ITI-CERTH Centre for Research and Technology Hellas (CERTH) Informatics and Telematics Institute (ITI) (http://www.iti.gr) Director Prof. Michael Strintzis Multimedia Knowledge Group (http://mkg.iti.gr) Head Dr. Yiannis Kompatsiaris Thessaloniki, GREECE Amsterdam, Multimedia Semantics XG, 10-11 July 2006 Vasileios Papastathis, Research Fellow Informatics and Telematics Institute Centre for Research and Technology Hellas Presentation Overview • ITI Multimedia Knowledge Group • Towards a Common Multimedia Ontology Framework • IST BOEMIE Project Informatics and Telematics Institute Centre for Research and Technology Hellas 2 ITI Multimedia Knowledge Group • • • • • Semantic Multimedia Analysis Multimedia Indexing and Retrieval Multimedia and the Semantic Web Knowledge Structures, Languages and Tools for Multimedia Reasoning and Personalization for Multimedia Applications • Ontology structures in OWL for knowledge-assisted multimedia analysis and reasoning • Rules in SWRL including multimedia features for analysis and reasoning • MPEG-7 Visual part representation in RDF • Graphical tool for ontology-based annotation of images (MOntomat) Informatics and Telematics Institute Centre for Research and Technology Hellas 3 R&D Projects • “aceMedia: Integrating knowledge, semantics and content for • • • • • • user centred intelligent media services”, IP 2004-2007 “KnowledgeWeb: Realizing the Semantic Web”, funded by the DG XIII, NoE 2004-2007 “MESH: Multimedia Semantic Syndication for Enhanced News Services”, IST – IP, 2006-2008 “K-Space: Knowledge Space of Semantic Inference for Automatic Annotation and Retrieval of Multimedia Content, IST NoE, 2006-2009 “X-Media: Knowledge Sharing and Reuse Across Media”, IST – IP, 2006-2009 “BOEMIE: Bootstrapping Ontology Evolution with Multimedia Information Extraction”, IST – STREP, 2006-2008 “PATExpert: Advanced Patent Document Processing Techniques”, IST-STREP, 2006-2008 (collaboration with AUTH) Informatics and Telematics Institute Centre for Research and Technology Hellas 4 Towards a common Multimedia Ontology Framework Requirements and Harmonization approaches Informatics and Telematics Institute Centre for Research and Technology Hellas Multimedia Ontology Framework • Framework for collecting existing multimedia knowledge representation • Define approach for harmonization • Initiated by aceMedia in EWIMT 2005 but not directly connected to aceMedia work • http://www.acemedia.org/aceMedia/reference /multimedia_ontology/index.html Informatics and Telematics Institute Centre for Research and Technology Hellas 6 List of contributors 1. 2. 3. 4. 5. 6. 7. 8. National Technical University of Athens Istituto per la Matematica Applicata e le Tecnologie Informatiche, Consiglio Nazionale delle Ricerche, AIM@SHAPE University Rennes Centre for Digital Music, Queen Mary, University of London Lehrgebiet Multimedia und Internetanwendungen, Informatikzentrum University of Southampton, UK Institute of Informatics & Telecommunications, N.C.S.R. "Demokritos" Institute of Information Systems & Information Management, JOANNEUM RESEARCH Forschungsgesellschaft mbH Informatics and Telematics Institute Centre for Research and Technology Hellas 7 List of contributors (2) 9. ISWeb, University of Koblenz 10. Freie Universitaet,Netzbasierte Informationssysteme, Institut 11. 12. 13. 14. 15. fuer Informatik 'Signals and Images' Laboratory, Institute of Information Science and Technologies "A. Faedo" (ISTI–CNR), Italian National Research Council (CNR) Image Bioinformatics Research Group, Department of Zoology, University of Oxford Technical University of Crete, CWI Amsterdam, Maryland Information and Network Dynamics Lab, National Technical University of Athens University of Twente Informatics and Telematics Institute Centre for Research and Technology Hellas 8 Requirements for MM ontologies • Scope and Usage • Media Description-Description of the • • • • • information object Representation of Content Structure Representation of Content Description Knowledge Representation Formalism Reasoning Support Following an established methodology Informatics and Telematics Institute Centre for Research and Technology Hellas 9 Requirements (2) • Scope and Usage • Media description Annotation Analysis Retrieval Reasoning Personalized filtering Meta-Modeling Informatics and Telematics Institute Centre for Research and Technology Hellas Image Video 3D Graphics Audio AudioVisual Multimedia presentation 10 Requirements (3) • Representation of • Representation of content structure Multimedia structure representation Spatiotemporal relation representation Localization Informatics and Telematics Institute Centre for Research and Technology Hellas content description Low-level description Multiple audiovisual descriptors Alignment to existing metadata standards Basic and complex data types 11 Requirements (4) • Knowledge representation formalism High complexity of multimedia modeling Compliance to W3C standards Inferencing support OWL • Reasoning support DL-based reasoning Rules Uncertainty Fuzziness • Established methodology Informatics and Telematics Institute Centre for Research and Technology Hellas OntoKnowledge OntoClean 12 Harmonization approaches (1) • Modularization Clear, independent ontology modules Examples: Visual Descriptors Ontology (VDO), Multimedia Structure Ontology (MSO), Spatio-Temporal Ontology (STO) • Ontology cross-domain linking Alignment techniques for multimedia ontologies linking with domain-specific ontologies Merging techniques for multimedia ontology coordination • Compliance to standards Semantic Web, W3C, MPEG-7, etc Informatics and Telematics Institute Centre for Research and Technology Hellas 13 Harmonization approaches (2) • Harmonization of core ontologies Core ontologies cannot be simply mapped but need to be “harmonized” Need to apply ontological modeling principles during harmonization • Development of a common upper ontology Starting point for new ontology construction Bridge between existing ontologies Act as the ground basis for the establishment of an integrated ontology framework Back up the common upper ontology Informatics and Telematics Institute Centre for Research and Technology Hellas 14 BOEMIE Multimedia annotation tool and A proposed knowledge framework Informatics and Telematics Institute Centre for Research and Technology Hellas M-OntoMat Annotizer Selection of regions for merging Semantic labeling Region merging functionality Mid-Level Concepts Descriptor extraction Automatic segmentation Informatics and Telematics Institute Centre for Research and Technology Hellas 16 XML output Informatics and Telematics Institute Centre for Research and Technology Hellas 17 Knowledge framework Core Ontology-Holistic Representation Domain Ontology Spatiotemporal Constraints Modality Elements Multimedia Content Ontology Features/ Multimedia Descriptor Ontology Classifiers/ Algorithms Informatics and Telematics Institute Centre for Research and Technology Hellas 18 An indicative example High_Jumper_Approach High_Jumper_Jump_Off Athletics_Event Athletics_Event_Inst_1 High_Jumper_Successful _Landin Jumping_Event High_Jumper_Failed_Landing High_ Jump_ Event Long_Jump_ Event Pole Mats Sandpit Pole_Vault _Event Pole_Vaulter_Jump_Off Pole_Vaulter_Swing_and_Row Foam Mats Pole_Vaulter_Successful_Landin Pole_Vaulter_Failed_Landing Foam_Mats Horizontal_Bar_Inst_1 Foam_Mats_Inst_1 Horizontal _Bar is_Right is_Below is_On Element Visual Element Textual Element Horizontal_Bar_ve Horizontal_Bar_ve_Inst1 Foam_Mats_ve Sandpit_ve Multimedia object Image depicts Foam_Mats_ve_Inst1 Video Image_Inst1 Video Still region segment Still_region_Inst1 Still_region_Inst2 depicts Informatics and Telematics Institute Centre for Research and Technology Hellas 19
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