Abstract
Recently, advanced multimedia applications, such as geographic information system, and content-based image/video retrieval system, require the efficient processing of k-nearest neighbor queries with semantic predicates as well as visual predicates. In this paper, we propose an integrated index structure, so-called SPY-TEC+, that provides an efficient method for indexing visual and semantic feature information at the same time using the SPY-TEC and the signature file. We also propose an efficient incremental nearest neighbor algorithm for processing the k-nearest neighbor queries with visual and semantic predicates on the SPY-TEC+.
This work was supported by the research fund of Hanyang University(HY-2004).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Fagin, R.: Fuzzy Queries in Multimedia Database Systems. In: Proc. 16th ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems (1998)
Park, D.-J., Kim, H.-J.: An Enhanced Technique for k-Nearest Neighbor Queries with Non-spatial Selection Predicates. Multimedia Tools and Applications 19, 79–103 (2003)
Hjaltason, G.R., Samet, H.: Distance Browsing in Spatial Databases. ACM Transaction on Database Systems 24, 265–318 (1999)
Guttman, A.: R-trees: A Dynamic Index Structure for Spatial Searching. In: Proc. ACM SIGMOD Int. Conf. on Management of Data, pp. 47–57 (1984)
Lee, D.-H., Kim, H.-J.: An Efficient Technique for Nearest-Neighbor Query Processing on the SPY-TEC. IEEE Transactions on Knowledge and Data Engineering 15, 1472–1486 (2003)
Deppisch, U.: S-Tree: A Dynamic Balanced Signature Index for Office Retrieval. In: Proc. of the ACM Conf. on Research and Development in Information Retrieval, pp. 77–87 (1986)
Faloutsos, C., Christodoulakis, S.: Optimal Signature Extraction and Information Loss. ACM Transaction on Database Systems 12 (1987)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lee, DH., Park, DJ. (2005). An Efficient Incremental Nearest Neighbor Algorithm for Processing k-Nearest Neighbor Queries with Visal and Semantic Predicates in Multimedia Information Retrieval System. In: Lee, G.G., Yamada, A., Meng, H., Myaeng, S.H. (eds) Information Retrieval Technology. AIRS 2005. Lecture Notes in Computer Science, vol 3689. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11562382_63
Download citation
DOI: https://doi.org/10.1007/11562382_63
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29186-2
Online ISBN: 978-3-540-32001-2
eBook Packages: Computer ScienceComputer Science (R0)