Abstract
Multimedia retrieval brings new challenges, mainly derived from the mismatch between the level of the user interaction—high-level concepts, and that of the automatically processed descriptors—low-level features. The effective use of the low-level descriptors is therefore mandatory. Many data structures have been proposed for managing the representation of multidimensional descriptors, each geared toward efficiency in some set of basic operations. The paper introduces a highly parametrizable structure called the BitMatrix, along with its search algorithms. The BitMatrix is compared with existing methods, all implemented in a common framework . The tests have been performed on two datasets, with parameters covering significant ranges of values. The BitMatrix has proved to be a robust and flexible structure that can compete with other methods for multidimensional descriptor indexing.
Partially supported by FCT under project POSC/EIA/61109/2004 (DOMIR).
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References
Mojsilovic, A.: Semantic Metric for Image Library Exploration. IEEE Transactions on Multimedia 6, 828–838 (2004)
Martínez, J.M. (ed.): MPEG-7 Requirements Group: MPEG-7 Overview v.10. ISO/IEC JTC1/SC29/WG11 N6828 (2004)
Calistru, C., Ribeiro, C., David, G.: A flexible model for multimedia content structure and description: MetaMedia and its applications (in preparation, 2006)
Böhm, C., Berchtold, S., Keim, D.A.: Searching in high-dimensional spaces: Index structures for improving the performance of multimedia databases. ACM Comput. Surv. 33, 322–373 (2001)
Chávez, E., Navarro, G., Baeza-Yates, R., Marroquín, J.L.: Searching in metric spaces. ACM Comput. Surv. 33, 273–321 (2001)
Digout, C., Nascimento, M.A.: High-dimensional similarity searches using a metric pseudo-grid. In: ICDE Workshops 1174 (2005)
Jagadish, H.V., Ooi, B.C., Tan, K.L., Yu, C., Zhang, R.: iDistance: An adaptive B+-tree based indexing method for nearest neighbor search. ACM Trans. Database Syst. 30, 364–397 (2005)
Carey, M.J., Haas, L.M., Schwarz, P.M., Arya, M., Cody, W.F., Fagin, R., Flickner, M., Luniewski, A.W., Niblack, W., Petkovic, D., Thomas, J., Williams, J.H., Wimmers, E.L.: Towards heterogeneous multimedia information systems: the Garlic approach. In: RIDE 1995: Proceedings of the 5th International Workshop on Research Issues in Data Engineering-Distributed Object Management (RIDE-DOM 1995), pp. 124–131. IEEE Computer Society, Los Alamitos (1995)
Fagin, R., Lotem, A., Naor, M.: Optimal aggregation algorithms for middleware. In: PODS 2001: Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, pp. 102–113. ACM Press, New York (2001)
Arjen, P.d.V., Mamoulis, N., Nes, N., Kersten, M.: Efficient k-NN search on vertically decomposed data. In: SIGMOD 2002: Proceedings of the 2002 ACM SIGMOD international conference on Management of data, pp. 322–333. ACM Press, New York (2002)
Weber, R., Schek, H.J., Blott, S.: A Quantitative Analysis and Performance Study for Similarity-Search Methods in High-Dimensional Spaces. In: Proc. 24th Int. Conf. Very Large Data Bases, VLDB, pp. 194–205 (1998)
Aggarwal, C.C., Yu, P.S.: The IGrid index: Reversing the dimensionality curse for similarity indexing in high dimensional space. In: KDD 2000: Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 119–129. ACM Press, New York (2000)
Cha, G.H.: Bitmap indexing method for complex similarity queries with relevance feedback. In: MMDB 2003: Proceedings of the 1st ACM international workshop on Multimedia databases, pp. 55–62. ACM Press, New York (2003)
Goldstein, J., Platt, J.C., Burges, C.J.C.: Redundant Bit Vectors for Quickly Searching High-Dimensional Regions. In: Deterministic and Statistical Methods in Machine Learning, pp. 137–158 (2004)
Beyer, K., Goldstein, J., Ramakrishnan, R., Shaft, U.: When Is Nearest Neighbor Meaningful? In: Beeri, C., Bruneman, P. (eds.) ICDT 1999. LNCS, vol. 1540, pp. 217–235. Springer, Heidelberg (1998)
Aggarwal, C.C.: Towards meaningful high-dimensional nearest neighbor search by human-computer interaction. In: Proceedings of 18th International Conference on Data Engineering 2002, pp. 593–604 (2002)
Katayama, N., Satoh, S.: Distinctiveness-Sensitive Nearest Neighbor Search for Efficient Similarity Retrieval of Multimedia Information. In: Proceedings of the 17th International Conference on Data Engineering, pp. 493–502. IEEE Computer Society, Washington (2001)
Gonçalves, B., Calistru, C., Ribeiro, C., David, G.: Experimental results for multidimensional multimedia descriptor indexing (2006) (Submitted for publication)
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Calistru, C., Ribeiro, C., David, G. (2006). Multidimensional Descriptor Indexing: Exploring the BitMatrix. In: Sundaram, H., Naphade, M., Smith, J.R., Rui, Y. (eds) Image and Video Retrieval. CIVR 2006. Lecture Notes in Computer Science, vol 4071. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11788034_41
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DOI: https://doi.org/10.1007/11788034_41
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