The Scalable Distributed Two-layer Content Based Image Retrieval Data Store
Stanisław Deniziak, Tomasz Michno, Adam Krechowicz
DOI: http://dx.doi.org/10.15439/2015F272
Citation: Proceedings of the 2015 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 5, pages 827–832 (2015)
Abstract. The multimedia databases are becoming more and more popular nowadays. One of their main problem is huge data amount storage. Another problem with multimedia databases is querying. Traditional approaches, based on textual keywords are not sufficient. More advanced techniques incorporating image content features should be used. In this paper we propose new multimedia database structure with ability of Content Based Image Retrieval which is based on our previous work - Query by Shape method (QS). Query by Shape is a method which is based on decomposing an object into features. Each feature may consists of shape primitive, a color or a texture. In this paper we only use shape primitives features. As a storage data structure we propose modified Scalable Distributed Two-layer Data Structure in order to achieve high scalability and workload control. The modification incorporates adding tree structure, comparing algorithm and returning a set of results to the client.