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Keynote Lectures

Advances in Virtual Reality Streaming
Dieter Schmalstieg, Institute for Computer Graphics and Vision at Graz University of Technology, Austria

From Research to Applications: What Can We Extract with Social Media Sensing?
Yiannis Kompatsiaris, Information Technologies Institute, CERTH, Greece

 

Advances in Virtual Reality Streaming

Dieter Schmalstieg
Institute for Computer Graphics and Vision at Graz University of Technology
Austria
 

Brief Bio
Dieter Schmalstieg is full professor and head of the Institute of Computer Graphics and Vision at Graz University of Technology, Austria. His current research interests are augmented reality, virtual reality, computer graphics, visualization and human-computer interaction. He received Dipl.-Ing. (1993), Dr. techn. (1997) and Habilitation (2001) from Vienna University of Technology. He is author and co-author of over 400 peer-reviewed scientific publications with over 20,000 citations and over twenty best paper awards and nominations. His organizational roles include associate editor in chief of IEEE Transactions on Visualization and Computer Graphics, associate editor of Frontiers in Robotics and AI, member of the steering committee of the IEEE International Symposium on Mixed and Augmented Reality, chair of the EUROGRAPHICS working group on Virtual Environments (1999-2010), key researcher of the K-Plus Competence Center for Virtual Reality and Visualization in Vienna and key researcher of the Know-Center in Graz. In 2002, he received the START career award presented by the Austrian Science Fund. In 2008, he founded the Christian Doppler Laboratory for Handheld Augmented Reality. In 2012, he received the IEEE Virtual Reality technical achievement award, and, in 2020, the IEEE ISMAR Career Impact Award. He was elected as Fellow of IEEE, as a member of the Austrian Academy of Sciences and as a member of the Academia Europaea.


Abstract
Virtual Reality (VR) is an important new medium with applications in entertainment, learning and telepresence. It is also very demanding in terms of graphics performance, making it difficult to develop untethered, standalone VR headsets with sufficient computational power. A possible remedy is streaming over the air from a cloud or edge server. Unfortunately, VR cannot tolerate much transmission latency. A distributed rendering strategy, which performs  part of the image generation on the server and part on the VR client (the headset) can successfully hide this latency. This talk will explain an experimental system for novel approaches of VR streaming, and give a roadmap of future developments.



 

 

From Research to Applications: What Can We Extract with Social Media Sensing?

Yiannis Kompatsiaris
Information Technologies Institute, CERTH
Greece
 

Brief Bio
Dr. Ioannis (Yiannis) Kompatsiaris is the Director of CERTH-ITI and the Head of Multimedia Knowledge and Social Media Analytics Laboratory. His research interests include ??/ML for Multimedia, Semantics (multimedia ontologies and reasoning), Social Media and Big Data Analytics, Multimodal and Sensors Data Analysis, Human Computer Interfaces, e- Health, Cultural, Media/Journalism and Security applications. He is the co-author of 178 papers in refereed journals, 63 book chapters, 8 patents and 560 papers in international conferences. Since 2001, Dr. Kompatsiaris has participated in 88National and European research programs, in 31 of which he has been the Project Coordinator. He has also been the PI in 15 contracts from the industry. He has been the co-chair of various international conferences and workshops including the 13th IEEE Image, Video, and Multidimensional Signal Processing (IVMSP 2018) Workshop and has served as a regular reviewer, associate and guest editor for a number of journals and conferences currently being an associate editor of IEEE Transactions on Image Processing. He is a member of the National Ethics and Technoethics Committee, the Scientific Advisory Board of the CHIST-ERA funding programme and an elected member of the IEEE Image, Video and Multidimensional Signal Processing - Technical Committee (IVMSP - TC). He is a Senior Member of IEEE and ACM. Since January 2014, he is a co-founder of the Infalia private company, a high-tech SME focusing on data intensive web services and applications.


Abstract
Social media have transformed the Web into an interactive sharing platform where users upload data and media, comment on, and share this content within their social circles. The large-scale availability of user-generated content in social media platforms has opened up new possibilities for studying and understanding real-world phenomena, trends and events. Social media and websites provide an access to public opinions on certain aspects and therefore play an important role in getting insights on targeted
audiences. The objective of this talk is to provide an overview of social media mining, including key aspects such as data collection, multimodal analysis and visualization. Challenges, such as fighting misinformation, will be presented together with applications, results and demonstrations from multiple areas including: news, environment, security, interior and urban design.



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