Independent Component Analysis in Multimedia Modeling |
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| Abstract | Modeling of multimedia and multimodal data becomes increasingly important with the digitalization of the world. The objective of this paper is to demonstrate the potential of independent component analysis and blind sources separation methods for modeling and understanding of multimedia data, which largely refers to text, images/video, audio and combinations of such data.
We review a number of applications within single and combined media with the hope that this might provide inspiration for further research in this area. Finally, we provide a detailed presentation of our own recent work on modeling combined text/image data for the
purpose of cross-media retrieval. |
| Keywords | multimedia, independent component analysis, blind source separation |
| Type | Conference paper [With referee] |
| Conference | Fourth International Symposium on Independent Component Analysis and Blind Source Separation |
| Editors | Shun-ichi Amari, Shoji Makino, Andrzej Cichocki, Noboru Murata |
| Year | 2003 Month April pp. 687-696 |
| Address | Nara, Japan |
| Note | Invited Paper |
| Electronic version(s) | [pdf] |
| BibTeX data | [bibtex] |
| IMM Group(s) | Intelligent Signal Processing |