Abstract
In this paper, we develop a trajectory-based video retrieval system. To achieve it, we first design a spatio-temporal representation scheme for modeling the trajectories of moving objects in video databases. In addition, we present an efficient trajectory-based retrieval scheme using a k-warping distance algorithm. Finally, we propose a new signature-based access method which can provide good retrieval performance on a trajectory-based query. To show the usefulness of applying our above schemes to a real video database application, we implement a trajectory-based soccer video retrieval system because soccer video data generally contain a lot of motions according to a salient object called soccer ball. Our soccer video retrieval system provides graphic user interfaces for both indexing and retrieval. We also provide the performance analysis of our trajectory-based video retrieval scheme.
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
Aghbari, Z., Kaneko, K., Makinouchi, A.: Modeling and Querying Videos by Content Trajectories. In: Proceedings of the International Conference and Multimedia Expo, pp. 463–466 (2000)
Li, J.Z., Ozsu, M.T., Szafron, D.: Modeling Video Temporal Relationships in an Object Database Management System. In: Proceedings of Multimedia Computing and Networking (MMCN 1997), pp. 80–91 (1997)
Li, J.Z., Ozsu, M.T., Szafron, D.: Modeling of Video Spatial Relationships in an Objectbase Management System. In: Proceedings of International Workshop on Multimedia DBMS, pp. 124–133 (1996)
Shan, M.K., Lee, S.Y.: Content-based Video Retrieval via Motion Trajectories. In: Proceedings of SPIE Electronic Imaging and Multimedia System II, vol. 3561, pp. 52–61 (1998)
Park, S.H., et al.: Efficient Searches for Simialr Subsequence of Difference Lengths in Sequence Databases. In: Proc. Int’l. Conf. on Data Engineering, pp. 23–32. IEEE, Los Alamitos (2000)
Kim, S.W., Park, S.H., Chu, W.W.: An Index-Based Approach for Similarity Search Supporting Time Warping in Large Sequence Databases. In: Proc. Int’l. Conf. on Data Engineering, pp. 607–614. IEEE, Los Alamitos (2001)
Faloutsos, C., Christodoulakis, S.: Signature files: An access methods for documents and its anylytical performance evaluation. ACM Transaction on Database Systems 2(4), 267–288 (1984)
Yoon, H.S., Soh, J., Min, B.W., Yang, Y.K.: Soccer image sequence mosaicing using reverse affine transform. In: Proc. of Int’l. Technical Conference on Circuits/Systems, Computers and Communications, pp. 877–880 (2000)
Salton, G., McGill, M.: An introduction to Modern Information Retrieval. McGraw-Hill, New York (1993)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Shim, CB., Chang, JW., Kim, YC. (2004). Trajectory-Based Video Retrieval for Multimedia Information Systems. In: Yakhno, T. (eds) Advances in Information Systems. ADVIS 2004. Lecture Notes in Computer Science, vol 3261. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30198-1_38
Download citation
DOI: https://doi.org/10.1007/978-3-540-30198-1_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23478-4
Online ISBN: 978-3-540-30198-1
eBook Packages: Computer ScienceComputer Science (R0)