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Horst Eidenberger

Ao.Univ.Prof. Mag.rer.soc.oec. Dr.rer.soc.oec.

Research Focus

  • Information Systems Engineering: 30%
  • Logic and Computation: 20%
  • Visual Computing and Human-Centered Technology: 50%

Research Areas

  • Information Retrieval, Media processing, Video Analysis, Image forensics, Virtual Reality, Audio Retrieval, Software Quality Assurance, Machine Learning, Multimedia
Horst Eidenberger

About

Computational perception of audiovisual media (e.g. face recognition, speech recognition, speaker recognition), forensic application of biometric media understanding technology, development of methods and prcesses in the area of big data analysis (summarization, statistical filtering, machine learning & classification including deep learning), development of multimedia and mixed reality applications (in particular, of hybrid systems), and analysis of software quality and usability of large software projects and web-based systems.

Role

Contact

2022W

2023S

 

Note: Due to the rollout of TU Wien’s new publication database, the list below may be slightly outdated. Once the migration is complete, everything will be up to date again.

2020

2018

  • Smell and touch in the Virtual Jumpcube / Eidenberger, H. (2018). Smell and touch in the Virtual Jumpcube. Multimedia Systems. https://doi.org/10.1007/s00530-018-0592-y
  • Handwritten Music Object Detection: Open Issues and Baseline Results / Pacha, A., Choi, K.-Y., Coüasnon, B., Ricquebourg, Y., & Eidenberger, H. (2018). Handwritten Music Object Detection: Open Issues and Baseline Results. In 2018 13th IAPR International Workshop on Document Analysis Systems (DAS). 2018 13th IAPR Workshop on Document Analysis Systems (DAS), Wien, Austria. https://doi.org/10.1109/das.2018.51
  • Gestalt Interest Points with a Neural Network for Makeup-Robust Face Recognition / Hörhan, M., & Eidenberger, H. (2018). Gestalt Interest Points with a Neural Network for Makeup-Robust Face Recognition. In 2018 25th IEEE International Conference on Image Processing (ICIP). 2018 25th IEEE International Conference on Image Processing (ICIP), Athens, Greece, EU. IEEE Press. https://doi.org/10.1109/icip.2018.8451075

2017

  • The Gestalt Interest Points Distance Feature for Compact and Accurate Image Description / Hörhan, M., & Eidenberger, H. (2017). The Gestalt Interest Points Distance Feature for Compact and Accurate Image Description. In Proceedings IEEE International Symposium on Signal Processing and Information Technology (p. 5). http://hdl.handle.net/20.500.12708/57261
  • Towards Self-Learning Optical Music Recognition / Pacha, A., & Eidenberger, H. (2017). Towards Self-Learning Optical Music Recognition. In 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA). 16th IEEE International Conference on Machine Learning and Applications, Cancun, Non-EU. https://doi.org/10.1109/icmla.2017.00-60
  • Towards a Universal Music Symbol Classifier / Pacha, A., & Eidenberger, H. (2017). Towards a Universal Music Symbol Classifier. In 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR). International Workshop on Graphics Recognition, New York, Non-EU. https://doi.org/10.1109/icdar.2017.265

2016

  • Similarity Assessment as a Dual Process Model of Counting and Measuring / Eidenberger, H., & Klauninger, B. (2016). Similarity Assessment as a Dual Process Model of Counting and Measuring. In Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods. 5th International Conference on Pattern Recognition Applications and Methods, Rom, EU. https://doi.org/10.5220/0005655801410147
  • Machine Learning with Dual Process Models / Eidenberger, H., Klauninger, B., & Unger, M. (2016). Machine Learning with Dual Process Models. In Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods. 5th International Conference on Pattern Recognition Applications and Methods, Rom, EU. https://doi.org/10.5220/0005655901480153
  • An Efficient DCT template-based Object Detection Method using Phase Correlation / Eidenberger, H., & Hörhan, M. (2016). An Efficient DCT template-based Object Detection Method using Phase Correlation. In Asilomar Conference on Signals, Systems, and Computers Proceedings MA8b3-4. Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, Non-EU. http://hdl.handle.net/20.500.12708/56633

2015

  • Indoor skydiving in immersive virtual reality with embedded storytelling / Eidenberger, H., & Mossel, A. (2015). Indoor skydiving in immersive virtual reality with embedded storytelling. In Proceedings of the 21st ACM Symposium on Virtual Reality Software and Technology. ACM Symposium on Virtual Reality Software and Technology (VRST), Beijing, China, Non-EU. Proceedings of the 21st ACM Symposium on Virtual Reality Software and Technology. https://doi.org/10.1145/2821592.2821612

2014

2013

  • Qualität nach Maß / Eidenberger, H. (2013, February). Qualität nach Maß. IX : Magazin Für Professionelle Informationstechnik, 02/2013, 132–136. http://hdl.handle.net/20.500.12708/154756
  • New Content-Based Features for the Distinction of Violent Videos and Martial Arts / Hörhan, M., & Eidenberger, H. (2013). New Content-Based Features for the Distinction of Violent Videos and Martial Arts. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing. IEEE, Austria. IEEE Press. http://hdl.handle.net/20.500.12708/54590

2012

2009

2008

  • Review von Wiki-Engines / Eidenberger, H. (2008). Review von Wiki-Engines. IX - Magazin Für Professionelle Informationstechnik, 60. http://hdl.handle.net/20.500.12708/170874
  • Frameworks für Medienverarbeitung / Eidenberger, H. (2008). Frameworks für Medienverarbeitung. IX - Magazin Für Professionelle Informationstechnik, 125. http://hdl.handle.net/20.500.12708/170873
  • Werkzeuge für Medien-Streaming / Eidenberger, H. (2008). Werkzeuge für Medien-Streaming. IX - Magazin Für Professionelle Informationstechnik. http://hdl.handle.net/20.500.12708/170872
  • Strömungslehre / Eidenberger, H. (2008). Strömungslehre. IX - Magazin Für Professionelle Informationstechnik, 116. http://hdl.handle.net/20.500.12708/170871
  • Evaluation of content-based Features for User-Centred Image Retrieval in Small Media Collections / Eidenberger, H., & Zaharieva, M. (2008). Evaluation of content-based Features for User-Centred Image Retrieval in Small Media Collections. In Proceedings of SPIE IS&T Electronic Imaging Conference 2008. SPIE IS&T Electronic Imaging Conference, San Jose, Kalifornien, Non-EU. SPIE Press. http://hdl.handle.net/20.500.12708/51900

2007

2006

2005

2004

  • A new method for visual descriptor evaluation / Eidenberger, H. (2004). A new method for visual descriptor evaluation. SPIE Electronic Imaging Conference, San Jose, USA, Non-EU. http://hdl.handle.net/20.500.12708/84292
  • A new perspective on visual information retrieval / Eidenberger, H. (2004). A new perspective on visual information retrieval. SPIE Electronic Imaging Conference, San Jose, USA, Non-EU. http://hdl.handle.net/20.500.12708/84291
  • SMIL and SVG in teaching / Eidenberger, H. (2004). SMIL and SVG in teaching. SPIE Electronic Imaging Conference, San Jose, USA, Non-EU. http://hdl.handle.net/20.500.12708/84290

2003

 

Note: Due to the rollout of TU Wien’s new publication database, the list below may be slightly outdated. Once the migration is complete, everything will be up to date again.