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http://dx.doi.org/10.3745/KIPSTD.2003.10D.3.501

Similarity-Based Subsequence Search in Image Sequence Databases  

Kim, In-Bum (김포대학 컴퓨터계열)
Park, Sang-Hyun (포항공과대학교 컴퓨터공학과)
Publication Information
The KIPS Transactions:PartD / v.10D, no.3, 2003 , pp. 501-512 More about this Journal
Abstract
This paper proposes an indexing technique for fast retrieval of similar image subsequences using the multi-dimensional time warping distance. The time warping distance is a more suitable similarity measure than Lp distance in many applications where sequences may be of different lengths and/or different sampling rates. Our indexing scheme employs a disk-based suffix tree as an index structure and uses a lower-bound distance function to filter out dissimilar subsequences without false dismissals. It applies the normaliration for an easier control of relative weighting of feature dimensions and the discretization to compress the index tree. Experiments on medical and synthetic image sequences verify that the proposed method significantly outperforms the naive method and scales well in a large volume of image sequence databases.
Keywords
Similarity Search; Image Sequence Database; Time Warping; Suffix Tree; Index;
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