2000
Estimating Proximity of Metric Ball Regions for Multimedia Data Indexing
AMATO, Giuseppe; Pavel ZEZULA; Fausto RABITTI a Pasquale SAVINOZákladní údaje
Originální název
Estimating Proximity of Metric Ball Regions for Multimedia Data Indexing
Autoři
AMATO, Giuseppe; Pavel ZEZULA; Fausto RABITTI a Pasquale SAVINO
Vydání
1. vyd. Berlin, Advances in Information Systems, s. 71-80, LNCS No.1909, 2000
Nakladatel
Springer
Další údaje
Jazyk
angličtina
Typ výsledku
Stať ve sborníku
Obor
10000 1. Natural Sciences
Stát vydavatele
Turecko
Utajení
není předmětem státního či obchodního tajemství
Kód RIV
RIV/00216224:14330/00:00002644
Organizační jednotka
Fakulta informatiky
ISBN
3-540-4118
UT WoS
000174113300007
Změněno: 19. 2. 2001 16:58, prof. Ing. Pavel Zezula, CSc.
Anotace
V originále
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.
Návaznosti
| MSM 143300004, záměr |
|