You are invited to a webinar on a new, intuitive and efficient method to store and access video events.
When: Oct 30, 2013 from 06:00 PM to 07:15 PM CEST.
Where: Online, hosted by inEvent Project.
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Time zone info: CET (18:00-19:15), EDT (13:00-14:15) and PDT (10:00-11:15)
Imagine going back and watching the moment you and your team came up with an innovative idea, or revisit the meeting to check the details of an important task that was assigned to you. Imagine watching again a question that was raised during a professional congress, or a lecture you missed. Imagine that while trying to learn a new topic, you could easily fetch related lectures and meetings as well as emails, documents and web links.
inEvent is a research project that aims to allow you to search recorded video like lectures or meetings as easy as searching emails and documents. With inEvent you can easily search and jump to:
A specific keyword mentioned in a lecture
The moment a specific participant started to talk
A slide in a presentation during the lecture or meeting
inEvent personalizes the experience with recommendation lists and targeted search results.
inEvent unlocks the potential of your stored video lectures and meetings with new innovative technologies so your organization can fully leverage this data.
Program
Easier Access to Recorded Video Events (70 minutes) |
Unlocking Multimedia
Hervé Bourlard |
inEvent: Interacting with Multimedia Content
Sandy Ingram |
From Search to Recommendation for Navigation
Andrei Popescu-Belis |
Potential of Automatic Audio-Video Analysis
Oliver Schreer |
Perspectives
Steve Renals |
Short Biographies
Hervé Bourlard is the Director of the Idiap Research Institute, a Professor at the Swiss Federal Institute of Technology at Lausanne (EPFL), and the founding Director of National Center of Competence in Research on “Interactive Multimodal Information Management”. He is the Coordinator of the inEvent EU project developing the core technologies presented at this webinar. He has over 300 publications, has initiated and coordinated numerous international research projects, and is the recipient of several scientific and entrepreneurship awards.
Sandy Ingram received her PhD. degree in Computer science from the Swiss Federal Institute of Lausanne. While at EPFL, Sandy has strongly contributed to several European and national projects in the field of technology-enhanced lifelong learning and online collaborative work. Sandy is currently responsible for R&D projects at Klewel.
Andrei Popescu-Belis is a Senior Researcher at the Idiap Research Institute (Martigny, Switzerland), a lecturer at EPFL, and the head of Idiap’s Natural Language Processing group. He graduated from the Ecole Polytechnique in 1995. He holds an MSc in AI from the University of Paris VI (1996) and a PhD in computer science from LIMSI-CNRS, University of Paris XI (1999). Before joining Idiap, he has been a researcher at UCSD and the University of Geneva. He has over 100 publications in human language technology, information retrieval, and multimodal interactive systems.
Oliver Schreer is Associate Professor at Technical University Berlin and scientific project manager of the “Immersive Media & 3D Video”-Group in the Image Processing Department of the Fraunhofer Institute for Telecommunications HHI. He received his Dr.-Ing. degree in electrical engineering from the Technical University of Berlin in 1999. Since August 1998, he is with the IP department, where he is engaged in research for 3D video analysis, vision-based HCI, real-time 3D video conferencing systems and immersive media applications. In June 2006, Oliver Schreer received his habilitation degree in the field of “Computer Vision/Videocommunication” at the faculty of Electrical Engineering and Computer Science, Technical University Berlin. Since autumn 2006, he has the position of an Associate Professor at the Faculty of Electrical Engineering and Computer Science, Technical University Berlin. He published more than 90 papers in conferences and journals and he is editor of a book on “3D Videocommunication” published in 2005 at Wiley & Sons, UK.
Steve Renals is Professor of Speech Technology at the University of Edinburgh. He has research interests in speech and language technology, with over 200 publications in the area, with recent work on neural network acoustic models, cross-lingual speech recognition, and meeting recognition. He is co-editor-in-chief of the ACM Transactions on Speech and Language Processing and senior area editor of IEEE Transactions on Audio, Speech, and Language Processing.