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@inproceedings{345208,
author = {Amato, Giuseppe and Zezula, Pavel and Rabitti, Fausto and Savino, Pasquale},
address = {Berlin},
booktitle = {Advances in Information Systems},
edition = {1.},
language = {eng},
location = {Berlin},
isbn = {3-540-4118},
pages = {71-80},
publisher = {Springer},
title = {Estimating Proximity of Metric Ball Regions for Multimedia Data Indexing},
year = {2000}
}
TY - JOUR
ID - 345208
AU - Amato, Giuseppe - Zezula, Pavel - Rabitti, Fausto - Savino, Pasquale
PY - 2000
TI - Estimating Proximity of Metric Ball Regions for Multimedia Data Indexing
VL - LNCS No.1909
PB - Springer
CY - Berlin
SN - 35404118
N2 - The problem of defining and computing proximity of regions constraining objects from generic metric spaces is investigated. Approximate, computationally fast, approach is developed for pairs of metric ball regions, which covers the needs of current systems for processing data through distances. The validity and precision of proposed solution is verified by extensive simulation on three substantially different data files. The precision of obtained results is very satisfactory. Besides other possibilities, the proximity measure can be applied to improve the performance of metric trees, developed for multimedia similarity search indexing. Specific system areas concern splitting and merging of regions, pruning regions during similarity retrieval, ranking regions for best case matching, and declustering regions to achieve parallelism.
ER -
AMATO, Giuseppe, Pavel ZEZULA, Fausto RABITTI a Pasquale SAVINO. Estimating Proximity of Metric Ball Regions for Multimedia Data Indexing. In \textit{Advances in Information Systems}. 1. vyd. Berlin: Springer, 2000, s.~71-80. LNCS No.1909. ISBN~3-540-4118.
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