Marcel Worring received the MSc degree (honors) and PhD degree, both in computer science, from the Vrije Universiteit, Amsterdam, The Netherlands, in 1988 and the University of Amsterdam in 1993, respectively. He is currently an associate professor at the University of Amsterdam.
His interests are in multimedia search and systems. He is leading the MediaMill team which has been succesful in the last years in the TRECVID benchmark. Methods are applied to visual search in broadcast archives as well as in the field of Forensic Intelligence.
He has published over 100 scientific papers and serves on the program committee of several international conferences. He is the chair of the IAPR TC12 on Multimedia and Visual Information Systems, associate editor of the IEEE Transactions on Multimedia and of Pattern Analysis and Applications journal, general chair of the 2007 ACM International Conference on Image and Video Retrieval in Amsterdam and co-organizer of the first and second VideOlympics.
Title: Searching and finding in large video collections.
Abstract: Finding information in a large video collection is a daunting task. To help the user in their quest, we start off by analyzing the content of the collection at three levels. Automatically computed semantic indexes describe the visual content of individual shots. Dissimilarity spaces describe the relations between different shots. Various content based threads through the set of shots describe the collection as a whole.
These additional metadata and structures added to the data provide the basis for a number of innovative interactive video browsers each geared towards different steps in the video search process. In this talk we will highlight the underlying methodologies, show how we have analyzed the characteristics of the tools based on simulated users and show their evaluation in the context of the TRECVID interactive search benchmark.
Steffen Staab is professor for databases and information systems at the University of Koblenz-Landau, leading the research group on Information Systems and Semantic Web (ISWeb).
His interests lie in researching core technology for ontologies and semantic web as well as in applied research for exploiting these technologies for knowledge management, multimedia and software technology.
He has participated in numerous national, European and intercontinental research projects on these different subjects and his research has led to more than 100 refereed contributions in journals and conferences. Dr. Staab held positions as researcher, project leader and lecturer at the University of Freiburg, the University of Stuttgart/Fraunhofer Institute IAO, and the University of Karlsruhe and he is a co-founder of Ontoprise GmbH. He is on several journal editorial boards and is incoming Editor-in-Chief of Elsevier's Journal of Web Semantics. For more information see: http://isweb.uni-koblenz.de/ and http://www.uni-koblenz.de/~staab/
Title: Structuring and Accessing Semantic Multimedia Data.
Abstract: Navigating large heterogeneous media repositories is difficult because of the heterogeneity of possible data representations and because it requires frequent search for the `right' keywords, as traditional searching and browsing do not consider the semantics of multimedia data.
To resolve these issues we use ontologies and semantic data in two core areas of multimedia storage and access. First, we represent multimedia data in our Core Ontology for MultiMedia - COMM. COMM is an ontology content design pattern able to accomodate heterogeneous representations of low- and high-level multimedia data in a homogeneous manner.
Second, we allow for searching and browsing by exploiting semantic background knowledge at a large scale using our Networked Graphs reasoning infrastructure. The methods are integrated into the SemaPlorer prototype allowing for the easy usage of Flickr data based on semantic sources such as DBpedia, GeoNames, WordNet and personal FOAF files. The computational demands are met by federating data access on Amazon's Elastic Computing Cloud (EC2) and Simple Storage Service.
Thus, SemaPlorer remains scalable with respect to the amount of distributed components working together as well as the number of triples managed overall.
Nadia Magnenat-Thalmann is Professor in Computer Science at the University of Geneva since 1989. She chairs the lab MIRALab, an interdisciplinary lab in Mixed Reality and Human Animation.
She has published more than 400 technical papers in the areas of facial and body animation, physical simulation of garments, body scanning and motion capture models, augmented reality and virtual environment, and 3D multimedia. She is the coordinator of the NoE INTERMEDIA (see http://intermedia.miralab.unige.ch/ ). She has received several awards for her visual and technical work.
She can be contacted at thalmann AT miralab.unige.ch or at www.miralab.unige.ch
Title: The user as a multimedia center in the EU INTERMEDIA project.
Abstract: In the NoE EU INTERMEDIA project, our vision is to make the user the multimedia center : the user as the point at which multimedia services and the means for interacting with them converge. This presentation will describe some results obtained in this project.
As one proof of concept, we have developed a mobile mixed reality guide system for indoor environments. Chloé@University is a wearable guidance system, consisting of a head mounted display and an intelligent jacket. Chloé leads the visitor to a booth by augmenting the real world with navigation overlays. We use the concept of contextual bookmarks. With the camera of a mobile phone, the visitor can take a picture of the interesting exhibitors using the corresponding overview in the entrance area. These visual bookmarks are analyzed and transformed by the backend and are used to establish links to the target booths. The guidance system receives the location destinations and presents the route description to the respective booths over the head mounted display. A mobile computing device is hidden inside a jacket and a user selects a destination inside a building through wearable input buttons or a sleeve. A 3D virtual assistant then appears in the see-through HMD, and guides the user to his/her destination.
The presentation will also propose future avenues of research.