Marten, Dennis and Meyer, Holger and Heuer, Andreas (2019) Calculating Fourier Transforms in SQL. In: ADBIS 2019, 08-11 Sep 2019, Bled, Slowenien.
Full text not available from this repository.Abstract
The Fourier transform is an important tool for analyzing, transforming and searching multi-media content in databases. SQL is the lingua franca for querying structured data. Implementing the Discrete Fourier Transform (DFT) in SQL itself has several benefits. The DFT can directly be executed in the database system. It can be reused for several, different content processing steps from feature extraction to query transformation and evaluation. We not only discuss different algorithmic aspects but also do a performance evaluation on top of different database systems of different architectures, i.e. row and column stores. The SQL-based implementation is also compared to a Python-based implementation on the client side. There is no variant that always performs best.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Autorenart > DBIS-Publikationen Rahmenprojekte > PArADISE |
| Depositing User: | Auge |
| Date Deposited: | 23 Sep 2019 08:03 |
| Last Modified: | 23 Sep 2019 08:03 |
| URI: | https://eprints.dbis.informatik.uni-rostock.de/id/eprint/1000 |
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