SAMT2009
From semanticweb.org
| SAMT2009 | |
|---|---|
4th International Conference on Semantic and Digital Media Technologies
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| Start | December 2 2009 (iCal) |
| End | December 4 2009 |
| Homepage: | Homepage |
| Location | |
| City: | Graz |
| Country: | Austria |
| Important dates | |
| Papers due: | May 25 2009 |
| Notification: | July 6 2009 |
| Camera ready due: | September 7 2009 |
Event in series SAMT
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The 4th International Conference on Semantic and Digital Media Technologies (SAMT '09) targets at narrowing the large disparity between the low-level descriptors that can be computed automatically from multimedia content and the richness and subjectivity of semantics in user queries and human interpretations of audiovisual media - The Semantic Gap.
Topics of interest include, but are not limited to:
- Semantic Analysis of Multimedia
- Knowledge assisted multimedia analysis
- Content-based multimedia analysis linked with natural language/speech processing
- Semantic Retrieval of Multimedia
- Semantic-driven multimedia indexing and retrieval
- Semantic retrieval of 3D objects
- Machine Learning and relevance feedback for finding semantics
- Semantic-driven multimedia content adaptation and summarization
- Semantic Metadata Management of Multimedia
- Metadata management for multimedia
- Multimedia ontologies and infrastructures
- Standards bridging the multimedia and knowledge domains
- Semantic User Interfaces for Multimedia
- Interfaces and personalization for interaction with large multimedia repositories
- Semantic media annotation
- Inference and machine learning for semi-automatic annotation
- Browsing multimedia archives
- Device-specific access to and adaptation of multimedia
- Semantics in Visualization and Computer Graphics
- illustrative depiction and rendering
- mapping meaning to presentation content
- smart virtual environments
- supporting knowledge discovery
- Applications of Semantic Multimedia
- Social multimedia tagging
- Context, user, network and semantics-aware media engineering
- Multimedia mash-ups
- Case studies with clear, innovative lessons learned