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National Technical University of Athens Department of Electrical and Computer Engineering Image, Video and Multimedia Systems Laboratory

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Presentation on theme: "National Technical University of Athens Department of Electrical and Computer Engineering Image, Video and Multimedia Systems Laboratory"— Presentation transcript:

1 National Technical University of Athens Department of Electrical and Computer Engineering Image, Video and Multimedia Systems Laboratory A ROADMAP IN MULTIMEDIA KNOWLEDGE TECHNOLOGIES Prof. STEFANOS KOLLIAS Image, Video and Multimedia Systems Laboratory Computer Science Division National Technical University of Athens May 15, 2002

2 National Technical University of Athens Department of Electrical and Computer Engineering Image, Video and Multimedia Systems Laboratory vs I. MULTIMEDIA-BASED KNOWLEDGE MANAGEMENT vs KNOWLEDGE-BASED MULTIMEDIA MANAGEMENT MPEG-7 generated progress in multimedia retrieval and management; focus on semantics is under development in MPEG-21. Knowledge Technologies should specify A/V descriptors, create hooks in Description Languages and update shared knowledge w.r.t. real information (semi or fully automatically). Automatic semantic analysis of A/V content is difficult; semantics are diversely understood and context dependent. The challenge: interweave multimedia analysis and A/V knowledge representation (integrate developments in MPEG-7/MPEG-21 and KT). Semantic Video Segmentation and Retrieval : to be combined with Evaluation in the Context of the video/video-shot description & available visual object representations (involving Tracking /Matching /Recognition).

3 National Technical University of Athens Department of Electrical and Computer Engineering Image, Video and Multimedia Systems Laboratory II. A SPECIFIC FRAMEWORK: ADAPTIVE KNOWLEDGE BASED HUMAN INTERACTION Speech, Face, Gesture and Emotion Recognition are the means to understand users intentions and goals. Virtual humans/agents in virtual/mixed reality environments are the means to personify in a natural way the machine part of the interaction. Integration of multimedia knowledge is required in both analysis of the multimodal systems input and synthesis of its output: inclusion of AV cues / descriptions in knowledge use and update of knowledge for and according to analysis of multimedia inputs, users profiles and context of interaction


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