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Book Sections Year : 2017

Multiview approaches to event detection and scene analysis


This chapter addresses sound scene and event classification in multiview settings, that is, settings where the observations are obtained from multiple sensors, each sensor contributing a particular view of the data (e.g., audio microphones, video cameras, etc.). We briefly introduce some of the techniques that can be exploited to effectively combine the data conveyed by the different views under analysis for a better interpretation. We first provide a high-level presentation of generic methods that are particularly relevant in the context of multiview and multimodal sound scene analysis. Then, we more specifically present a selection of techniques used for audiovisual event detection and microphone array-based scene analysis.
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Dates and versions

hal-01620341 , version 1 (16-11-2017)



Slim Essid, Sanjeel Parekh, Ngoc Q. K. Duong, Romain Serizel, Alexey Ozerov, et al.. Multiview approaches to event detection and scene analysis. Tuomas Virtanen; Mark D. Plumbley; Dan Ellis. Computational Analysis of Sound Scenes and Events, Springer, pp.243-276, 2017, 978-3319634494. ⟨10.1007/978-3-319-63450-0_9⟩. ⟨hal-01620341⟩
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