EIT ICT Labs MASTER SCHOOL · Imaging and 4D Flow. Her research interests include medical visualization, volume visualization, multivalued visualization, and medical image analysis

EIT ICT LabsMASTER SCHOOL

DMT Programme Specialisations

EIT ICT Labs Master School: DMT – Specialisations

DMT EIT ICT Labs Master Programme

Digital Media Technology

The programme in Digital Media Technology focuses on enabling technologies for digital media systems, including technologies for analysing media, generating interactive media, processing and coding, optimising wired and wireless transfer, and distributing digital 3D contents. Graduates of the DMT programme will be both specialists and innovators that are able to shape future digital media technology. The first year will be similar at all three DMT entry point universities Aalto, KTH, and TU Delft with four basic courses on signal processing, computer graphics, web services, and communication networks. The second year will accommodate the technical specialisation.

More information: http://www.masterschool.eitictlabs.eu/programme/majors/dmt/

Contact: Markus Flierl ([email protected])


Specialisations Specialisations are provided during the second year. The DMT programme offers 6 specialisations, each at a different location. To meet the requirements for geographic mobility, the chosen exit point needs to differ from the chosen entry point. The specialisations cover:

Hypermedia at Aalto University

Media Processing and Communications at KTH

Medical Visualisation and Analysis at TU Delft

Media Communications Services at BME Budapest

Virtual Environments at UCL

Semantic Media at UNITN


Hypermedia (Aalto University)

Prof. Petri Vuorimaa is the coordinator of the Digital Media Technology programme or at Aalto University, Finland. He is a full professor at the Department of Media Technology, School of Science. He has both M.Sc. (1990) and Dr.Tech. (1995) degrees from Tampere University of Technology, Finland. At Aalto University, Media Technology is a popular programme; over the years, Prof. Vuorimaa has supervised over 150 master's theses and 9 doctor of science theses. Currently, Prof. Vuorimaa's research group includes one postdoctoral researcher, five doctoral students

and three master's thesis workers. The group's research interest includes web-based services, social media, smart spaces, assisted ambient living, and mobile media applications.

The hypermedia specialisation focuses on linked data and web-based services. Students acquire skills to develop advanced web-based services both on user interface and data level. The topics covered include information retrieval techniques, web service programming, declarative web services, semantic web and web service techniques. The specialisation area is linked to both, Smart Spaces and Future Media and Content Delivery, thematic areas. In Smart Spaces, linked data can be used to integrate information coming from different sensors and devices, while web technologies allow the adaption of the service user interfaces to different devices. Web technologies are commonly used in online media services, while linked data allows the integration of different services together.

Contact: Petri Vuorimaa


Hypermedia Specialisation Madatory Courses (12 ECTS):

WWW Applications 4 ECTS

Semantic Web 4 ECTS

Information Retrieval 4 ECTS

Hypermedia Specialisation Electives:

Web Services 4 ECTS

Web Software Development 3-6 ECTS

User Interface Construction 4 ECTS

Special Assignment in WWW and Knowledge Technology 2-8 ECTS

Multimedia Programming 4 ECTS

Seminar on Media Technology A 4-8 ECTS

Seminar on Media Technology B 4-8 ECTS


Media Processing and Communications (KTH, Royal Institute of Technology)

You like to see yourself as an innovator in Digital Media Technology? Then welcome to Media Processing and Communications, the specialisation offered by KTH, The Royal Institute of Technology in Stockholm. Learn about the fundamentals of digital communications, discover the principles of digital audio and video processing, and create your own wireless multimedia system. Join the ACCESS Distinguished Lecture Series and meet innovators from Bell Labs, HP Labs, or IBM Research. Realize your

master thesis project at Ericsson, Dolby, Skype, or with other strong industrial players in the greater Stockholm area. As the local coordinator for Digital Media Technology at KTH, I welcome you to Stockholm. Yours sincerely, Markus Flierl, Associate Professor at the School of Electrical Engineering, The Royal Institute of Technology, KTH.

The media processing and communications specialisation focuses on the processing of audio, images, video, and immersive visual data for telecommunication applications. The courses emphasize the principles of digital signal processing and digital communications as well as their specific applications. Students that choose this specialisation learn about enabling technologies for communicating digital media. This prepares them to contribute to new technology for better telepresence, smarter mobile media, and future immersive network experience.

Contact: Markus Flierl ([email protected])


Media Processing and Communications Specialisation Mandatory Courses (16.5 ECTS):

Digital Signal Processing 7.5 ECTS

Digital Communications 9 ECTS

Media Processing and Communications Specialisation Electives:

Pattern Recognition 7.5 ECTS

Speech Signal Processing 6 ECTS

Image and Video Processing 6 ECTS

Computational Photography 6 ECTS

Adaptive Signal Processing 6 ECTS

Advanced Digital Communications 6 ECTS


Medical Visualisation and Analysis (TU Delft)

New imaging and visualisation applications are invading medical practices. They are relevant for diagnosis, as well as for the planning and achievement of minimally-invasive surgery. The development and research in this area is of high relevance and we have strong collaborations with major hospitals and companies in the health-care field (such as Leiden UMC, Erasmus MC, or Philips).

If you choose to study at TU Delft, you will learn about cutting-edge technology from acquisition to visualization and operative support. Besides the theoretical background, also practical hands-on knowledge is presented, which will enable you to build your own visualisation systems. You will acquire the necessary medical background, but also master many technical aspects that are relevant in various other fields as well, such as image processing, 3D model reconstruction, comparitive computations, graphics, visualisation, and various solutions for the analysis of multimodal data. Further, you will make use of novel interaction devices and learn how to exploit modern display technologies to your advantage. If you are looking for an exciting field with societal impact that combines a large variety of visualization-related topics, TU Delft is the right choice for you!

Elmar Eisemann is heading the Computer Graphics and Visualization Group at TU Delft. Before he was an associated professor at Telecom ParisTech (until 2012) and a senior scientist heading a research group in the Cluster of Excellence (Saarland University / MPI Informatik) (until 2009). He studied at the École Normale Supérieure in Paris (2001-2005) and received his PhD from the University of Grenoble at INRIA Rhône-Alpes (2005-2008). He spent several research visits abroad; at the Massachusetts Institute of Technology (2003), University of Illinois Urbana-Champaign (2006), Adobe Systems Inc. (2007, 2008). His interests include real-time and perceptual rendering, alternative representations, shadow algorithms, global illumination, and GPU acceleration techniques.

Contact: Elmar Eisemann


Dr. Anna Vilanova is associate professor at the Computer Graphics and Visualization Group at TU Delft. Before she was assistant professor at the Biomedical Image Analysis group of the Biomedical Engineering Department at the Eindhoven University of Technology. She received her PhD degree in 2001 from the Vienna University of Technology with a PhD thesis on “Visualization Techniques for Virtual Endoscopy”. Currently she is working on the subject of multivalued image analysis and visualization, focusing on Diffusion Weighted Imaging and 4D Flow. Her research interests include medical visualization, volume visualization, multivalued visualization, and medical image analysis.

Boudewijn P.F. Lelieveldt is a professor of Biomedical Imaging at Delft University of Technology, as well as head of the Knowledge Guided Image Processing section of the Division of Image Processing, Department of Radiology, Leiden University Medical Centre. His main research interest is the integration of a-priori knowledge into segmentation and registration algorithms, with main applications to cardiac imaging and multi-modal pre-clinical imaging.

Medical Visualisation and Analysis Specialisation Mandatory Courses (16 ECTS):

Advanced Digital Image Processing 6 ECTS

Medical Visualisation 5 ECTS

Seminar Computer Graphics and Visualisation 5 ECTS

Medical Visualisation and Analysis Specialisation Electives:

Medical Imaging 5 ECTS

Multimedia Information Retrieval 3 ECTS

Pattern Recognition 6 ECTS


Media Communications Services (BME, Budapest University of Technology and Economics)

The coordinator of this programme is professor Csaba A. Szabó. Prof. Szabó’s professional career has been a combination of outstanding academic record and extensive industry/business experience. The company he co-founded became market leader in providing video collaboration solutions in the region. He is the Head of the Laboratory of Multimedia Networks within the Dept. of Telecommunications. The members of the laboratory contributed to the transition from analogue- to-digital broadcasting in the country, and have been active in numerous national and EU projects

relevant to this specialisation, e.g. the recently completed FP7 OPTIMIX, or the new FP7 CONCERTO project. Facilities for students include a unique multi- vendor IMS (IP Multimedia Subsystem) laboratory, where they can design and implement new media services for mobile and terrestrial operators. Interesting I&E and master thesis tasks and internship opportunities will be offered in cooperation with industrial members and partners of the Budapest Node such as Cisco and Ericsson.

This specialisation focuses on communications and delivery networks, systems, enabling technologies and platforms for providing media services. Students who complete this specialisation obtain a thorough understanding of the state-of-the-art technologies of media communications and are capable of designing, implementing and operating media communications services over new generation telecommunications networks, in particular wireless and mobile networks. Topics include quality of service provisioning, media delivery over heterogeneous access networks, digital broadcasting systems, interactive services, media communications over IP networks and the Internet, service delivery platforms, content delivery networks and security aspects of media delivery.

Contact: Csaba A. Szabó


Media Communications Services Specialisation Mandatory Courses (12 ECTS):

Media Communications Networks 4 ECTS

Service Delivery Architectures and Platforms 4 ECTS

Project in Media Communications Services 4 ECTS

Media Communications Services Specialisation Electives:

Multimedia Compression 6 ECTS

Broadband Media Communication Systems 4 ECTS

Content Delivery Networks 4 ECTS

Communications Acoustics 4 ECTS

Media Content Management Systems 4 ECTS

Security in Media Communications 4 ECTS


Virtual Environments (University College London)

Professor Anthony Steed: ”Most peoples' understanding of virtual environments, or virtual reality, comes from bad Hollywood movies: people in head-mounted displays wearing body suits. However, almost all of the components of that sci-fi vision are now with us: mobile phones with excellent real-time rendering, motion capture systems in the home and very high- quality displays. People talk about "immersion in video games", and "augmented reality" is

available on mobile devices. Components of virtual environments technology have thus, un- heralded, become ubiquitous in our lives and it has been brought to us through devices designed for entertainment. At UCL we have a broad experience in the underlying technologies for virtual environments: computer graphics, scanning & capture, modelling and immersive systems. Our research and teaching is high impact and we ensure this through collaborations with over twenty companies in the field. We also have excellent resources that are available for students to use including a range of high-end cameras (surround cameras, depth cameras, SLRs), a CAVE-like systems, clusters of high-end rendering PCs and associated tracking systems, sensors systems and interaction devices.”

UCL offers a specialisation in Virtual Environments with courses focused on the technical aspects of virtual reality systems as well as the underlying technologies. Students are trained in the current state-of-the-art concerning all aspects of virtual environments: design and implementation of virtual environments, advanced computer graphics, and visual computing. Elective course are offered to cover multimedia, machine vision, and interaction aspects. The UCL Department of Computer Science is particularly renowned in this area and the courses will be taught by world-leading researchers. Students are benefitting from the available facilities, such as an immersive CAVE-like display system, head-mounted and 3D displays, haptic input devices, 3D scanners, multi-touch tables, motion tracking systems, etc. The specialisation falls into the thematic area of Smart Spaces, where the use of virtual and mixed reality improve the quality of telepresence and thus reduce the need for physical travel. Virtual environments also enable shared virtual collaborative spaces, a likely avenue in Future Media and Content Delivery.

Contact: Anthony Steed


Virtual Environments Specialisation Mandatory Courses (18 ECTS):

Virtual Environments 6 ECTS

Advanced Computer Graphics 6 ECTS

Advanced Visual Computing 6 ECTS

Virtual Environments Specialisation Electives:

Machine Vision 6 ECTS

Geometry of Images 6 ECTS

Image Processing 6 ECTS

Information Processing in Medical Imaging 6 ECTS

Multimedia Systems 6 ECTS

Network and Application Programming 6 ECTS

Interaction Design 6 ECTS

Professional Practice 6 ECTS


Semantic Media (Universtiy of Trento)

Francesco G.B. De Natale is a Professor of Telecommunications at University of Trento. He works for more than 20 years in the area of multimedia signal processing, and leads the group of Multimedia at the Dept. of Information Engineering and Computer Science. Recently, he focused on the effort of making traditional signal processing methodologies converge with most advanced semantic technologies to solve complex multimedia analysis tasks in different application domain, including content-based media retrieval, smart

interfaces, cognitive environments, behavioral analysis.

Fausto Giunchiglia is a Professor of Computer Science at University of Trento. His research interests span different but related areas, including (in decreasing order of generality): Artificial Intelligence, formal methods, automated reasoning (including context and contextual reasoning), knowledge management. His current interests focus on the notion of “context” as a way to manage data, content and knowledge at large in real-world applications. The

reference application domain for such research is peer-to-peer enabled (Semantic) Web, with special attention to the problem of managing diversity in knowledge.

University of Trento offers a specialization in the highly cross-disciplinary area of Semantic Media. The objective is to bridge the gap between Signal Processing technologies applied to multimedia data, and the relevant fields of Media Analysis and Pattern Recognition and Knowledge Representation that allow associating a semantic to media objects. The department is very active in these research areas, and has acquired in the past years very strong competences also thanks to a wide network of international research relationships. Students will benefit not only of the facilities available at UniTN, but also of a preferential access to a network of partner companies, SMEs, and research institutions where they will have the possibility of making experiences, strengthening their entrepreneurial profile, carrying out internships. Moreover, ICTLabs@Italy has a strong focus on digital media content management, witnessed by the co-location of large enterprises (e.g., Engineering SpA, Telecom Italia) with specific emphasis on these technologies.

Contact: Francesco G.B. De Natale + Fausto Giunchiglia


Semantic Media Specialisation Mandatory Courses (12 ECTS):

Computer Vision 6 ECTS

Data and Knowledge Representation Languages 6 ECTS

Semantic Media Specialisation Electives:

Audio Signal Processing 6 ECTS

Machine Learning 6 ECTS

Recognition Systems 6 ECTS

Data and Information Integration 6 ECTS

Natural Language Processing and Information Retrieval 6 ECTS

Data Hiding 6 ECTS

Massive Data Analytics 6 ECTS

Project Course on Multimedia 6 ECTS

Documents

EIT ICT Labs MASTER SCHOOL · Imaging and 4D Flow. Her research interests include medical visualization, volume visualization, multivalued visualization, and medical image analysis