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Category:   E-SSchool
Subject:   SAMT 2006 Tutorials
Email:   publicity_(on)_samt2006.org
Date received:   24 Jul 2006
Start date:   06 Dec 2006

[Apologies for cross-postings. Please forward this mail to anyone interested.] ------------------------------------------------------------------------------------ SAMT 2006 TUTORIALS http://samt2006.org/tutorials.html First international conference on Semantics And digital Media Technology (SAMT 2006) Former European Workshop on the Integration of knowledge, semantic and digital Media Technologies (EWIMT) December 6-8, 2006 - Athens, Greece http://samt2006.org ------------------------------------------------------------------------------------ SAMT 2006 tutorials provide both postgraduate students and general interested audience the latest research work and progress in the field of the Multimedia and the Semantic Web, so that the audience has the opportunity to gain deeper insight into the challenges related to multimedia semantics and the increasingly emerging applications relying on multimedia understanding. SAMT 2006 features three tutorials: * The Reality of the Semantic Gap in Image Retrieval * Human Language Technology for the semantic Annotation of Multimedia Material * Semantic Indexing and Retrieval of Video Tutorial attendees must pay the SAMT 2006 tutorial registration fee, as well as the conference registration fee. THE REALITY OF THE SEMANTIC GAP IN IMAGE RETRIEVAL -------------------------------------------------- * Peter Enser & Criss Sandom, University of Brighton, UK * Paul Lewis & Jonathon Hare, University of Southampton, UK The semantic gap is referred to frequently in papers on image retrieval or multimedia information handling. However, whilst many authors have been happy to make reference to it, few have attempted to characterize the gap in any detail. This tutorial will attempt to rectify this situation by characterizing the semantic gap in image retrieval rather more specifically than hitherto. It will summarise current attempts to begin to bridge the gap both through developments in content-based techniques, the application of semantic web and knowledge technologies and recent progress in auto image annotation. The tutorial will consist of presentations/demonstrations partly based on research in recent European and UK projects, and particularly on a project to investigate the semantic gap funded by the Arts and Humanities Research Council in the UK involving the four presenters. The tutorial aims to provide valuable insights for those involved in research and development on image or multimedia retrieval and who wish to understand and address the concerns of real end-users and exploit recent research results in the field. In particular, the tutorial will provide practical insights in the problems associated with bridging the communication gap between the computer science/vision research community and the image management/practitioner community. HUMAN LANGUAGE TECHNOLOGY FOR THE SEMANTIC ANNOTATION OF MULTIMEDIA MATERIAL ---------------------------------------------------------------------------- * Thierry Declerck, DFKI Saarbrücken, Germany In the field of image/video processing, one speaks often of a "semantic gap" when it comes to the task of annotating/indexing image/video material with high-level semantics on the sole base of low-level features detected by automated image/video analysis. There is a need to add and merge semantics from the analysis of available associated modalities, like speech and text. The European Network of Excellence K-Space, which started in 2006, is tackling the integration of semantics generated from the analysis of various modalities/media in a principled manner under the umbrella of semantic web technologies and resources. Along the lines of the agenda of this project, the tutorial will present to the (semantic) multimedia community to which extent Human Language Technology can contribute to this challenge. SEMANTIC INDEXING AND RETRIEVAL OF VIDEO ---------------------------------------- * Marcel Worring & Cees Snoek, University of Amsterdam, The Netherlands Many solutions to image and video indexing can only be applied in narrow domains using specific concept detectors, e.g., "sunset" or "face". The use of multimodal indexing, advances in machine learning, and the availability of some large, annotated information sources, e.g., the TRECVID benchmark, has paved the way to increase lexicon size by orders of magnitude (now 100 concepts, in a few years 1,000). This brings it within reach of research in ontology engineering, creating and maintaining large, typically 10,000+ structured sets of shared concepts. This tutorial lays the foundation for these exciting new horizons. It will cover basic video analysis techniques, video indexing, connections to ontologies, and interactive access to the data. TUTORIALS CHAIRS - CONTACT -------------------------- * Raphael Troncy <Raphael.Troncy_(on)_cwi.nl>, CWI, The Netherlands * Vassilis Tzouvaras <tzouvaras_(on)_image.ntua.gr>, National Technical University of Athens, Greece SPONSORS -------- * http://www.cordis.lu/ist/ -- Information Society Technologies (IST), European Commission * http://www.eurasip.org/ -- European Association for Signal, Speech and Image Processing (EURASIP) * http://www.cost292.org/ -- European Cooperation in the field of Scientific and Technical Research, COST 292 Action - Semantic Multimodal Analysis of Digital Media * http://www.iee.org/oncomms/pn/visualinformation/index.cfm -- Institution of Engineering and Technology (IET), Visual Information Engineering Professional Network (VIE PN) * http://kspace.qmul.net/ -- K-Space Network of Excellence - Knowledge Space of Semantics inference for automatic annotation and retrieval of multimedia content * http://muscle-noe.org/ -- Muscle Network of Excellence - Multimedia Understanding through Semantics, Computation and Learning ------------------------------------------------------------------------------------ TO BE REMOVED FROM THIS LIST You are receiving this email because you have participated in a previous EWIMT or related event. If you would like to be removed from the SAMT publicity email list, please reply to this message with the word 'REMOVE' in the SUBJECT LINE. This email should be addressed to: publicity_(on)_samt2006.org. You will be removed from this list when we receive your reply. _______________________________________________ Elsnet-list mailing list Elsnet-list_(on)_elsnet.org http://mailman.elsnet.org/mailman/listinfo/elsnet-list

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