Imagesemantics: User-Generated Metadata, Content Based Retrieval & Beyond
| Year | 2007 |
|---|
With the advent of Web 2.0 technologies a new attitude towards processing contents in the Internet has emerged. Nowadays it is a lot easier to create, share and retrieve multimedia contents on the Web. However, with the increasing amount in contents the retrieval process becomes more complex and often leads to inadequate search results. One main reason is summarized easily: Approaches to image clustering and retrieval usually either stick solely to the images low-level features or their semantic tags. However, this is frequently inappropriate since the real semantics of an image can only be derived from the combination of low-level features and semantic tags. Consequently, we investigated a more holistic view on semantics based on a system called Imagesemantics that tries to close the gap between both approaches by combining them.
Details
K. Tochtermann, H. Maurer, F. Kappe, A. Scharl (Eds.): Proceedings of I-Media'07, International Conference on New Media Technology and Semantic Systems, Graz, Austria, September 5 - 7, 2007, J.UCS (Journal of Universal Computer Science) Proceedings, pp. 41-48, 2007
Authors
- Marc Spaniol
- Ralf Klamma
- M. Lux
Presented at
I-Media'07, International Conference on New Media Technology and Semantic Systems, 2007 , Graz , AT.
Published in
Proceedings of I-Media'07, International Conference on New Media Technology and Semantic Systems , by K. Tochtermann, H. Maurer, F. Kappe, A. Scharl , p. 41-48 ; J.UCS (Journal of Universal Computer Science) .
Peter Chen Award 2020 goes to Prof. Matthias Jarke 