Merih Seran Uysal

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Determining similarities among data objects is a core task of content-based multimedia retrieval systems. Approximating data object contents via flexible feature representations, such as feature signatures, multimedia retrieval systems frequently determine similarities among data objects by applying distance functions. In this paper, we compare major(More)
Determining similarity is a fundamental task in querying multimedia databases in a content-based way. For this challenging task, there exist numerous similarity models which measure the similarity among objects by using their contents. In order to cope with voluminous multimedia data, similarity models are supposed to be both effective and efficient. To(More)
The Earth Mover's Distance, proposed in computer vision as a distance-based similarity model reflecting the human perceptual similarity, has been widely utilized in numerous domains for similarity search applicable on both feature histograms and signatures. While efficiency improvement methods towards the Earth Mover's Distance were frequently investigated(More)
The Earth Mover's Distance which is proposed in computer vision as a distance-based similarity model has been widely used and investigated in various domains for similarity search. Although there exists the opportunity to apply this well-known similarity model reflecting the human perceptual similarity both on feature histograms and signatures as feature(More)
The recent rapid growth of scientific data necessitates efficient similarity search techniques for which convenient object representation models are of vital importance. Feature signatures denoting highly flexible object feature representations have increasingly gained attention for which corresponding efficiency improvement techniques are developed. In(More)
The highly increasing amount of multimedia data leads to extremely growing databases which support users in searching and exploring the database contents. Content-based searching for similar objects inside such vivid and voluminous multimedia databases is typically accompanied by an immense amount of costly similarity computations among the stored data(More)
Determining similarities among multimedia objects is a fundamental task in many content-based retrieval, analysis, mining, and exploration applications. Among state-of-the-art similarity measures, the Signature Quadratic Form Distance has shown good applicability and high quality in comparing flexible feature representations. In order to improve the(More)