Publication details
A Self
-organized System for Content-based Search in Multimedia
| Basic information | |
|---|---|
| Original title: | A Self-organized System for Content-based Search in Multimedia |
| Authors: | Jan Sedmidubský, Vlastislav Dohnal, Stanislav Bartoň, Pavel Zezula |
| Further information | |
|---|---|
| Citation: | SEDMIDUBSKÝ, Jan - DOHNAL, Vlastislav - BARTOŇ, Stanislav - ZEZULA, Pavel. A Self-organized System for Content-based Search in Multimedia. In IEEE International Symposium on Multimedia (ISM 2008). Los Alamitos, California 90720-1314 : IEEE Computer Society, 2008. ISBN 978-1-4244-4089-4, pp. 322-327. 15.12.2008, Berkeley, California, USA. |
| Original language: | English |
| Field: | Informatika |
| Type: | Article in Proceedings |
| Keywords: | self-organizing; social networking; searching; metric space; experimental evaluation |
We propose a self-organized and self-adapting system for content-based search in multimedia data. In particular, we build a semantic overlay over an existing peer-to-peer network. The self-organization of the overlay is obtained by using the social-network paradigm. The connections between peers are formed on the basis of a query-answer principle. The knowledge of answers to previous queries is exploited to route queries efficiently. At the same time, a randomized mechanism is used to explore new and unvisited parts of the network. In this way, the self-adaptable and robust system is built. Moreover, the metric space data model is used to achieve extensibility. The proposed concepts are verified on a network consisting of 2,000 peers and indexing 10 million images.
Related projects:
- Intelligent Models, Algorithms, Methods and Tools for the Semantic Web (realization)
- Distributed Index Structures for Similarity Searching
