Zeugnis 183.583 9.0/6.0 PR WS/SS: Praktikum aus Visual Computing oder 183.582 10.0/5.0 PR WS/SS: Bachelorarbeit für Informatik und Wirtschaftsinformatik Inhalt Lösung vorwiegend praktischer Aufgaben der Informatik unter Einsetzung wissenschaftlicher Methoden. Hierzu gehört insbesondere die Methodenauswahl und die Diskussion von Lösungsansätzen, die im Rahmen des Praktikums dokumentiert werden sollen. Weiters dienen die Praktika der Vorbereitung einer … Continue reading Allgemeine Hinweise zu Bachelorarbeiten und Praktikas →
Status: availableSupervisor: Martin Kampel Start: as soon as possible 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 … Continue reading Bee polls recognition and quantity estimation →
Status: available Supervisor: Roman Pflugfelder There is the opportunity for a payment by Problem Statement Cell detection and cell tracking are important tasks in bioimaging. Bioimaging is currently radically transforming microbiology as terabytes of image data of modern microscopy needs an automatic or semi-automatic approach to efficient experimentation. With the advent of a new revolutionary gene … Continue reading Detection, Segmentation and Tracking of Cells →
Status: available Supervisor: Robert Sablatnig and Roman Pflugfelder Problem Statement Visual tracking has been tackled conceptually in terms of the underlying subproblems of visual description and correspondence of objects rather independent of the camera. However, visual tracking has less been seen technically in terms of available sensors and computational resources. Modern sensors have remarkable abilities e.g. CMOS windowing, … Continue reading Object Tracking with Non-Traditional Cameras →
Status: available Supervisor: Roman Pflugfelder Problem Statement Visual tracking is a foundational building block in almost every application from cell tracking in bioimaging, to object perception in robotic systems, to localisation in user-centric computing. Visual tracking is fascinating as it is unsolved, it is hard as it combines several difficult problems such as visual representation, adaptation … Continue reading Deep Visual Tracking →
Status: availableSupervisor: Simon Brenner Before continuing to read we strongly recommend to let this play in the background: https://www.youtube.com/watch?v=-bTpp8PQSog Introduction Uncountable ancient manuscripts lie in archives, libraries, monastaries and haunted tombs around the world. Unfortunately, the centuries took their toll: due to unsuitable storage conditions, fire- or water damage, clumsy librarians or the recycling of … Continue reading Raiders of the Lost Writings – Investigating Ancient Manuscripts →
Status: in progress Supervisor: Martin Kampel Problem Statement & Goal Neuroblastomas are one of the most common tumours in infancy. In the course of every examination, every blood test and every biopsy, information is collected in the form of measured values, images or genetic codes. Very valuable data, if evaluated and interpreted. However, the enormous quantity … Continue reading visiomics →
Problem Statement Status: availableSupervisor: Martin Kampel Start: as soon as possible Facial analysis, face recognition or facial similarity search has been a very well-known topic in computer vision for many, many years. Today we have mobile solutions as well as large datasets for comparing and analysing face images with varying accuracy. Input data might be … Continue reading Face Similarity Search →
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 →
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 Camera Movement Classification: A fundamental base for automatic video analysis →
