1. Semantic AudiovisuaL Entertainment Reusable Objects Werner Haas, Georg Thallinger JOANNEUM RESEARCH, Austria Kick-off meeting, Graz, 12 – 13 January, 2006

2. 2006-01-12Integrated Project SALERO FP6-027122 Slide 2 History October 2004first (written) outline March 21, 2005submitted to IST FP 6 Call 4 May 25, 2005hearing in Luxembuorg July 27, 2005negotiation meeting December 2005EU contract and CA signed January 2006project start and kick-off … (lost & found) December 2009successfully finished

3. 2006-01-12Integrated Project SALERO FP6-027122 Slide 3 Motivation Digital audiovisual media pervade our life Automated processing of content is THE problem Need to advance the state of the art in digital media to create audiovisual content using ‘intelligent content’ and appropriate tools with greater quality at lower cost for cross-platform delivery to provide audiences with more engaging entertainment and information at home or on the move building on and extending R&D in media technologies, web semantics and context based search & retrieval

4. 2006-01-12Integrated Project SALERO FP6-027122 Slide 4 Overall Vision Define and develop ‘Intelligent Content’ for media production consisting of multimedia objects with context-aware behaviour for self-adaptive use and delivery across platforms ‘Intelligent Content’ should enable the creation and re- use of complex, compelling media by artists who need to know little of the technical aspects of how the tools that they use actually work.

5. 2006-01-12Integrated Project SALERO FP6-027122 Slide 5 R&D Objectives Research into methodologies for creating and finding intelligent content Address characters, objects, sounds, language sets and behaviours Develop toolsets to create, manage, edit, retrieve and deliver content objects Experimental productions to verify the concept

6. 2006-01-12Integrated Project SALERO FP6-027122 Slide 6 Impact and Results Take-up of ‘Intelligent Content’ technologies based on solid R&D foundations Experimental productions Contribution to standards Ontology language, media ontologies and metadata Demonstration test beds Training structures for academics and professionals Industrial toolsets for Intelligent Content handling