Department of Computational Perception
Department of
Computational Perception
Johannes Kepler Universität Linz


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Mögliche Themen für Praktika und Diplomarbeiten

Vorbemerkung

Die folgenden Themen sind nach Typ (PR = Projektpraktikum, Praktikum aus Informatik oder Praktikum aus Pervasive Computing; DA = Diplomarbeit) geordnet. Diese Typen sind aber nur als grobe Richtschnur gedacht. Manche Praktika sind auch zur Durchführung in Gruppen geeignet, und Praktikumsthemen können auch zu Diplomarbeiten ausgebaut werden.

Wir sind außerdem jederzeit für neue Themenvorschläge offen – wenn Sie an einer Frage interessiert sind, die Sie im Rahmen eines Praktikums oder einer Diplomarbeit bearbeiten wollen, dann melden Sie sich!

Beispiele für mögliche weitere Themen:

Music Information Retrieval

Feature Extraction, Similarity Measures, Playlist Generation


Typ Thema Betreuer

PR
DA
Investigating modern interpretations of traditional (medieval) music M. Schedl
B. Niedermayer
PR
DA
Discriminating Speech and Singing Voice
K. Seyerlehner
PR C++ implementation of factorization-based features A. Arzt
B. Niedermayer
PR Investigating Skew- and Log-Normal-Distributions to Model Music Similarity T. Pohle
PR Implementing various context-based music similarity approaches M. Schedl
P. Knees
PR Automatic Tagging and Organizing Music Collections using Audio Fingerprinting Technology M. Schedl

Intelligent User Interfaces and Information Visualization


Typ Thema Betreuer

PR 3D User Interfaces to Music Collections for the Android Platform (see heise.de news and android-ndk blog) M. Schedl
PR
DA
Personalized Music Player (stand-alone or plugin for WinAmp, Banshee, AmaroK, or similar) M. Schedl
PR C++ implementation of Data Projection and Visualization Methods (SOM, SDH, MDS) M. Schedl
PR Implementing a 3D multimedia user interface to browse collections of (music-related) Web pages. M. Schedl
PR Amalgamating nepTune and WorldWind: Implementing a 3D user interface for browsing large music collections. M. Schedl
PR
DA
User-adaptive User Interfaces to Music Collections M. Schedl
PR
DA
Musikplayer mit Echtzeitvisualisierung von Notentext (basierend auf unserem real-time Audio-Tracking-Algorithmus) S. Flossmann
G. Widmer
PR Exploring Music Collections in Virtual Reality Environments (in Cooperation with VRC)
P. Knees
M. Schedl
PR
DA
Chorus/Song Structure Detection (Implementation of a Software mp3-Player Plugin) B. Niedermayer

Real-Time Music Understanding


Typ Thema Betreuer

PR The On-Line Performance Worm: Visualising Expressive Music Performance in Real Time via our Automatic Audio Tracker A. Arzt
G. Widmer
DA Real-time Identification of Musical Motives in Audio Streams. A. Arzt
G. Widmer
PR
DA
The Vocal Joystick: Controlling Video Games by "Singing" A. Arzt
G. Widmer
PR Stream-based Score-Performance Alignment S. Flossmann
PR
DA
An Interactive Tool for Reconstructing Music Scores from MIDI Files G. Widmer
PR Prediction of Sustain Pedal Use in Expressive Piano Performances by Machine Learning S. Flossmann
PR Estimating single-pitch velocities from harmonic mixtures B. Niedermayer
PR Adding Computational Intelligence to Disc-JoQey: A Semi-Automatic Application to Segment and Tag Recordings from Vinyls P. Knees

Music Context and User Context Understanding, Web and Social Mining, Personalization


Typ Thema Betreuer

DA User Profiling, Models for user context-based music similarity estimation M. Schedl
PR
DA
Popular Artist/Song Detection M. Schedl
PR Information Aggregation (e.g. from RSS-feeds, Blogs, Social Networks, ...) to build a Personalized Music News-System M. Schedl
PR
DA
Assessing the power of YouTube for music/multimedia information retrieval (tags, user discussions, playlists, image previews of related videos, recommendations, ...) M. Schedl
PR
DA
Extracting and comparing Web-based/collaborative filtering-based artist similarities across different (Web 2.0) platforms/services (e.g., last.fm, allmusic.com, myspace, Amazon, Yahoo! Music, ...) M. Schedl
PR
DA
Extracting and Visualizing Relations from Music-related Web pages (band members, albums, songs, ...) M. Schedl
PR Adaptive query reformulation strategies for Web-based MIR M. Schedl
P. Knees
PR
DA
Novelty Detection for MIR via Web Information Extraction (bands, album releases, ...) M. Schedl
PR
DA
An Efficient Focused Crawler in Java for Music-related, Large Scale Web Crawling M. Schedl
P. Knees
PR
DA
Analyzing the Potential of Web Page Segmentation to Improve Text-based Artist Similarity Measures (in Java) P. Knees
PR
DA
Image Retrieval for Music-related Images (Band Pictures, Album Covers, Logos, ...) M. Schedl
PR Finding correlations of image properties and artists/genres M. Schedl
PR Evaluating various Web-based music information systems (w.r.t. functionality, usability, interfaces, ...) M. Schedl

Web Mining (General)

Typ Thema Betreuer

PR
DA
Automatic analysis of bookmarks to create a user model  for Web page recommendation M. Schedl
PR Automatische Erzeugung von Literaturlisten (BibTeX) aus PDFs (per Web Content Mining) B. Niedermayer
M. Schedl
PR Implementing Visual Web Page Segmentation in Java P. Knees
    

Bild- und Sprachverarbeitung, Biometrie

Typ Thema Betreuer

PR
(DA)
Personenerkennung durch Silhuette-basierte Ganganalyse J. Scharinger
PR
DA
Chamfer Matching J. Scharinger
PR
DA
Geometric Hashing Schemes J. Scharinger
PR
DA
Watermarking für digitale Bilder J. Scharinger
PR
DA
CBIR - Content Based Image Retrieval J. Scharinger
PR Multiskalen-Strategien zur Segmentierung J. Scharinger
PR Kantenerhaltende Bildglättung mit Diffusionsfiltern J. Scharinger
PR Shape from Contour J. Scharinger
PR Lighting Compensation J. Scharinger
PR
Optical Flow Estimation J. Scharinger
PR
DA
Audio Watermarking J. Scharinger
PR
DA
Matching von Minutien J. Scharinger
PR
DA
3D Gesichtserkennung J. Scharinger
PR
DA
3D Ohrerkennung J. Scharinger
PR
DA
Active Appearance Models for Face Recognition J. Scharinger
PR
DA
Synthetic Fingerprint Generation J. Scharinger
PR
DA
Farb-/Texturbasierte Hauterkennung J. Scharinger
DA
Multimodale Spracherkennung J. Scharinger
DA SIFT (und andere invariante, z.B. GLOH) Detektoren für DSSS Watermarking J. Scharinger
PR
DA
Gestenerkennung mittels PCA J. Scharinger
PR
DA
Wavelet-basierte Kompression kanonischer Gesichtsbilder J. Scharinger
PR
DA
Signature Verification J. Scharinger

Miscellaneous

Typ Thema Betreuer

DA The "Real" Guitar Hero - Online Chord Verification within a Computer Game B. Niedermayer
PR
Improving the performance of CoMIRVA: e.g. faster implementation of a data matrix, evaluating libraries for numeric mathematics M. Schedl
PR A Comprehensive User Manual for CoMIRVA M. Schedl
PR
Implementation of a Statistical Data Editor and an Intuitive Colormap Editor for CoMIRVA in Java
M. Schedl
DA Brain Computer Interface J. Scharinger
C. Guger
DA Realisierung eines Brain Computer Interfaces mit Aktionspotentialen J. Scharinger
C. Guger
DA Realisierung eines Rehabilitation Gaming System J. Scharinger
C. Guger


Fragen etc. an

Für inhaltliche Fragen zu den Themen, kontaktieren Sie bitte direkt den/die entsprechenden Betreuer. Zu allen anderen Fragen (organisatorische, etc.), kontaktieren Sie bitte eine der folgenden Personen.

Gerhard Widmer
Tel. 2468-1510


Josef Scharinger

Tel. 2468-8898


Markus Schedl

Tel. 2468-1512



last edited by ms at 2010-03-11