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ICMCS
2010
IEEE

A comparative study of similarity measures for content-based multimedia retrieval

9 years 11 days ago
A comparative study of similarity measures for content-based multimedia retrieval
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 state-of-the-art similarity measures applicable to flexible feature signatures with respect to their qualities of effectiveness and efficiency. Furthermore, we study the behavior of the similarity measures by discussing their properties. Our findings can be used in guiding the development of content-based retrieval applications for numerous domains. Keywords-- similarity measures, content-based multimedia retrieval, evaluation
Christian Beecks, Merih Seran Uysal, Thomas Seidl
Added 09 Nov 2010
Updated 09 Nov 2010
Type Conference
Year 2010
Where ICMCS
Authors Christian Beecks, Merih Seran Uysal, Thomas Seidl
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