For almost a decade, Content-Based Information Retrieval has been an active research area, yet two fundamental problems remain largely unsolved: how best to learn users' query concepts, and how to measure perceptual similarity. To learn subjective query concepts, most systems use relevance

for perceptual image similarity. The methods presented here can be used to evaluate and compare different image-retrieval systems.

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method to measure the perceptual similarity between audio clips. These perceptual features focus on users ’ personal experience, which can be very helpful for audio retrieval across different databases. In addition, indexing and audio matching methods are introduced to speed up the retrieval process

The goal of the present study was to devise a means of representing languages in a perceptual similarity space based on their overall sound structures. In Experiment 1, native English listeners performed a free classification task in which they grouped 17 diverse languages based on their sound

Several applications in the field of content-based interaction with music repositories rely on measures which estimate the perceived similarity of music. These applications include automatic genre recognition, playlist generation, and recommender systems. In this paper we study methods to evaluate

-mixtures and predict their smell. In three separate experiments, we asked 139 subjects to rate the pairwise perceptual similarity of 64 odorant-mixtures ranging in size from 4 to 43 mono-molecular components. We then tested alternative models to link odorant-mixture structure to odorant-mixture perceptual similarity

Abstract—We investigate perceptual similarity metrics for the content-based retrieval of natural textures. The goal is to find perceptually similar textures that may have significant differences on a point-by-point basis. The evaluation of such metrics typically requires extensive and cumbersome

In two experiments, the perceptual similarity between a strong tonal melody and various transpositions was investigated using a paradigm in which listeners compared the perceptual similarity of a melody and its transposition with that of the same melody and another transposition. The paradigm has

), assumes that subjects store category exemplars in memory. Classification decisions are based on the similarity of stimuli to the stored exemplars. It is assumed that the same multidimensional perceptual representation underlies performance in both the identification and Categorization paradigms. However