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Publications

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Peer Reviewed Conference Papers

Skin Detection: A Random Forest Approach

Rehanulla Khan, Allan Hanbury, Julian Stöttinger, Proceedings of the International Conference on Image Processing (ICIP), Hong Kong, China, September 26-29, 2010, to appear.

FeEval - A dataset for evaluation of spatio-temporal local features

Julian Stöttinger, Sebastian Zambanini, Rehanulla Khan, Allan Hanbury, Proceedings of the 20th International Conference on Pattern Recognition (ICPR), Istanbul, Turkey, August 23-26, 2010, to appear.

Augmentation of Skin Segmentation

Rehanulla Khan, Allan Hanbury, Julian Stöttinger, Proceedings of the 14th International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV), Las Vegas, NV, July 12-15, 2010, to appear.

Efficient and Distinct Large Scale Bags of Words

Thomas Pönitz, René Donner, Julian Stöttinger, Allan Hanbury, 34th annual workshop of the Austrian Association for Pattern Recognition (AAPR), May 27-28, Zwettl, Austria, 2010.

Scale Invariant Dissociated Dipoles

Marco Vanossi, Julian Stöttinger, 34th annual workshop of the Austrian Association for Pattern Recognition (AAPR), May 27-28, Zwettl, Austria, 2010.

Weighted Skin Color Segmentation and Detection Using Graph Cuts

Rehanulla Khan, Allan Hanbury, Julian Stöttinger, Proceedings of the 15th Computer Winter Workshop (CVWW), Nové Hadry, Czeck Republic, February 3-5, 2010.

Skin Paths for Contextual Flagging Adult Videos

Julian Stöttinger, Allan Hanbury, Christian Liensberger, Rehanulla Khan, Proceedings of the 5th International Symposium on Visual Computing (ISVC), Las Vegas, NV, Nov 30 - Dec 2, 2009. [presentation] [bibtex]

Color-Based and Context-Aware Skin Detection for Online Video Annotation

Christian Liensberger, Julian Stöttinger, Martin Kampel, Proceedings of the IEEE 2009 International Workshop on Multimedia Signal Processing, Rio de Janeiro, Brazil, October 5-7, 2009. [poster] [bibtex]

Translating Journalists' Requirements into Features for Image Search

Julian Stöttinger, Jana Banova, Thomas Pönitz, Nicu Sebe and Allan Hanbury, Proceedings of the 15th International Conference on Virtual Systems and Multimedia VSMM 2009, Vienna, Austria, September 9-12, 2009. [presentation] [bibtex]

Lonely but Attractive: Sparse Color Salient Points for Object Retrieval and Categorization

Julian Stöttinger, Allan Hanbury, Theo Gevers and Nicu Sebe, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Workshop on Feature Detectors and Descriptors: The State Of The Art and Beyond, Miami, Florida, USA, June 20, 2009, pp 1-8. [presentation] [suppl. material] [bibtex]

Color-Based Skin Detection and its Application in Video Annotation

Christian Liensberger, Julian Stöttinger and Martin Kampel, Proceedings of the 14th Computer Winter Workshop (CVWW), Eibiswald, Austria, 2009.

Evaluation of Gradient Vector Flow for Interest Point Detection

Julian Stöttinger, René Donner, Lech Szumilas, Allan Hanbury, Proceedings of the 4th International Symposium on Visual Computing (ISVC), Las Vegas, Nevada, USA, December 1-3, 2008.

On Segmentation Evaluation Metrics and Region Counts

Allan Hanbury and Julian Stöttinger, Proceedings of the 19th International Conference on Pattern Recognition (ICPR), Tampa, Florida, USA, December 8-11, 2008.

An Adaptive Multiple Model Approach for Fast Content-Based Skin Detection in On-Line Videos

Rehanullah Khan, Julian Stöttinger and Martin Kampel, Proceedings of the ACM International Conference on Multimedia (MM), 1st ACM International Workshop in Analysis and Retrieval of Events/Actions and Workflows in Video Streams (AREA 2008), Vancouver, Canada, October 31, 2008, pp 89-95.

Introducing 3D Vision and Computer Graphics to Archaeological Workflow

Hubert Mara, Andreas Monitzer and Julian Stöttinger, Proceedings of the 3rd International Conference on Computer Vision Theory and Applications (VISAPP 2008), Funchal, Madeira, Portugal, 22 - 25 January, 2008. [bibtex] [poster] [pics]

Do Colour Interest Points Improve Image Retrieval?

Julian Stöttinger, Allan Hanbury, Nicu Sebe and Theo Gevers, Proceedings of the 14th IEEE International Conference on Image Processing (ICIP 2007), San Antonio , Texas, September 16-19, 2007, pp. 169-172. [bibtex] [presentation]

Colour Interest Points for Image Retrieval

Julian Stöttinger, Nicu Sebe, Theo Gevers and Allan Hanbury, Proceedings of the 12th Computer Vision Winter Workshop (CVWW 2007), St. Lambrecht, Austria, February 6-8, 2007, pp. 83-91.  [bibtex] [presentation]

Not Reviewed Articles

Ordnung in die Bilderflut - Arbeitsweise von Content-Based Image Retrieval Systemen

Julian Stöttinger und Allan Hanbury. In: Michael A. Herzog (Hersg.) Prozessgestaltung in der Medienproduktion. Neue Geschäftsmodelle und Technologien für Mobile Protale und HD Broadcast. Gito Verlag. Seite 103 - 115, 2009.
Get it from Amazon.

The MUSCLE Live Image Retrieval Evaluation Event

Allan Hanbury, Branislav Micusik, Julian Stöttinger. Report of the image retrieval evaluation event held at the CIVR2007, Amsterdam.

Overview of the ImageCLEF 2007 Object Retrieval Task

T. Deselaers, A. Hanbury, V. Viitaniemi, A. Benczúr, M. Brendel, B. Daróczy, E. Balderas, H. Jair, T. Gevers, H. Gracidas, C. Arturo, S. C. H. Hoi, J. Laaksonen, M. Li and M. Castro, H. Marisol, H. Ney, X. Rui, N. Sebe, J. Stöttinger and L. Wu, Working notes of the CLEF 2007 Workshop, Budapest, Hungary, September 19-21, 2007. [bibtex]

Local Colour Features for Image Retrieval

Stöttinger, Julian, Master Thesis, Technische Universität Wien, Fakultät für Informatik, Institut für Rechnergestützte Automation (Automatisierungssysteme. Mustererkennung), 2007. [poster] [presentation]
I received the PRIP Preis 2007 for my thesis! [presentation]
Yes, you can buy it on Amazon!

High Performance Profile Line Generation and Visualization using OpenGL

Julian Stöttinger, Technical Report Nr. 108, PRIP, TU Wien. 2007. [bibtex]

Other Activities

CVPR benchmark on Features and Detectors

Color Points best in 4 out of 20 classes!

Object Recognition Showcase

Leader: Nicu Sebe, UVA
Partners: TU Vienna-PRIP (Allan Hanbury, Julian Stottinger)
INRIA-IMEDIA (Jaume Amores, Nozha Boujemaa)
presented at the CIVR 2007, Amsterdam and the IBC 2007.
Object Categorisation with Color Interest Points
Julian Stöttinger, Jaume Amores, Nicu Sebe, Allan Hanbury, Nozha Boujemaa, Theo Gevers [screenshots]

The CLEF Cross Language Image Retrieval Track (ImageCLEF) 2007
Object Retrieval Task - 7th out of 26 overall rank and best in cat recognition :)

Cosamed

Reliable and automated computer vision system to enable an independent lifestyle for the elderly and disabled. In contrast to other projects, the system relies solely on computer vision techniques. The daily lives of the people involved will not be affected and it overcomes many problems of existing systems. Main goal is the robust fall detection of elderly people. Since the detection set-up consists basically of IP based cameras and a central storage and calculation server, the system is open and flexible towards other applications: Fire, smoke and water detection and assistance for medication are introduced in a second step. Final online report.