392168 Underwater Image Understanding (Pj) (SoSe 2017)
Contents, comment
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Mit Hilfe der in Bielefeld entwickelten Software BIIGLE (https://ani.cebitec.uni-bielefeld.de/biigle/) steht ein webbasiertes Tool zur Annotation von maritimen Bildern zur Verfügung. Es wurde bisher unter anderem genutzt um ein System zur computergestützten, d.h. halb-automatischen Detektion von Tiefsee-Objekten (Tiere, Pflanzen, Manganknollen, ...) zu entwickeln. Im Rahmen des Projekts soll das bisher vorhandene System auf neue Daten angepasst sowie mit neuen Funktionen erweitert werden. Hierbei sind offene Forschungsfragen aus den Bereichen Datamining, Segmentierung und Bildverarbeitung sowie Datenbanken, Visualisierung und maschinellem Lernen zu klären.
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Requirements for participation, required level
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Kenntnisse in mindestens einer der Sprachen C/C++, PHP, JavaScript sowie Interesse an Datamining, Segmentierung, Bildverarbeitung, Datenbanken, Visualisierung oder maschinellem Lernen sind erforderlich.
Teaching staff
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-M-Inf-P Projekt | Projekt | Ungraded examination
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Student information |
| 39-M-Inf-P1_NWI Projekt 1 | Projekt 1 | Ungraded examination
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Student information |
| 39-M-Inf-P2_NWI Projekt 2 | Projekt 2 | Ungraded examination
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Student information |
| 39-M-Inf-P_BI Projekt Bioinformatik | Projekt | Ungraded examination
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Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
Erfolgreiche Bearbeitung einer Teilaufgabe des Projektes, eine Abschlusspräsentation und eine schriftliche Dokumentation. Teilnahme an wöchentlichen Treffen zur Vorstellung der Fortschritte.
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- Last update basic details/teaching staff:
- Tuesday, January 24, 2017
- Last update times:
- Tuesday, January 24, 2017
- Last update rooms:
- Tuesday, January 24, 2017
- Type(s) / SWS (hours per week per semester)
- Pj / 2
- Department
- Faculty of Technology
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