MUFIN: A Multi-Feature Indexing Network

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Authors

BATKO Michal DOHNAL Vlastislav NOVÁK David SEDMIDUBSKÝ Jan

Year of publication 2009
Type Article in Proceedings
Conference 2nd International Workshop on Similarity Search and Applications
MU Faculty or unit

Faculty of Informatics

Citation
Field Informatics
Keywords similarity search; content-based image retrieval; metric space; MPEG-7 descriptors; peer-to-peer search network
Description The Multi-Feature Indexing Network (MUFIN) is a general purpose search engine that satisfies the extensibility and scalability requirements. The extensibility is ensured by adopting the metric space to model similarity, so the MUFIN can evaluate queries over a wide variety of data domains compared by metric distance functions. The scalability is achieved by utilizing the paradigm of structured peer-to-peer networks, where the computational workload of query execution is distributed over multiple independent peers which can work in parallel. We demonstrate these unique capabilities of MUFIN on a large database consisting of 100 million images indexed by five MPEG-7 descriptors. In the demonstration, we use a Web user interface to search and browse the databases online.
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