ATTENTION: This is a web archive! The IMS Group was split up in 2018 and does not exist anymore. Recent work of former members can be found at the VR/AR Group and the Computer Vision Group.

Interactive Media Systems, TU Wien

Text Understanding

Lab project in the area of Media Processing.

Keywords: Text Retrieval, Autmated Translation, Natural Language Processing.

About this Project

Text is a traditional source for information retrieval applications. At the IMS we develop solutions for selected (domain-specific) text understanding problems that are often inspired by our knowledge gained in the areas of audio processing and visual media analysis. Typical projects have to do with website understanding, processing of medical guidelines and plagiarism detection.

Topics & Tasks

Completed

0440 Vienna Academic Value for Money Ranking Develop an information retrieval component that feeds a web portal with the latest academic rankings + web data about the student fees of the ranked… H. Eidenberger Details
0414 Features of Business Success Identify the features that underlay business success. More specifically, develop an information retrieval solution that is able to predict the stock… H. Eidenberger Details
0402 Little Sister Confuses Big Brother Develop an artificial intelligence application that reads person-related information from social sites such as Facebook and search engines such as… H. Eidenberger Details
0391 E-book-based interactive language learning system Develop a tablet app that is able to display e-books (to be loaded, e.g. from epub files) and enhance them with grammar information, dictionary… H. Eidenberger Details
0379 Hyper Hyper Link Develop a Windows mouse pointer that extracts the text under the cursor in a ROI, performs OCR on the text window and executes a Google search on the… H. Eidenberger Details
0377 What does it mean? Clickless Smartphone Text Translator and Enricher Develop an Android app that does the following: Records an image with the camera, sends it to a server where it is OCR-read, translated to a… H. Eidenberger Details
0332 Stilometrie: Plagiate am Schreibstil erkennen Es soll ein Prototyp entwickelt werden, welcher es ermöglicht, markante Stiländerungen innerhalb eines Textes zu erkennen und hervorzuheben. Es… H. Eidenberger Details
0289 Speech Quality of Members of Parliament Analyse the quality of speeches of members of parliament in Austria. This topic requires 1. to retrieve the transcripts of speeches from the server… H. Eidenberger Details
0288 Web Portal for Political Memory Statements of politicians - though relevant - are often forgotten on the next day. This web portal should help to organize and memorize important… H. Eidenberger Details
0222 Pylometrie: Plagiate am Schreibstil erkennen Klassifikation von Textsegmenten anhand ihres Schreibstils (Satzlänge, Satzbau, Verwendung von Beifügungen, häufige Wörter etc.) und Beurteilung, ob… H. Eidenberger Details