Teaching

Neuroimaging in Pigs

Supervision Georg Langs, Yason Yee, Karl-Heinz Nenning The Institute of Animal Welfare Science at the University of Veterinary Medicine Vienna (Vetmeduni) is currently offering a short-term research opportunity for motivated students. The candidate should be motivated to learn computational methods for the analysis of magnetic resonance imaging (MRI) data of the brain in pigs. Project … Continue reading Neuroimaging in Pigs

Bee polls recognition and quantity estimation

Status: finishedSupervisor: Martin Kampel   Problem Statement In the project MIC-Cam a system for the automated detection of mites was developed. It monitors the bees by camera when departing and landing at the flight board of the bee hive to recognise attached mites in real time without restricting the bees. We apply innovative methods of digital … Continue reading Bee polls recognition and quantity estimation

Camera Pose Estimation for Video Shot Analysis

Status: available Supervisor: Daniel Helm, Martin Kampel Start: as soon as possible Problem Statement Automatic video content analysis is needed in many different domains such as historical film preservation or film archiving. Due to the enormous quantity of available visual media data, automatic approaches shall be used in order to find specific content in videos … Continue reading Camera Pose Estimation for Video Shot Analysis

Shot Type Classification: A fundamental base for automatic video analysis

Status: availableSupervisor: Daniel Helm, Martin Kampel Start: as soon as possible Problem Statement Automatic video content analysis is needed in many different domains such as historical film preservation or film archiving. Due to the enormous quantity of available visual media data, automatic approaches shall be used in order to find specific content in videos or … Continue reading Shot Type Classification: A fundamental base for automatic video analysis

Shadow Removal in Satellite Images

Status: taken Supervisor: Sebastian Zambanini Problem Statement Shadows cast in remote sensing images complicate their analysis due to the low contrast in the poorly illuminated image regions. Shadow removal/compensation methods aim at automatically reducing shadow effects, either by a physical or learning-based  model. Goal The goal of this work is to explore and examine methods … Continue reading Shadow Removal in Satellite Images

Automatic Triage of Photo Collections

Status: taken Supervisor: Sebastian Zambanini Problem Statement Photo triage is the process of grouping similar photos of a large collection and finally selecting the most preferred one in each group. Especially the selection of “the” best photo of a group is challenging as the relevant image features are not obvious to identify and heavily scene-dependent. … Continue reading Automatic Triage of Photo Collections

Layout Analysis and OCR of art exhibition catalogues

Status: open Supervisor: Markus Diem, Florian Kleber, Christina Bartosch (University of Vienna) Exhibition catalogues comprise information containing accompanying texts, name of the paintings, owner of the paintings, etc. An example image shown on this page illustrates a page of an catalogue comprising consecutive numbers, name of the paintings and owners, and the hall number. The … Continue reading Layout Analysis and OCR of art exhibition catalogues

Normalized Flowcytometry Representation of Blood Cell Populations of Children affected by Acute Leukaemia

Supervision Michael Reiter, Roxane Licandro Problem Statement Acute Leukaemia is a disease induce by genetic alterations of blood progenitor cells, which influences the blood generation process (haematopoiesis) and leads to the proliferation of undifferentiated (leukaemic) cells. Flow CytoMetry (FCM) measurements are used to reliably assess these cancer cells (blasts) and to quantify their ratio to … Continue reading Normalized Flowcytometry Representation of Blood Cell Populations of Children affected by Acute Leukaemia

Dermoscopic Image Analysis by Deep Learning

Status: available Supervisor: Michael Reiter, Christopher Pramerdorfer The purpose of this work is to classify sequences of dermatoscopy images as “changing” or “not changing”. The term “change” refers to a depicted mole or skin lesion, and a given sequence should be classified as “changing” if the depicted mole changes in a form that indicates  a tumor, not simply … Continue reading Dermoscopic Image Analysis by Deep Learning