Multimedia plays an important role in the web-based learning environment. In this paper, we validate management and retrieval of large multimedia collections through high-level semantics. A novel algorithm is proposed for automatic annotation of image based on support vector machine and statistical learning. In addition, we construct cross-media indexing for multi-modal data upon the annotation result to support cross-media search. Experiments show that our algorithm can interpret multimedia semantics accurately and cross-media indexing can support cross-media search effectively. © Springer-Verlag 2004.
CITATION STYLE
Zhuang, Y., Wu, C., & Liu, F. W. X. (2004). Improving Web-Based Learning: Automatic Annotation of Multimedia Semantics and Cross-Media Indexing. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3143, 255–262. https://doi.org/10.1007/978-3-540-27859-7_33
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