Color Chart Detection and Calibration

Status: closed Supervisors: Markus Diem, Florian Kleber, and Fabian Hollaus Problem Statement Historical documents are often scanned or photographed to publish facsimile editions. Thus, it is important to know the exact scale of the image, and the correct color information. With this information, the document can be reproduced in such a manner that the dimension and color of … Continue reading Color Chart Detection and Calibration

Frailty detection of elderly people

Status: assigned Supervisors: Rainer Planinc, Sebastian Zambanini Problem Statement The frailty of elderly people is a big risk, when living independently. Frailty often leads to falls and injuries resulting from a fall. Hence, the level of frailty is an important indicator to assess the risk of falling and provide countermeasures already at an early stage. … Continue reading Frailty detection of elderly people

Development: Fair Non-Repudiation – System Integration

Status: open Supervisor: Alois Paulin Problem Statement Fair non-repudiation (FNR) is about ensuring communication between two participating parties in which each party can non-repudiably prove that the other party has participated in the message exchange. System-level support for such feature as of now does not yet exist. Goal The goal of the Master thesis is to develop a system service for a … Continue reading Development: Fair Non-Repudiation – System Integration

Classification System: Directions of e-Governance Research

Status: open Supervisor: Alois Paulin Problem Statement e-Governance research and development activities are targeting an emerging trans-disciplinary field of science, which is yet in its pioneering stages. Technical contributions to this field are challenged by a lack of clarity of research directions and often take a following- rather than a leading role in the development of this field. A clearly structured research … Continue reading Classification System: Directions of e-Governance Research

Comparison: Fine-Grained-Access Control to Governance Data in Relational Databases

Status: open Supervisor: Alois Paulin Problem Statement Competing technologies address the challenge to provide dynamic multi-stakeholder access tailored to fit the context of the request for data and the identity of the requester. This so-called fine-grained-access control can be utilised for disruptive governance technology allowing for low-level access to governance data. The objective of this study is to identify … Continue reading Comparison: Fine-Grained-Access Control to Governance Data in Relational Databases

Document Understanding

Status: open Supervisors: Florian Kleber, Markus Diem, Stefan Fiel Problem Statement Analysis of the logical layout of documents allows for assigning the content of a document image into a marked-up electronic representation on which higher-level functionality, liked advanced searches (e.g. limiting search to titles, fetching all document images with one specific layout), can be developed. … Continue reading Document Understanding

Document Image Dewarping and AutoCrop

Status: open Supervisors: Florian Kleber, Markus Diem and Stefan Fiel Problem Statement Current Document Image Analysis (DIA) frameworks have also to deal with photographed images, which can originate from DSLR cameras or even from smartphones. Typically, the images are not taken within a defined aquisition setup and thus can have perspective distortions and an uneven … Continue reading Document Image Dewarping and AutoCrop

Pattern Matching of Burglary Tools

Status: open Supervisors:Florian Kleber, Stefan Fiel and Manuel Keglevic Problem Statement Within the project FORMS the traces of burglary tools are analyzed and compared with a database. One the one hand traces of burglary tools of different crime scences can be compared. This is done to identify series burglar. On the other hand the comparison is done … Continue reading Pattern Matching of Burglary Tools

Table Detection in Document Images

Status: open Supervisors: Florian Kleber, Markus Diem Problem Statement Documents can contain tables, which can be placed everywhere within a document page, and a have a regular structure. The detection and analyis of tables is a part of current Document Image Analysis (DIA) systems. The detection of tables is of interest, since tables normally contain specific … Continue reading Table Detection in Document Images