Joint BOEMIE-LIVE 2007
1st International Workshop on Knowledge Acquisition from Multimedia Content (KAMC 2007) co-located with the International Conference on Semantics and Digital Media Technologies (SAMT 2007) 5-7 December, Genova, Italy
Motivation and Scope
In recent years significant advances have been made in the area of automatic extraction of low-level features from audiovisual content. However, little progress has been achieved in the identification of high-level semantic features or the effective combination of semantic features derived from different modalities. Knowledge acquisition is becoming a key-enabling factor of the above tasks towards more scalable and reliable solutions, and thus its automation is becoming critical.
As the deployment of knowledge enhances the robustness of extraction while on the other hand the continuous extraction of semantic information can enrich this knowledge, synergistic approaches that combine multimedia extraction and knowledge evolution in a bootstrapping common framework to introduce new opportunities in semantic multimedia applications. Integration with additional sources of information, e.g. by using human annotation tools or real-time event services, may further simplify and disambiguate semantic multimedia information systems. Moreover, adaptation to a particular domain, for example to sports events, such as the Olympic games, is essential in order to reduce the complexity of multimedia analysis. In this context, unified modeling and representation of multimedia and domain-specific knowledge, ontology evolution, and standard and non-standard inference services for multimodal semantic knowledge fusion, form cutting edge technologies
As the deployment of knowledge enhances the robustness of extraction while on the other hand the continuous extraction of semantic information can enrich this knowledge, synergistic approaches that combine multimedia extraction and knowledge evolution in a bootstrapping common framework to introduce new opportunities in semantic multimedia applications. Integration with additional sources of information, e.g. by using human annotation tools or real-time event services, may further simplify and disambiguate semantic multimedia information systems. Moreover, adaptation to a particular domain, for example to sports events, such as the Olympic games, is essential in order to reduce the complexity of multimedia analysis. In this context, unified modeling and representation of multimedia and domain-specific knowledge, ontology evolution, and standard and non-standard inference services for multimodal semantic knowledge fusion, form cutting edge technologies
This workshop shall introduce briefly related research activities of two European research projects, BOEMIE and LIVE, which both aim to enhance the automatic understanding of Olympic sports events. Whereas BOEMIE concentrates on ontology evolution and learning, LIVE targets real-time recommender systems for broadcasters able to analyse Olympic sport events and recommend suitable data from a production archive.
| Attachment | Size |
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| Genova-workshop-more.pdf | 239.06 KB |
| KAMC07-Dr.C.Spyropoulos_Presentation.pdf | 2.85 MB |