|
| This Article | ||
| ||
| Share | ||
| Bibliographic References | ||
| Add to: | ||
 Digg  Furl  Spurl  Blink  Simpy  Google  Del.icio.us  Y!MyWeb | ||
| Search | ||
| ||
| ASCII Text | x | ||
| C.C. Liu, A.L.P. Chen, "3D-List: A Data Structure for Efficient Video Query Processing," IEEE Transactions on Knowledge and Data Engineering, vol. 14, no. 1, pp. 106-122, January/February, 2002. | |||
| BibTex | x | ||
| @article{ 10.1109/69.979976, author = {C.C. Liu and A.L.P. Chen}, title = {3D-List: A Data Structure for Efficient Video Query Processing}, journal ={IEEE Transactions on Knowledge and Data Engineering}, volume = {14}, number = {1}, issn = {1041-4347}, year = {2002}, pages = {106-122}, doi = {http://doi.ieeecomputersociety.org/10.1109/69.979976}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - JOUR JO - IEEE Transactions on Knowledge and Data Engineering TI - 3D-List: A Data Structure for Efficient Video Query Processing IS - 1 SN - 1041-4347 SP106 EP122 EPD - 106-122 A1 - C.C. Liu, A1 - A.L.P. Chen, PY - 2002 KW - video query processing KW - content-based retrieval KW - video index KW - spatial and temporal relationship KW - three-dimensional representation KW - string matching VL - 14 JA - IEEE Transactions on Knowledge and Data Engineering ER - | |||
Abstract—In this paper, a video query model based on the content of video and iconic indexing is proposed. We extend the notion of two-dimensional strings to three-dimensional strings (3D-Strings) for representing the spatial and temporal relationships among the symbols in both a video and a video query. The problem of video query processing is then transformed into a problem of three-dimensional pattern matching. To efficiently match the 3D-Strings, a data structure, called 3D-List, and its related algorithms are proposed. In this approach, the symbols of a video in the video database are retrieved from the video index and organized as a 3D-List according to the 3D-String of the video query. The related algorithms are then applied on the 3D-List to determine whether this video is an answer to the video query. Based on this approach, we have started a project called Vega. In this project, we have implemented a user friendly interface for specifying video queries, a video index tool for constructing the video index, and a video query processor based on the notion of 3D-List. Some experiments are also performed to show the efficiency and effectiveness of the proposed algorithms.
[1] A.V. Aho and M.J. Corasick, “Efficient String Matching: An Aid to Bibliographic Search,” Comm. ACM, vol. 18, pp. 333-340, June 1979.
[2] T.P. Baker, “A Technique for Extending Rapid Exact-Match String matching to Arrays of More Than One Dimension,” SIAM J. Computing, vol. 7, pp. 533-541, Nov. 1978.
[3] R.S. Bird, “Two Dimensional Pattern Matching,” Information Processing Letters, vol. 6, no. 5, pp. 168-170, Oct. 1977.
[4] R.S. Boyer and J.S. Moore, “A Fast String Searching Algorithm,” Comm. ACM, vol. 20 pp. 762-772, Oct. 1977.
[5] S.K. Chang, Q.Y. Shi, and C.W. Yan, “Iconic Indexing by 2-D Strings,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 9, no. 3, pp. 413-427, July 1987.
[6] S.K. Chang, C.W. Yan, D.C. Dimitroff, and T. Arndt, “An Intelligent Image Database System,” IEEE Trans. Software Eng., vol. 14, no. 5, pp. 681-688, May 1988.
[7] A.L.P. Chen, C.C. Liu, K.L. Lee, and C.C. Chen, “The Design of a Video Database System,” Proc. Real-Time and Media Systems Conf., 1995.
[8] T. Chiueh, “Content Based Image Indexing,” Proc. 20th Int'l Conf. Very Large Data Bases, pp. 582-593, Sept. 1994.
[9] J.J. Fan and K.Y. Su, “An Efficient Algorithm for Matching Multiple Patterns,” IEEE Trans. Knowledge and Data Eng., vol. 5, pp. 339-351, Dec. 1993.
[10] J.J. Fan and K.Y. Su, “The Design of Efficient Algorithms for Two-Dimensional Pattern Matching,” IEEE Trans. Knowledge and Data Eng., vol. 7, no. 2, pp. 318-327, Apr. 1995.
[11] S. Gibbs, C. Breiteneder, and D. Tsichritzis, “Audio/Video Database: An Object-Oriented Approach,” Proc. Int'l Conf. Data Eng., pp. 381-390, 1993.
[12] R. Hjelsvold and R. Midstraum, “Modeling and Querying Video Data,” Proc. 20th Very Large Data Bases Conf., pp. 686-694, 1994.
[13] D.E. Knuth, J.H. Morris, and V.R. Pratt, “Fast Pattern Matching in Strings,” SIAM J. Computing, vol. 6, pp. 323-350, June 1977.
[14] C.T. Kuo, Y.B. Lin, and A.L.P. Chen, “An Approach for Efficient Shot Change Detection on Compressed Video Data,” Proc. IEEE Int'l Workshop Multimedia Database Management Systems, 1996.
[15] C.T. Kuo and A.L.P. Chen, “A Content-Based Query Language for Video Databases,” Proc. IEEE Multimedia Systems Conf., 1996.
[16] S.Y. Lee, M.K. Shan, and W.P. Yang, “Similarity Retrieval of Iconic Image Database,” Pattern Recognition, vol. 22, no. 6, pp. 675-682, 1989.
[17] C.C. Liu and A.L.P. Chen, “Vega: A Multimedia Database System Supporting Content-Based Retrieval,” J. Information Science and Eng., vol. 13, no. 3, pp. 369-398, 1997.
[18] E. Oomoto, “Design and Implementation of a Video-Object Database System,” IEEE Trans. Knowledge and Data Eng., vol. 5, no. 4, pp. 629-643, Aug. 1993.
[19] E.G.M. Petrakis and S.C. Orphanoudakis, “Methodology for the Representation, Indexing and Retrieval of Images by Content,” Image and Vision Computing, vol. 11, no. 8, pp. 504-521, 1993.
[20] S.W. Smoliar and H.J. Zhang, “Content-Based Video Indexing and Retrieval,” IEEE Multimedia, vol. 1, no. 2, pp. 62-72, 1994.
[21] Y. Tonomura Need full authors “Structured Video Computing,” IEEE Multimedia, vol. 1, no. 3, pp. 34-43, Fall 1994.
[22] R. Weiss, A. Duda, and D.K. Gifford, “Content-Based Access to Algebraic Video,” Proc. Int'l Conf. Multimedia Computing and Systems, pp. 140-151, May 1994.
[23] R.F. Zhu and T. Takaoka, “A Technique for Two-Dimensional Pattern Matching,” Comm. ACM, vol. 32, no. 9, pp. 1110-1120, Sept. 1989.
[24] A. Biliris and E. Panagos, EOS Users` Guide, Release 2.2. AT&T Bell Laboratories, 1995.
[25] S.Y. Lee, M.K. Shan, and W.P. Yang, “Similarity Retrieval of Iconic Image Database,” Pattern Recognition, vol. 22, no. 6, pp. 675-682, 1989.
[26] N. Dimitrova and F. Golshani, “Motion Recovery for Video Content Classification,” ACM Trans. Information Systems, vol. 13, no. 4, pp. 408-439, 1995.
[27] T.T.Y. Wai and A.L.P. Chen, “Retrieving Video Data via Motion Tracks of Content Symbols,” Proc. ACM Int'l Conf. Information and Knowledge Management (CIKM), 1997.