Interactive Media Systems, TU Wien

Publications

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Scientific publications, talks, and theses. Click a title or “Details” link to learn
more about a particular publication (including BibTeX, PDF download, etc).

Journals

A Baseline for General Music Object Detection with Deep Learning Deep learning is bringing breakthroughs to many computer vision subfields including Optical Music Recognition (OMR), which has seen a series of… A. Pacha, J. Hajič, J. Calvo-Zaragoza Details
Guided projections for analyzing the structure of high-dimensional data A powerful data transformation method named guided projections is proposed creating new possibilities to reveal the group structure of… T. Ortner, P. Filzmoser, M. Rohm, C. Breiteneder, S. Brodinova Details
DARGS: Dynamic AR Guiding System for Indoor Environments Complex public buildings, such as airports, use various systems to guide people to a certain destination. Such approaches are usually implemented by… G. Gerstweiler, K. Platzer, H. Kaufmann Details

Conferences

How Current Optical Music Recognition Systems Are Becoming Useful for Digital Libraries Optical Music Recognition (OMR) promises to make large collections of sheet music searchable by their musical content. It would open up novel ways of… J. Hajič, M. Kolárová, A. Pacha, J. Calvo-Zaragoza Details
Optical Music Recognition in Mensural Notation with Region-Based Convolutional Neural Networks In this work, we present an approach for the task of optical music recognition (OMR) using deep neural networks. Our intention is to simultaneously… A. Pacha, J. Calvo-Zaragoza Details
Advancing OMR as a Community: Best Practices for Reproducible Research Optical Music Recognition has been under investigation for over 60 years but remains an unsolved problem, because research happens distributedly,… A. Pacha Details
Self-Learning Optical Music Recognition A. Pacha: "Self-Learning Optical Music Recognition"; Talk: Vienna young Scientists Symposium, Wien; 06-07-2018 - 06-08-2018; in: "Vienna young… A. Pacha Details
Handwritten Music Object Detection: Open Issues and Baseline Results Optical Music Recognition (OMR) is the challenge of understanding the content of musical scores. Accurate detection of individual music objects is a… A. Pacha, K. Choi, B. Coüasnon, Y. Ricquebourg, H. Eidenberger Details
Automatic Furniture Arrangement Using Greedy Cost Minimization In this paper, we present a novel method for fast generation of furniture arrangements in interior scenes. Our method exploits the benefits of… P. Kán, H. Kaufmann Details
The Gestalt Interest Points Distance Feature for Compact and Accurate Image Description In this work, we present the novel Inter-GIP Distances (IGD) feature and its integration into the Gestalt Interest Points (GIP) image descriptor.… M. Hörhan, H. Eidenberger Details
Towards Self-Learning Optical Music Recognition Optical Music Recognition (OMR) is a branch of artificial intelligence that aims at automatically recognizing and understanding the content of music… A. Pacha, H. Eidenberger Details
Intelligent Film Assistant for Personalized Video Creation on Mobile Devices We describe the development of an intelligent film assistant system that supports the creation of professional video content on mobile devices such… D. Schörkhuber, F. Seitner, B. Salzbrunn, M. Gelautz, G. Braun Details
Teaching Virtual Reality with HTC Vive and Leap Motion Creating high quality virtual reality (VR) experience takes time and requires extensive practice. Although, multiple virtual and augmented reality… K. Vasylevska, I. Podkosova, H. Kaufmann Details
Towards a Universal Music Symbol Classifier Optical Music Recognition (OMR) aims to recognize and understand written music scores. With the help of Deep Learning, researchers were able to… A. Pacha, H. Eidenberger Details
Retrieving Diverse Social Images at MediaEval 2017: Challenges, Dataset and Evaluation This paper provides an overview of the Retrieving Diverse Social Images task that is organized as part of the MediaEval 2017 Benchmarking Initiative… M. Zaharieva, B. Ionescu, A. Ginsca, R. Santos, H. Müller Details
Robust and sparse clustering for high-dimensional data We introduce a robust and sparse clustering procedure for high-dimensional data. The robustness aspect is addressed by a weighting function… S. Brodinova, P. Filzmoser, T. Ortner, M. Zaharieva, C. Breiteneder Details
Improved Cooperative Stereo Matching for Dynamic Vision Sensors with Ground Truth Evaluation Event-based vision, as realized by bio-inspired Dynamic Vision Sensors (DVS), is gaining more and more popularity due to its advantages of high… E. Piatkowska, J. Kogler, A. Belbachir, M. Gelautz Details
Preventing Imminent Collisions between Co-Located Users in HMD-Based VR in Non-Shared Scenarios This paper presents two experiments set in a multi-user HMD-based VR system where users navigate by real walking in a large real and vir- tual area.… I. Podkosova, H. Kaufmann Details
Depth-guided Disocclusion Inpainting for Novel View Synthesis The generation of novel views is a crucial processing step in 3D content generation, since it gives control over the amount of depth impression on… T. Rittler, M. Nezveda, F. Seitner, M. Gelautz Details
Towards Efficient Spatial Compression in Self-Overlapping Virtual Environments Space available for any virtual reality experience is often strictly limited and abridges the virtual world to a size of a room. To extend the amount… K. Vasylevska, H. Kaufmann Details
VRRobot: Robot Actuated Props in an Infinite Virtual Environment We present the design and development of a fully immersive virtual reality (VR) system that can provide prop-based haptic feedback in an infinite… E. Vonach, C. Gatterer, H. Kaufmann Details
VROnSite: Towards Immersive Training of First Responder Squad Leaders in Untethered Virtual Reality We present the VROnSite platform that enables immersive training of first responder on-site squad leaders. Our training platform is fully immersive,… A. Mossel, M. Froeschl, C. Schönauer, A. Peer, J. Göllner, H. Kaufmann Details
Digital Playbook - A Teaching Tool for American Football A playbook in American Football can consist of hundreds of plays, and to learn each play and the corresponding assignments and responsibilities is a… M. Vorstandlechner, M. Gelautz, C. Putz Details

Talks

Virtual Reality: Beyond Physical Frontiers The advent of technologically based approaches through mixed reality (MR) environments holds significant promise in its ability to form a new medium,… A. Mossel Details
Virtual Reality in Reality The advent of technologically based approaches through mixed reality (MR) environments holds significant promise in its ability to form a new medium,… A. Mossel Details
Finding groups in large and high-dimensional data using a k-means-based algorithm S. Brodinova, P. Filzmoser, T. Ortner, C. Breiteneder, M. Zaharieva: "Finding groups in large and high-dimensional data using a k-means-based… S. Brodinova, P. Filzmoser, T. Ortner, C. Breiteneder, M. Zaharieva Details
Grouping and outlier detection using robust sparse clustering S. Brodinova, P. Filzmoser, T. Ortner, M. Zaharieva, C. Breiteneder: "Grouping and outlier detection using robust sparse clustering"; Talk: Olomouc… S. Brodinova, P. Filzmoser, T. Ortner, M. Zaharieva, C. Breiteneder Details
Local projection for outlier detection T. Ortner, P. Filzmoser, S. Brodinova, M. Zaharieva, C. Breiteneder: "Local projection for outlier detection"; Talk: Olomouc Days of Applied… T. Ortner, P. Filzmoser, S. Brodinova, M. Zaharieva, C. Breiteneder Details
Virtual Reality: Über physische Grenzen hinweg Die Erwartungshaltung an Virtual Reality (VR) -Umgebungen in verschiedenen Anwendungsgebiete ist sehr hoch. Allerdings gibt es eine Reihe von… A. Mossel Details
The Opportunities of Virtual & Augmented Reality The advent of technologically based approaches through mixed reality (MR) environments holds significant promise in its ability to form a new medium,… A. Mossel Details