Audio similarity retrieval engine
Proceedings of the Third International Conference on SImilarity Search and APplications
Visual video retrieval system using MPEG-7 descriptors
Proceedings of the Third International Conference on SImilarity Search and APplications
The state of the art in content-based image retrieval in P2P networks
ICIMCS '10 Proceedings of the Second International Conference on Internet Multimedia Computing and Service
SG'11 Proceedings of the 11th international conference on Smart graphics
Proximity-Based order-respecting intersection for searching in image databases
AMR'10 Proceedings of the 8th international conference on Adaptive Multimedia Retrieval: context, exploration, and fusion
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It has become customary that practically any information can be in a digital form. However, searching for relevant information can be complicated because of: (1) the diversity of ways in which specific data can be sorted, compared, related, or classified, and (2) the exponentially increasing amount of digital data. Accordingly, a successful search engine should address problems of extensibility and scalability. The Multi-Feature Indexing Network (MUFIN) is a general purpose search engine that satisfies these requirements. The extensibility is ensured by adopting the metric space to model the similarity, so 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 database of 100 million images indexed according to a combination of five MPEG-7 descriptors.