A Frame Work for Query Results Refinement in Multimedia Databases

Authors: Humaira Liaquat, Nadeem Iftikhar, Shaukat Ali, Zohaib Zafar Iqbal

Abstract:

In the current age, retrieval of relevant information from massive amount of data is a challenging job. Over the years, precise and relevant retrieval of information has attained high significance. There is a growing need in the market to build systems, which can retrieve multimedia information that precisely meets the user's current needs. In this paper, we have introduced a framework for refining query results before showing it to the user, using ambient intelligence, user profile, group profile, user location, time, day, user device type and extracted features. A prototypic tool was also developed to demonstrate the efficiency of the proposed approach.

Keywords: Context aware retrieval, Information retrieval, Ambient Intelligence, Multimedia databases, User and group profile.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1055082

References:

[1] Westerveld, T. Image Retrieval: Content versus context, Content-Based Multimedia Information Access, RIAO, 2000.
[2] Amores, J., Sebe,N., Radeva, P., Gevers, T., Smeulders, A., Boosting contextual information in content based image retrieval, Proceedings of the 6th ACM SIGMM international workshop on Multimedia, Information Retrieval, October 2004.
[3] Hong, I.J., The context fabric: an infrastructure for context-aware computing, Conference on Human Factors in Computing Systems, CHI '02 extended abstracts on Human factors in computing systems, Minneapolis, Minnesota, USA, Pages: 554 - 555, 2002.
[4] Waszkiewicz, P., Cunningham, P., Byrne, C., Case-based User Profiling in a Personal Travel Assistant, In Autonomous Agents 98, Minneapolis MN USA.
[5] Pignotti, E., Edwards, P., Grimnes, A.G., Context-aware personalized service delivery.
[6] Dimitrova, N., Zhang, J.H., Shahraray, B., Sezan, I., Huang, T. , Zakhor, A., Applications of video-content analysis and retrieval. Multimedia, IEEE, Jul-Sep 2002, Volume: 9, Issue: 3, on page(s): 42- 55.
[7] Chai, W., Vercoe, B., Using user models in music information retrieval systems. Proc. International Symposium on Music Information Retrieval, Oct. 2000.
[8] Smailagic, A., Siewiorek, P.D., Anhalt, J., Gemperle, F., Towards Context Aware Computing: Experiences and Lessons, IEEE Journal on Intelligent Systems, vol. 16, pp. 38-46, 2001.
[9] Brown,J.P., Jones,F.J.G. Exploiting contextual change in context-aware retrieval. Symposium on Applied Computing, Proceedings of the 2002 ACM symposium on Applied computing Madrid, Spain, Pages: 650 - 656, 2002.
[10] Mitchell, S., Spiteri, D.M., Bates, J., Coulouris, C., Context-Aware Multimedia Computing in The Intelligent Hospital Proceedings of the 9th workshop on ACM SIGOPS European workshop: beyond the PC: new challenges for the operating system, 2000.
[11] Morikawa, D., Honjo, M., Yamaguchi, A., Ohashi, M., Profile Aggregation and Dissemination: A Framework for Personalized Service Provisioning, KDDI Corporation 3-10-10 Iidabashi Chiyoda-ku, Tokyo 102-8460 JAPAN +81 3, 2004.
[12] Mayrhofer, R., An Architecture for Context Prediction, Advances in Pervasive Computing, part of the Second International Conference on Pervasive Computing (PERVASIVE 2004), Austrian Computer Society (OCG), vol. 176, ISBN: 3-85403-176-9, pp. 65-72, April 2004.
[13] Tazari, R.M., A context oriented RDF database.
[14] Zhu, L., Rao, A., Zhang, A., Advanced feature extraction for keyblockbased image retrieval. Information Systems Volume 27, Issue 8 (December 2002)
[15] Iftikhar, I., Zafar, Z., Ali, S., Context-Aware Querying in Multimedia Databases - A Futuristic Approach. 3rd World Enformatika Conference, WEC'05, April 27-29, 2005, Istanbul, Turkey.
[16] Dogac, A., Laleci, B.G., Yildiray, K., A context Framework for Ambient Intelligence.
[17] Gauvin. M, Boury-Brisset. C. A, Auger. A, "Context, Ontology and Portfolio: Key Concepts for a Situational Awareness Knowledge Portal", Proceedings of the 37th Hawaii International Conference on System Sciences - 2004.
[18] Preuveneers. D, Bergh. D, Wagelaar. D, Georges. A, Rigole. P, Clerckx. T, Berbers. Y, Coninx. K, Jonckers. V, Bosschere. D. K. "Towards an extensible context ontology for Ambient Intelligence", European Symposium on Ambient Intelligence (EUSAI 2004), pp. 148-159 ,LNCS 3295, Eindhoven, The Netherlands.
[19] Lindwer. M., Marculescu. D., Basten. T., Zimmermann. R., Marculescu. R., Jung. S., Cantatore. E., "Ambient Intelligence Visions and Achievements: Linking Abstract Ideas to Real-World Concepts", Proc. Design Automation & TEst in Europe (DATE), March, 2003.
[20] Hu. Z., Marculescu. R.,"Adaptive data partitioning for ambient multimedia", Proceedings of the 41st annual conference on Design automation San Diego, CA, USA 2004.