Intellimedia Systems: Research and Applications at the Intersection of Multimedia and Artificial Intelligence
Identifieur interne : 000C08 ( Main/Exploration ); précédent : 000C07; suivant : 000C09Intellimedia Systems: Research and Applications at the Intersection of Multimedia and Artificial Intelligence
Auteurs : Thomas Rist [Allemagne]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2002.
English descriptors
- Teeft :
- Animated interface agents, Animated presentation agents, Artificial intelligence, Available transformations, Avatar arena, Different approaches, Entertainment program, Fruitful combination, Graphical representations, Graphics, Information delivery, Information presentation, Information services, Intelligent usage, Intelligent user interfaces, Intellimedia, Intellimedia systems, Interactive, Interactive performances, Interface, Knowledge representation, Market place, Mobile access, Mobile devices, Mobile users, Multimedia, Multimedia systems, Multimedia user interfaces, Multiple media, Multiple modalities, Music program, Music programs, Music titles, Ongoing evolution, Other hand, Preference model, Present information, Presentation agents, Presentation systems, Presentation tasks, Product information, Rist, Same transformation, Scenario, Source graphics, Source image, Task performance, Tiny displays, Training phase, Transformation parameters, User.
Abstract
Abstract: Solutions to challenging applications often emerge from a fruitful combination of knowledge, methods, and techniques from different disciplines. This talk introduces Intellimedia, a promising research field located at the intersection of research on Multimedia Systems and Artificial Intelligence. In essence, Intellimedia research aims at the innovative and intelligent usage of multiple media to improve human-machine interfaces as well as computer-mediated human-human communication. Hereby the attribute “intelligent” eventually refers to the deployment of AI techniques, such as knowledge representation, planning, rule-based reasoning, constraint satisfaction, and machine learning. The broad variety of potential Intellimedia application fields will be illustrated by a number of selected scenarios taken from ongoing projects. Among these scenarios are: electronic show rooms in which life-like characters convey product information to the user in the form of possibly interactive performances, mobile access to multimedia content on the web, and personalized in-car entertainment services.
Url:
DOI: 10.1007/3-540-45683-X_4
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en">Abstract: Solutions to challenging applications often emerge from a fruitful combination of knowledge, methods, and techniques from different disciplines. This talk introduces Intellimedia, a promising research field located at the intersection of research on Multimedia Systems and Artificial Intelligence. In essence, Intellimedia research aims at the innovative and intelligent usage of multiple media to improve human-machine interfaces as well as computer-mediated human-human communication. Hereby the attribute “intelligent” eventually refers to the deployment of AI techniques, such as knowledge representation, planning, rule-based reasoning, constraint satisfaction, and machine learning. The broad variety of potential Intellimedia application fields will be illustrated by a number of selected scenarios taken from ongoing projects. Among these scenarios are: electronic show rooms in which life-like characters convey product information to the user in the form of possibly interactive performances, mobile access to multimedia content on the web, and personalized in-car entertainment services.</div>
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