Publication details
On Building a Self
-organizing Search System for Multimedia Retrieval
| Basic information | |
|---|---|
| Original title: | On Building a Self-organizing Search System for Multimedia Retrieval |
| Authors: | Jan Sedmidubský, Vlastislav Dohnal, Pavel Zezula |
| Further information | |
|---|---|
| Citation: | SEDMIDUBSKÝ, Jan - DOHNAL, Vlastislav - ZEZULA, Pavel. On Building a Self-organizing Search System for Multimedia Retrieval. In International Workshop on Multimedia and Semantic Technologies (MUST 2010). Red Hook, NY 12571, USA : IEEE Computer Society, 2010. ISBN 978-1-4244-6949-9, 7 pp. 20.5.2010, Busan, Korea. |
| Original language: | English |
| Field: | Informatika |
| Type: | Article in Proceedings |
| Keywords: | self-organizing system; bootstrap techniques; similarity search; multimedia retrieval |
In this paper, we build a self-organizing search system that operates in an unstructured P2P network and allows users to search for multimedia data by their content. In order to efficiently route queries to relevant peers, we define and evaluate several techniques for joining new peers to the existing network. These techniques create new relationships between peers --- on the basis of answers returned to queries --- so that a new peer will be able to efficiently forward queries and other peers will be immediately informed about its data. In addition, we demonstrate resilience of the system to sudden peer failures by studying system performance and quality of returned answers after a large number of peers is disconnected. The experiments, evaluated on a synthetic and real-life multimedia dataset, confirm that proposed techniques are suitable for dynamic environments.
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- Distributed Index Structures for Similarity Searching
- Similarity Searching in Very Large Multimedia Databases
- Matematické a inženýrské metody pro vývoj spolehlivých a bezpečných paralelních a distribuovaných počítačových systémů
