In this paper, an HMM-embedded unsupervised learning approach is proposed to detect the music events by grouping the similar segments of the music signal. This approach can cluste...
In this paper, we present the association of audio and video signatures for short video clip detection. First, we present an audio signature based on the spectral flatness measure...
Benjamin Senechal, Denis Pellerin, Laurent Besacie...
— In this paper, we propose a new random-valued impulse noise detector from images using level detection. In our method, we use directional windows in order to search a level reg...
We introduce a notion, behavioral distance, for evaluating the extent to which processes—potentially running different programs and executing on different platforms—behave si...
In this paper, we present a novel content-based image error detection and error concealment algorithm to improve the image quality degraded during its transmission over wireless c...