1 / 19

ITI-CERTH

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.

aline-walsh
Télécharger la présentation

ITI-CERTH

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. 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

  2. Presentation Overview • ITI Multimedia Knowledge Group • Towards a Common Multimedia Ontology Framework • IST BOEMIE Project

  3. 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 (M-Ontomat)

  4. 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)

  5. Towards a common Multimedia Ontology Framework Requirements and Harmonization approaches

  6. 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

  7. List of contributors • 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

  8. List of contributors (2) • ISWeb, University of Koblenz • Freie Universitaet,Netzbasierte Informationssysteme, Institut 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

  9. 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

  10. Scope and Usage Annotation Analysis Retrieval Reasoning Personalized filtering Meta-Modeling Media description Image Video 3D Graphics Audio AudioVisual Multimedia presentation Requirements (2)

  11. Representation of content structure Multimedia structure representation Spatiotemporal relation representation Localization Representation of content description Low-level description Multiple audiovisual descriptors Alignment to existing metadata standards Basic and complex data types Requirements (3)

  12. 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 OntoKnowledge OntoClean Requirements (4)

  13. 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

  14. 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

  15. BOEMIE Multimedia annotation tool and A proposed knowledge framework

  16. Selection of regions for merging M-OntoMat Annotizer Semantic labeling Region merging functionality Mid-Level Concepts Descriptor extraction Descriptor extraction Automatic segmentation

  17. XML output

  18. Knowledge framework Core Ontology-Holistic Representation Domain Ontology Spatiotemporal Constraints Modality Elements Multimedia Content Ontology Features/ Multimedia Descriptor Ontology Classifiers/ Algorithms

  19. An indicative example High_Jumper_Approach High_Jumper_Jump_Off Athletics_Event High_Jumper_Successful _Landing Jumping_Event High_Jumper_Failed_Landing High_ Jump_Event Pole_Vault_Event Long_Jump_Event Pole_Vaulter_Jump_Off Pole_Vaulter_Swing_and_Row Pole Mats Foam Mats Sandpit Pole_Vaulter_Successful_Landing Pole_Vaulter_Failed_Landing Horizontal_Bar Foam_Mats is_Right is_Below HasVisualElement HasVisualElement is_On Element Multimedia object Visual Element Textual Element Image Video Horizontal_Bar_ve Video segment Still region Foam_Mats_ve depicts Sandpit_ve depicts Athletics_Event_Inst_1 Horizontal_Bar_Inst_1 Foam_Mats_Inst_1 Image_Inst1 Horizontal_Bar_ve_Inst1 Still_region_Inst1 Foam_Mats_ve_Inst1 Still_region_Inst2

More Related