| Full text | |
| Author(s): Show less - |
Rocha, Guilherme Muzzi
;
Capelo, Piero Lima
;
Carniel, Anderson Chaves
;
Aguiar, Cristina Dutra
;
Chiusano, S
;
Cerquitelli, T
;
Wrembel, R
;
Norvag, K
;
Catania, B
;
Vargas-Solar, G
;
Zumpano, E
Total Authors: 11
|
| Document type: | Journal article |
| Source: | NEW TRENDS IN DATABASE AND INFORMATION SYSTEMS, ADBIS 2022; v. 1652, p. 9-pg., 2022-01-01. |
| Abstract | |
An image data warehousing also manipulates image data represented by feature vectors and attributes for similarity search. In this paper, we study the impact of storing feature vectors on the performance of analytical queries extended with a similarity search predicate over images. We consider the management of huge data volumes. Thus, we use Spark as support. Experimental results showed that depending on the query characteristics and the data warehouse design, the difference in performance was up to 86.23%. Based on these results, we propose guidelines for storing feature vectors in relational image data warehouses. (AU) | |
| FAPESP's process: | 18/10607-3 - Analytical query processing on parallel and distributed environments |
| Grantee: | Guilherme Muzzi da Rocha |
| Support Opportunities: | Scholarships in Brazil - Master |
| FAPESP's process: | 18/22277-8 - Processing of OLAP and SOLAP Queries on Parallel and Distributed Environments |
| Grantee: | Cristina Dutra de Aguiar |
| Support Opportunities: | Regular Research Grants |