A Self-organized System for Content-based Search in Multimedia
| Authors | |
|---|---|
| Year of publication | 2008 |
| Type | Article in Proceedings |
| Conference | IEEE International Symposium on Multimedia (ISM 2008) |
| MU Faculty or unit | |
| Citation | |
| Field | Informatics |
| Keywords | self-organizing; social networking; searching; metric space; experimental evaluation |
| Description | 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: |