The nature of statistical learning theory
The nature of statistical learning theory
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Relevance feedback: a power tool for interactive content-based image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
Multimodal Interaction for Mobile Learning
UAHCI '09 Proceedings of the 5th International on ConferenceUniversal Access in Human-Computer Interaction. Part II: Intelligent and Ubiquitous Interaction Environments
Web-based chinese calligraphy retrieval and learning system
ICWL'05 Proceedings of the 4th international conference on Advances in Web-Based Learning
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Knowledge is embedded in multimedia either explicitly or implicitly. In a practical application like e-learning, more than one type of media will take effect. In this paper, different ways of feature extraction from multimedia are explored. The media being analyzed and retrieved are not only images, but video, audio and even 3D terrains as well. New algorithms and experimental results are presented. As a result of the integration of multi-modal media, we lay down a foundation for exploiting media knowledge effectively, which can greatly enhance the performance of the high-level semantic retrieval desired by advanced applications such as e-learning.