Browse > Article
http://dx.doi.org/10.3745/KIPSTD.2004.11D.2.247

Signature-based Indexing Scheme for Similar Sub-Trajectory Retrieval of Moving Objects  

Shim, Choon-Bo (부산가톨릭대학교 컴퓨터정보공학부)
Chang, Jae-Woo (전북대학교 컴퓨터공학과)
Publication Information
The KIPS Transactions:PartD / v.11D, no.2, 2004 , pp. 247-258 More about this Journal
Abstract
Recently, there have been researches on storage and retrieval technique of moving objects, which are highly concerned by user in database application area such as video databases, spatio-temporal databases, and mobile databases. In this paper, we propose a new signature-based indexing scheme which supports similar sub-trajectory retrieval at well as good retrieval performance on moving objects trajectories. Our signature-based indexing scheme is classified into concatenated signature-based indexing scheme for similar sub-trajectory retrieval, entitled CISR scheme and superimposed signature-based indexing scheme for similar sub-trajectory retrieval, entitled SISR scheme according to generation method of trajectory signature based on trajectory data of moving object. Our indexing scheme can improve retrieval performance by reducing a large number of disk access on data file because it first scans all signatures and does filtering before accessing the data file. In addition, we can encourage retrieval efficiency by appling k-warping algorithm to measure the similarity between query trajectory and data trajectory. Final]y, we evaluate the performance on sequential scan method(SeqScan), CISR scheme, and SISR scheme in terms of data insertion time, retrieval time, and storage overhead. We show from our experimental results that both CISR scheme and SISR scheme are better than sequential scan in terms of retrieval performance and SISR scheme is especially superior to the CISR scheme.
Keywords
Moving Objects; Similar Sub-Trajectory Retrieval; Signature-based Indexing Scheme; Similarity Measure;
Citations & Related Records
연도 인용수 순위
  • Reference
1 W. Niblack, et al., 'The QBIC project : Quering by Iamge Content Using Color, Texture, and Shape,' in Procceedings of SPIE Storage and Retrieval for Image and Video Databases, pp. 173-187, 1993
2 J. R. Smith, S. F. Chang, 'VisualSEEk : a Fully Automated Content-Based Image Query System,' in Procceedings of ACM Multimedia 96, pp.87-98, 1996   DOI
3 T. D. C. Little, G. Ahanger, R. J. Folz, et al.,'A Digital On-Demand Video Service Supporting Content-Based Queries,' in Proceedings of ACM Multimedia '93, pp.427-436, 1993   DOI
4 Virginia, E. Ogle and M. Stonebraker, 'Chabot: Retrieval from a Relational Database of images,' IEEE Computer, Vol.28, No.9, pp.40-48, 1995   DOI   ScienceOn
5 A. Yoshitaka, M. Yoshimitsu, M. Hirakawa and T. Ichikawa, 'V-QBE : Video database retrieval by means of example motion of objects,' in Proceedings of IEEE International Conference on Multimedia Computing and Systems, pp.453-457, 1996   DOI
6 C. Faloutsos and S. Christodoulakis, 'Signature files : An access methods for documents and its anylytical performance evaluation,' ACM Transaction on Database Systems, Vol.2, No.4, pp.267-288, 1984   DOI
7 C. C. Chang and J. H. Jiang, 'A fast spatial match retrieval using a superimposed coding technique,' In Proc. of the Int's Symposium on Advanced database Technologies and Their Integration, pp.71-78, 1994
8 J. Z. Li, M. T. Ozsu and D. Szafron, 'Modeling Video Temporal Relationships in an Object Database Management System,' In Proc. of Multimedia Computing and Networking(MMCN97), pp.80-91, 1997   DOI
9 S. H. Park, et al., 'Efficient Searches for Similar Subsequence of Difference Lengths in Sequence Databases,' In Proc. International Conference on Data Engineering, pp. 23-32, 2000
10 B. K. Yi, H. V. lagadish and C. Faloutsos, 'Efficient Retrieval of Similar Time Sequences Under Time Warping,' In Proc. International Conference on Data Engineering, pp. 201-208, 1998   DOI
11 M. K. Shan and S. Y. Lee, 'Content-based Video Retrieval via Motion Trajectories,' In Proc. International Conference on SPIE Electronic Imaging and Multimedia System II, pp. 52-61, 1998
12 S. W. Kim, S. H. Park and W. W. Chu, 'An Index-Based Approach for Similarity Search Supporting Time Warping in Large Sequence Databases,' In Proc. International Conference on Data Engineering, pp.607-614, 2001   DOI
13 G. Saltan and M. McGill, An introduction to Modern Information Retrieval, McGraw-Hill, 1993
14 M. Nabil, A. H. Ngu and J. Shepherd, 'Modeling Moving Objects in Multimedia Databases,' In Proc. of 5th International Conference on Database Systems for Advanced Applications, pp.67-76, 1997
15 S. Dagtas, A. Ghafoor and R. L. Kashyap, 'Motion-based Indexing and Retrieval of Video using Object Trajectories,' In Proc. of 6th Workshop on Multimedia Information Systems, pp.33-41, 2000
16 G. Saltan, 'A New Comparison between Conventional Indexing(MEDLARS) and Automatic Text Processing (SMART),' Journal of the American Society for Information Science, Vol.23, No.2, pp.75-84, 1972   DOI