article No. 38
- Graham Bennett, Falk Scholer and Alexandra: 'A comparative study of probabilistic and language models for information retrieval', In Proceedings of nineteenth conference on Australian database ADC'08, Vol. 75 ISBN: 978-1-920682-56-9, Pages 65-74.
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