3 accepted papers
We tackle audio-visual inpainting, the problem of completing an image in such a way to be consistent with the sound associated to the scene. To this end, we propose a multimodal, audio-visual inpainting method (AVIN), and show how to leverage sound to reconstruct semantically consistent images. AVIN…
Acoustic images constitute an emergent data modality for multimodal scene understanding. Such images have the peculiarity to distinguish the spectral signature of sounds coming from different directions in space, thus providing richer information than the one derived from mono and binaural microphon…
In this paper, we propose the use of a new modality characterized by a richer information content, namely acoustic images, for the sake of audio-visual scene understanding. Each pixel in such images is characterized by a spectral signature, associated to a specific direction in space and obtained by…