Abstract
This paper proposes a framework for the handling of spatio-temporal queries with inexact matches, using the concept of relation similarity. We initially describe a binary string encoding for 1D relations that permits the automatic derivation of similarity measures. We then extend this model to various granularity levels and many dimensions, and show that reasoning on spatio-temporal structure is significantly facilitated in the new framework. Finally, we provide algorithms and optimization methods for four types of queries: (i) object retrieval based on some spatio-temporal relations with respect to a reference object, (ii) spatial joins, i.e., retrieval of object pairs that satisfy some input relation, (iii) structural queries, which retrieve configurations matching a particular spatio-temporal structure, and (iv) special cases of motion queries. Considering the current large availability of multidimensional data and the increasing need for flexible query-answering mechanisms, our techniques can be used as the core of spatio-temporal query processors.
- ADAM,N.AND YESHA, Y. 1996. Strategic directions in electronic commerce and digital libraries: Towards a digital agora. ACM Comput. Surv. 28, 4, 818-835. Google Scholar
- ALLEN, J. F. 1983. Maintaining knowledge about temporal intervals. Commun. ACM 26,11 (Nov.), 832-843. Google Scholar
- ARGE, L., PROCOPIUC, O., RAMASWAMY, S., SUEL, T., AND VITTER, J. S. 1996. Scalable sweeping-based spatial join. In Proceedings of the 21st Conference on VLDB (Zurich, Switzerland). VLDB Endowment, Berkeley, CA, 570-581. Google Scholar
- BACCHUS,F.AND GROVE, A. 1995. On the forward checking algorithm. In Proceedings of the International Conference on Principles and Practice of Constraint Programming. 292-308. Google Scholar
- BACCHUS,F.AND VAN RUN, P. 1995. Dynamic variable ordering in CSPs. In Proceedings of the International Conference on Principles and Practice of Constraint Programming. 258-275. Google Scholar
- BECKMANN, N., KRIEGEL, H.-P., SCHNEIDER, R., AND SEEGER, B. 1990. The R-tree: An efficient and robust access method for points and rectangles. SIGMOD Rec. 19, 2 (Jun.), 322-331. Google Scholar
- BERCHTOLD, S., ERTL, B., KEIM,D.A.,KRIEGEL, H. -P., AND SEIDL, T. 1997. Fast nearest neighbor search in high-dimensional space. In Proceedings of the 1997 Conference on ICDE. 209-218. Google Scholar
- BUREAU OF THE CENSUS. 1994. TIGER/Line files. Bureau of the Census, Washington DC.Google Scholar
- BRINKHOFF, T., KRIEGEL, H.-P., SCHNEIDER, R., AND SEEGER, B. 1994. Multi-step processing of spatial joins. SIGMOD Rec. 23, 2 (June), 197-208. Google Scholar
- BRINKHOFF, T., KRIEGEL, H.-P., AND SEEGER, B. 1993. Efficient processing of spatial joints using R-trees. SIGMOD Rec. 22, 2 (June 1), 237-246. Google Scholar
- BRINKHOFF, T., KRIEGEL, H. -P., AND SEEGER, B. 1997. Parallel processing of spatial joins using R-trees. In Proceedings of the 1997 Conference on ICDE. 258-265. Google Scholar
- BRUNS,T.AND EGENHOFER, M. 1996. Similarity of spatial scenes. In Proceedings of the Conference on Spatial Data Handling (Delft, The Netherlands), M.-J. Kraak and M. Molenaar, Eds. 31-42.Google Scholar
- CHANG, S., JUNGERT, E., AND LI, T. 1989. Representation and retrieval of symbolic pictures using generalized 2D strings. In Proceedings of the Conference on SPIE Visual Communications and Image Processing IV. 1360-1372.Google Scholar
- CHANG, S. -F., CHEN, W., MENG,H.J.,SUNDARAM, H., AND ZHONG, D. 1998. A fully automatic content-based video search engine supporting multi-object spatio-temporal queries. IEEE Trans. Circuits Syst. Video Technol. 8, 5 (Sept.), 602-615. Google Scholar
- CHANG, S., SHI, Q., AND YAN, C. 1987. Iconic indexing by 2-D String. IEEE Trans. Pattern Anal. Mach. Intell. 9, 3, 413-428. Google Scholar
- EGENHOFER,M.J.AND AL-TAHA, K. 1992. Reasoning about gradual changes of topological relations. In International Conference GIS: From Space to Territory. Springer-Verlag, New York, NY, 196-219. Google Scholar
- FALOUTSOS, C., BARBER, R., FLICKNER, M., HAFNER, J., NIBLACK, W., PETKOVIC, D., AND EQUITZ, W. 1994. Efficient and effective querying by image content. J. Intell. Inf. Syst. 3, 3/4 (July), 231-262. Google Scholar
- FREKSA, C. 1992. Temporal reasoning based on semi-intervals. Artif. Intell. 54, 1-2 (Mar.), 199-227. Google Scholar
- GUDIVADA,V.N.AND RAGHAVAN, V. V. 1995. Design and evaluation of algorithms for image retrieval by spatial similarity. ACM Trans. Inf. Syst. 13, 2 (Apr.), 115-144. Google Scholar
- GUTTMAN, A. 1984. R-trees: A dynamic index structure for spatial searching. In Proceedings of the ACM SIGMOD Annual Meeting on Management of Data (SIGMOD '84, Boston, MA, June18-21). ACM, New York, NY, 47-57. Google Scholar
- HARALICK,R.M.AND ELLIOTT, G. L. 1980. Increasing tree search efficiency for constraint satisfaction problems. Artif. Intell. 14, 263-313.Google Scholar
- HERNANDEZ, D. 1994. Qualitative Representation of Spatial Knowledge. Springer-Verlag, New York, NY. Google Scholar
- HUANG, Y. -W., JING, N., AND RUNDENSTEINER, E. 1997. Spatial joins using R-trees: Breadth first traversal with global optimizations. In Proceedings of the 23rd Conference on VLDB (Athens, Greece, Aug.). VLDB Endowment, Berkeley, CA, 396-405. Google Scholar
- KOUDAS,N.AND SEVCIK, K. 1994. Size separation spatial join. In Proceedings of the 1994 ACM Conference on SIGMOD (Minneapolis, MN, May). ACM Press, New York, NY, 324-335. Google Scholar
- LEE, S.-Y. AND HSU, F.-J. 1992. Spatial reasoning and similarity retrieval of images using 2D C-string knowledge representation. Pattern Recogn. 25, 3 (Mar.), 305-318. Google Scholar
- LEE, S., YANG, M., AND CHEN, J. 1992. Signature file as a spatial filter for iconic image database. J. Visual Lang. Comput. 3, 4, 373-397.Google Scholar
- LO, M.-L. AND RAVISHANKAR, C. V. 1994. Spatial joins using seeded trees. SIGMOD Rec. 23,2 (June), 209-220. Google Scholar
- LO, M.-L. AND RAVISHANKAR, C. V. 1996. Spatial hash-joins. SIGMOD Rec. 25, 2, 247-258. Google Scholar
- MAMOULIS,N.AND PAPADIAS, D. 1999. Integration of spatial join algorithms for processing multiple inputs. SIGMOD Rec. 28, 1 (Mar.), 1-12. Google Scholar
- MAYBURY,M.T.,ED. 1997. Intelligent Multimedia Information Retrieval. MIT Press, Cambridge, MA. Google Scholar
- MISHRA,P.AND EICH, M. H. 1992. Join processing in relational databases. ACM Comput. Surv. 24, 1 (Mar.), 63-113. Google Scholar
- NABIL, M., NGU, A., AND SHEPHERD, J. 1996. Picture similarity retrieval using 2d projection interval representation. IEEE Trans. Knowl. Data Eng. 8, 4 (Aug.), 533-539. Google Scholar
- NADEL, B. A. 1990. Constraint satisfaction algorithms. Comput. Intell. 5, 4 (Nov.), 188-224. Google Scholar
- STONEBRAKER, M. 1995. Chabot: Retrieval from a relational database of images. IEEE Computer 28,9,40-48. Google Scholar
- ORENSTEIN, J. A. 1986. Spatial query processing in an object-oriented database system. SIGMOD Rec. 15, 2 (June), 326-336. Google Scholar
- PAPADIAS,D.AND THEODORIDIS, Y. 1997. Spatial relations, minimum bounding rectangles, and spatial data structures. Int. J. Geograph. Inf. Syst. 11, 2, 111-138.Google Scholar
- PAPADIAS, D., MAMOULIS, N., AND THEODORIDIS, Y. 1999. Processing and optimization of multiway spatial joins using R-trees. In Proceedings of the Conference on ACM PODS. 44-55. Google Scholar
- PAPADIAS, D., MANTZOUROGIANNIS, M., KALNIS, P., MAMOULIS, N., AND AHMAD, I. 1992. Content-based retrieval using heuristic search. In Proceedings on ACM SIGIR. ACM Press, New York, NY, 168-175. Google Scholar
- PAPADIAS, D., THEODORIDIS, Y., SELLIS, T., AND EGENHOFER, M. 1994. Topological relations in the world of minimum bounding rectangles: A study with R-trees. In Proceedings of the 1994 ACM Conference on SIGMOD (Minneapolis, MN, May). ACM Press, New York, NY, 92-103. Google Scholar
- PARK, H., CHA, G., AND CHUNG, J. M. 1999. Multiway spatial joins using R-trees: Methodology and performance evaluation. In Proceedings of the 6th International Symposium on Spatial Databases. 229-250. Google Scholar
- PATEL,J.M.AND DEWITT, D. J. 1996. Partition based spatial-merge join. SIGMOD Rec. 25,2, 259-270. Google Scholar
- PETRAKIS,E.AND FALOUTSOS, C. 1997. Similarity searching in medical image databases. IEEE Trans. Knowl. Data Eng. 9, 3 (May/June), 435-447. Google Scholar
- PREPARATA,F.P.AND SHAMOS, M. I. 1985. Computational Geometry: An Introduction. Springer Texts and Monographs in Computer Science. Springer-Verlag, New York, NY. Google Scholar
- ROTEM, D. 1991. Spatial join indices. In Proceedings of the Conference on ICDE. 500-509. Google Scholar
- ROUSSOPOULOS, N., KELLEY, S., AND VINCENT, F. 1995. Nearest neighbor queries. In Proceedings of the 1995 ACM SIGMOD International Conference on Management of Data (SIGMOD '95, San Jose, CA, May 23-25), M. Carey and D. Schneider, Eds. ACM Press, New York, NY, 71-79. Google Scholar
- SEIDL,T.AND KRIEGEL, H. -P. 1997. Efficient user-adaptable similarity search in large multimedia databases. In Proceedings of the 23rd International Conference on Very Large Data Bases (VLDB '97, Athens, Greece, Aug.). 506-515. Google Scholar
- SMITH,J.AND CHANG, S. 1996. Searching for images and videos on the world-wide web. CU/CTR 459-96-25.Google Scholar
- SELLIS, T., ROUSSOPOULOS, N., AND FALOUTSOS, C. 1987. The R1-tree: A dynamic index for multi-dimensional objects. In Proceedings of the 13th Confererence on Very Large Data Bases (Brighton, England, Sept.). VLDB Endowment, Berkeley, CA, 507-518. Google Scholar
- VALDURIEZ, P. 1987. Join indices. ACM Trans. Database Syst. 12, 2 (June), 218-246. Google Scholar
- VAZIRGIANNIS, M., THEODORIDIS, Y., AND SELLIS, T. 1998. Spatio-temporal composition and indexing for large multimedia applications. Multimedia Syst. 6, 4, 284-298. Google Scholar
Index Terms
- Approximate spatio-temporal retrieval
Recommendations
Selectivity estimation for spatio-temporal queries to moving objects
SIGMOD '02: Proceedings of the 2002 ACM SIGMOD international conference on Management of dataA query optimizer requires selectivity estimation of a query to choose the most efficient access plan. An effective method of selectivity estimation for the future locations of moving objects has not yet been proposed. Existing methods for spatial ...
Spatio-temporal representation and retrieval using moving object's trajectories
MULTIMEDIA '00: Proceedings of the 2000 ACM workshops on MultimediaIn this paper, we propose a new spatio-temporal representation scheme using moving objects' trajectories in video data. In order to support content-based retrieval on video data very well, our representation scheme considers the moving distance of an ...
Comments