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@article{ART002517110},
author={Bum-Soo Kim},
title={Index-based Boundary Matching Supporting Partial Denoising for Large Image Databases},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2019},
volume={24},
number={10},
pages={91-99},
doi={10.9708/jksci.2019.24.10.091}

TY - JOUR
AU - Bum-Soo Kim
TI - Index-based Boundary Matching Supporting Partial Denoising for Large Image Databases
JO - Journal of The Korea Society of Computer and Information
PY - 2019
VL - 24
IS - 10
PB - The Korean Society Of Computer And Information
SP - 91
EP - 99
SN - 1598-849X
AB - In this paper, we propose partial denoising boundary matching based on an index for faster matching in very large image databases. Attempts have recently been made to convert boundary images to time-series with the objective of solving the partial denoising problem in boundary matching. In this paper, we deal with the disk I/O overhead problem of boundary matching to support partial denoising in a large image database. Although the solution to the problem superficially appears trivial as it only applies indexing techniques to boundary matching, it is not trivial since multiple indexes are required for every possible denoising parameters. Our solution is an efficient index-based approach to partial denoising using R*-tree in boundary matching. The results of experiments conducted show that our index-based matching methods improve search performance by orders of magnitude.
KW - Boundary matching;Partial denoising;Time-series data;Time-series matching;Indexing
DO - 10.9708/jksci.2019.24.10.091
ER -

Bum-Soo Kim. (2019). Index-based Boundary Matching Supporting Partial Denoising for Large Image Databases. Journal of The Korea Society of Computer and Information, 24(10), 91-99.

Bum-Soo Kim. 2019, "Index-based Boundary Matching Supporting Partial Denoising for Large Image Databases", Journal of The Korea Society of Computer and Information, vol.24, no.10 pp.91-99. Available from: doi:10.9708/jksci.2019.24.10.091

Bum-Soo Kim "Index-based Boundary Matching Supporting Partial Denoising for Large Image Databases" Journal of The Korea Society of Computer and Information 24.10 pp.91-99 (2019) : 91.

Bum-Soo Kim. Index-based Boundary Matching Supporting Partial Denoising for Large Image Databases. 2019; 24(10), 91-99. Available from: doi:10.9708/jksci.2019.24.10.091

Bum-Soo Kim. "Index-based Boundary Matching Supporting Partial Denoising for Large Image Databases" Journal of The Korea Society of Computer and Information 24, no.10 (2019) : 91-99.doi: 10.9708/jksci.2019.24.10.091

Bum-Soo Kim. Index-based Boundary Matching Supporting Partial Denoising for Large Image Databases. Journal of The Korea Society of Computer and Information, 24(10), 91-99. doi: 10.9708/jksci.2019.24.10.091

Bum-Soo Kim. Index-based Boundary Matching Supporting Partial Denoising for Large Image Databases. Journal of The Korea Society of Computer and Information. 2019; 24(10) 91-99. doi: 10.9708/jksci.2019.24.10.091

Bum-Soo Kim. Index-based Boundary Matching Supporting Partial Denoising for Large Image Databases. 2019; 24(10), 91-99. Available from: doi:10.9708/jksci.2019.24.10.091

Bum-Soo Kim. "Index-based Boundary Matching Supporting Partial Denoising for Large Image Databases" Journal of The Korea Society of Computer and Information 24, no.10 (2019) : 91-99.doi: 10.9708/jksci.2019.24.10.091