Efficient adaptive retrieval and mining in large multimedia databases
| dc.contributor.author | Assent, Ira | |
| dc.contributor.editor | Freytag, Johann-Christoph | |
| dc.contributor.editor | Ruf, Thomas | |
| dc.contributor.editor | Lehner, Wolfgang | |
| dc.contributor.editor | Vossen, Gottfried | |
| dc.date.accessioned | 2019-02-20T10:28:13Z | |
| dc.date.available | 2019-02-20T10:28:13Z | |
| dc.date.issued | 2009 | |
| dc.description.abstract | Multimedia databases are increasingly common in science, business, entertainment and many other applications. Their size and high dimensionality of features are major challenges for efficient and effective retrieval and mining. Effective similarity models | en |
| dc.identifier.isbn | 978-3-88579-238-3 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/20463 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | Datenbanksysteme in Business, Technologie und Web (BTW) – 13. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS) | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-144 | |
| dc.title | Efficient adaptive retrieval and mining in large multimedia databases | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 437 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 428 | |
| gi.conference.date | 2.-6. März 2009 | |
| gi.conference.location | Münster | |
| gi.conference.sessiontitle | Regular Research Papers |
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