Improving Web-Based Learning: Automatic Annotation of Multimedia Semantics and Cross-Media Indexing

11Citations
Citations of this article
3Readers
Mendeley users who have this article in their library.
Get full text

Abstract

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.

Cite

CITATION STYLE

APA

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

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free