Abstract:
Determining similarities among data objects is a core task of content-based multimedia retrieval systems. Approximating data object contents via flexible feature represen...Show MoreMetadata
Abstract:
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.
Date of Conference: 19-23 July 2010
Date Added to IEEE Xplore: 23 September 2010
ISBN Information: