Abstract
In this study, a multimedia database system which includes a semantic content extractor, a high-dimensional index structure and an intelligent fuzzy object-oriented database component is proposed. The proposed system is realized by following a component-oriented approach. It supports different flexible query capabilities for the requirements of video users, which is the main focus of this paper. The query performance of the system (including automatic semantic content extraction) is tested and analyzed in terms of speed and accuracy.
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References
Lew, M.S., Sebe, N., Djeraba, C., Jain, R.: Content-Based Multimedia Information Retrieval: State of the Art and Challenges. ACM Trans. on Multimedia Computing, Communications, and Applications 2, 1–19 (2006)
Hacid, M.S., Decleir, C., Kouloumdjian, J.: A Database Approach for Modeling and Querying Video Data. IEEE Trans. on Knowledge and Data Eng. 12, 729–750 (2000)
Petkovic, M., Jonker, W.: An Overview of Data Models and Query Languages for Content-based Video Retrieval. In: Int. Conf. on Advances in Infrastructure for E-Business, Science, and Education on the Internet, l’Aquila, Italy (2000)
Marques, O., Furht, B.: MUSE: A Content-Based Image Search and Retrieval System Using Relevance Feedback. Multimedia Tools and Applications 17, 21–50 (2002)
Datta, R., Li, J., Wang, J.Z.: Content-based image retrieval: approaches and trends of the new age. In: Proc. ACM International Workshop on Multimedia Information Retrieval, pp. 253–262. ACM Press, New York (2005)
Fan, J., Elmagarmid, A.K., Member, S., Zhu, X., Aref, W.G., Wu, L.: ClassView: Hierarchical Video Shot Classification, Indexing, and Accessing. IEEE Trans. on Multimedia 6, 70–86 (2004)
Kompatsiaris, I., Avrithis, Y., Hobson, P., Strintzis, M.G.: Integrating Knowledge, Semantics and Content for User-Centered Intelligent Media Services: the aceMedia project. In: Proc. of Workshop on Image Analysis for Multimedia Interactive Services (2004)
Natarajan, P., Nevatia, R.: EDF: A framework for Semantic Annotation of Video. In: 10th IEEE Int. Conf. on Computer Vision Workshops, p. 1876. IEEE Computer Society, Los Alamitos (2005)
Liu, Y., Zhang, D., Lu, G., Ma, W.: A survey of content-based image retrieval with high-level semantics. Pattern Recognition 40, 262–282 (2007)
Ekin, A., Tekalp, A.M., Mehrotra, R.: Integrated Semantic-Syntactic Video Modeling for Search and Browsing. IEEE Transactions on Multimedia 6, 839–851 (2004)
Aygün, R.S., Yazici, A.: Modeling and Management of Fuzzy Information in Multimedia Database Applications. Multimedia Tools and Applications 24, 29–56 (2004)
Donderler, M.E., Saykol, E., Arslan, U., Ulusoy, O.: BilVideo: design and implementation of a video database management system. Multimedia Tools and Applications 27, 79–104 (2005)
Ozgur, B., Koyuncu, M., Yazici, A.: An intelligent fuzzy object-oriented database framework for video database applications. Fuzzy Sets and Systems 160, 2253–2274 (2009)
DB4Object, http://www.db4o.com/
Koyuncu, M., Yazici, A.: IFOOD: An Intelligent Fuzzy Object-Oriented Database Architecture. IEEE Trans. on Knowledge and Data Engineering 15, 1137–1154 (2003)
JESS, http://www.jessrules.com
Amsaleg, L., Gros, P.: Content-based Retrieval Using Local Descriptors: Problems and Issues from a Database Perspective. Pattern Analysis and Applications 4, 108–124 (2001)
Calistru, C., Ribeiro, C., David, G.: Multidimensional descriptor indexing: Exploring the bitMatrix. In: Sundaram, H., Naphade, M., Smith, J.R., Rui, Y. (eds.) CIVR 2006. LNCS, vol. 4071, pp. 401–410. Springer, Heidelberg (2006)
MPEG-7 Part-6 Reference SW: Experimentation Model (XM), ISO, http://mpeg.chiariglione.org/technologies/mpeg-7/mp07-rsw/index.htm
Yildirim, Y., Yilmaz, T., Yazici, A.: Ontology-Supported Object and Event Extraction with a Genetic Algorithms Approach for Object Classification. In: Proc. of the 6th ACM Int. Conf. on Image and Video Retrieval (CIVR 2007), New York, USA, pp. 202–209 (2007)
Koyuncu, M., Yilmaz, T., Yildirim Y., Yazici, A.: A Framework for Fuzzy Video Content Extraction, Storage and Retrieval. In: IEEE Int. Conf. on Fuzzy Systems (2010), http://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=5583929
Shi, J., Malik, J.: Normalized cuts and image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence 22, 888–905 (2000)
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Demir, U., Koyuncu, M., Yazici, A., Yilmaz, T., Sert, M. (2011). Flexible Content Extraction and Querying for Videos. In: Christiansen, H., De Tré, G., Yazici, A., Zadrozny, S., Andreasen, T., Larsen, H.L. (eds) Flexible Query Answering Systems. FQAS 2011. Lecture Notes in Computer Science(), vol 7022. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24764-4_40
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DOI: https://doi.org/10.1007/978-3-642-24764-4_40
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