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Current retrieval systems can handle tens-of-thousands of music tracks but new systems need to aim at huge online music collections that contain tens-of-millions of tracks. ABSTRACT | The steep rise in music downloading over CD sales has created a major shift in the music industry away from physical media formats and towards online products and services.(More)
Recent developments in techniques for modeling, digitizing and visualizing 3D shapes has led to an explosion in the number of available 3D models on the Internet and in domain-specific databases. This has led to the development of 3D shape retrieval systems that, given a query object, retrieve similar 3D objects. For visualization, 3D shapes are often(More)
Shape matching is an important ingredient in shape retrieval, recognition and classification, alignment and registration, and approximation and simplification. This paper treats various aspects that are needed to solve shape matching problems: choosing the precise problem, selecting the properties of the similarity measure that are needed for the problem,(More)
Musical incipits are short extracts of scores, taken from the beginning. The RISM A/II collection [6] contains about half a million of them. This large collection size makes a ground truth very interesting for the development of music retrieval methods, but at the same time makes it very difficult to establish one. Human experts cannot be expected to sift(More)
The Network of Excellence AIM@SHAPE [1] has taken the initiative to organize a 3D shape retrieval evaluation event: SHREC-3D Shape Retrieval Contest [2]. The general objective is to evaluate the effectiveness of 3D-shape retrieval algorithms. 3D media retrieval is overlooked in most commercial search engines, while at the same time it is expected to(More)
This survey paper provides an overview of content-based music information retrieval systems, both for audio and for symbolic music notation. Matching algorithms and indexing methods are briefly presented. The need for a TREC-like comparison of matching algorithms such as MIREX at ISMIR becomes clear from the high number of quite different methods which so(More)
Most of the existing methods for measuring melodic similarity use one-dimensional textual representations of music notation, so that melodic similarity can be measured by calculating editing distances. We view notes as weighted points in a two-dimensional space, with the coordinates of the points reflecting the pitch and onset time of notes and the weights(More)