Browse > Article
http://dx.doi.org/10.3745/KIPSTD.2004.11D.4.823

Similarity Search Algorithm Based on Hyper-Rectangular Representation of Video Data Sets  

Lee, Seok-Lyong (한국외국어대학교 산업정보시스템공학부)
Publication Information
The KIPS Transactions:PartD / v.11D, no.4, 2004 , pp. 823-834 More about this Journal
Abstract
In this research, the similarity search algorithms are provided for large video data streams. A video stream that consists of a number of frames can be expressed by a sequence in the multidimensional data space, by representing each frame with a multidimensional vector By analyzing various characteristics of the sequence, it is partitioned into multiple video segments and clusters which are represented by hyper-rectangles. Using the hyper-rectangles of video segments and clusters, similarity functions between two video streams are defined, and two similarity search algorithms are proposed based on the similarity functions algorithms by hyper-rectangles and by representative frames. The former is an algorithm that guarantees the correctness while the latter focuses on the efficiency with a slight sacrifice of the correctness Experiments on different types of video streams and synthetically generated stream data show the strength of our proposed algorithms.
Keywords
Video Search; Multidimensional Sequence; Similarity Measure;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 S. Berchtold, D. Keim, H. Kriegel, 'The X-tree : an index structure for high-dimensional data,' Proc. of Int'l Conference on VLDB, India, pp.28-39, 1996
2 M. Fickner, H. Sawhney, W. Niblack, J. Ashley, Q. Huang, B. Dom, M. Gorkani, J. Hafner, D. Lee, D. Petkovic, D. Steele, P. Yanker, 'Query by Image and Video Content : The QBIC System,' IEEE Computer, Vol.28, No.9, pp.23-32, 1995   DOI   ScienceOn
3 A. Guttman, 'R-trees : a dynamic index structure for spatial searching,' Proc. of ACM SIGMOD, Massachusetts, pp.47-57, 1984
4 A. K. Jain, A. Vailaya, X. Wei, 'Query by Video Clip,' Multimedia Systems, Vol.7, pp.369-384, 1999   DOI
5 C. Faloutsos, M. Ranganathan, Y. Manolopoulos, 'Fast Subsequence Matching in Time-Series Databases,' Proc. of ACM SIGMOD, Minnesota, pp.419-429, 1994   DOI   ScienceOn
6 H. J. Zhang, J. Wu, D. Zhong, S. W. Smoliar, 'An Integrated System for Content-Based Video Retrieval and Browsing,' Pattern Recognition, Vol.30, pp.643-653, 1997   DOI   ScienceOn
7 John Chung-Mong Lee, Qing Li, and Wei Xiong, 'VIMS : A Video Information Management System,' Multimedia Tools and Applications, Vol.4, No.1, pp.7-28, 1997   DOI   ScienceOn
8 Virginia E. Ogle and Michael Stonebraker, 'Chabot : Retrieval from a Relational Database of images,' IEEE Computer, Vol.28, No.9, pp.40-48, 1995   DOI   ScienceOn
9 J. R. Smith, S. F. Chang, 'VisualSEEk : A Fully Automated Content-based Image Query System,' Columbia University, URL : http://www.ctr.columbia/VisualSEEk
10 D. Rafiei, A. Mendelzon, 'Similarity-Based Queries for Time Series Data,' Proc. of ACM SIGMOD, Arizona, pp.13-25, 1997   DOI   ScienceOn
11 S. L. Lee, S. J. Chun, D. H. Kim, J. H. Lee, C. W. Chung, 'Similarity Search for Multidimensional Data Sequences,' Proc. of IEEE Int'l Conference on Data Engineering, California, pp.599-608, 2000   DOI
12 N. Beckmann, H. Kriegel, R. Schneider, B. Seeger, 'The $R^*$-tree : an efficient and robust access method for points and rectangles,' Proc. of ACM SIGMOD, New Jersey, pp.322-331, 1991
13 R. Agrawal, C. Faloutsos, A. Swami, 'Efficient Similarity Search in Sequence Databases,' Proc. of Foundations of Data Organizations and Algorithms, Illinois, pp.69-84, 1993
14 E. J. Keogh, K. Chakrabarti, S. Mehrotra, M. J. Pazzani, 'Locally Adaptive Dimensionality Reduction for Indexing Large Time Series Databases,' Proc. of ACM SIGMOD, California, pp.151-162, 2001
15 A. Hampapur, A. Gupta, B. Horowitz, C. F. Shu, C. Fuller, J. Bach, M. Gorkani, R. Jain, 'Virage Video Engine,' Proc. of SPIE : Storage and Retrieval for Image and Video Databases V, San Jose, pp.188-197, 1997   DOI
16 N. Katayama, S. Satoh, 'The SR-tree : an index structure for high-dimensional nearest neighbour queries,' Proc. of ACM SIGMOD, Arizona, pp.369-380, 1997
17 Y. Taniguchi, A. Akutsu, Y. Tonomura, 'PanoramaExcerpts : Extracting and Packing Panoramas for Video Browsing,' Proc. of ACM Multimedia, Washington, pp.427-436, 1997   DOI
18 B. K. Yi, C. Faloutsos, 'Fast Time Sequence Indexing for Arbitary Lp Norms,' Proc. of Int'l Conference on VLDB, Cairo, pp.385-394, 2000
19 J. H. Oh, K. A. Hua, 'Efficient and Cost-effective Techniques for Browsing and Indexing Large Video Databases,' Proc. of ACM SIGMOD, pp.415-426, Dallas, 2000   DOI
20 S. W. Kim, S. H. Park, W. W. Chu, 'An Index-Based Approach for Similarity Search Supporting Time Warping in Large Sequence Databses,' Proc. of IEEE Int'l Conference on Data Engineering, 2001, pp.607-614   DOI
21 S. L. Lee, C. W. Chung, 'Hyper-Rectangle Based Segmentation and Clustering of Large Video Data Sets,' Information Sciences, Vol.141, No.1-2, pp.139-168, 2002   DOI   ScienceOn