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Motion analysis and tracking often relies on multimodal signals, e.g., video, depth map, motion capture (MoCap), due to the completeness of information they jointly provide. The joint analysis of multimodal signals requires to know the correct timing, i.e., the signals to be aligned. In this paper we propose an approach to automatically estimate the correct matching and alignment between a video and...
Music Structural Analysis (MSA) algorithms analyze songs with the purpose of automatically retrieving their large-scale structure. They do so from a feature-based representation of the audio signal (e.g., MFCCs, chromagram), which is usually hand-designed for that specific application. In order to design a proper audio representation for MSA, we need to assess which musical properties are relevant...
Several paradigms for high-level music descriptions have been proposed to develop effective system for browsing and retrieving musical content in large repositories. Such paradigms are based on either categorical or dimensional models. The interest in dimensional models has recently grown a great deal, as they define a semantic relation between concepts through graded descriptions. One problem that...
The widespread diffusion of portable devices capable of capturing high-quality multimedia data, together with the rapid proliferation of media sharing platforms, has determined an incredible growth of user-generated content available online. Since it is hard to strictly regulate this trend, illegal diffusion of copyrighted material is often likely to occur. This is the case of audio bootlegs, i.e...
Search and retrieval of songs from a large music repository usually relies on added meta-information (e.g., title, artist or musical genre); or on specific descriptors (e.g. mood); or on categorical music descriptors; none of which can specify the desired intensity. In this work, we propose an early example of semantic text-based music search engine. The semantic description takes into account emotional...
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