In this paper we propose a voting-based object boundary reconstruction approach. Tensor voting has been studied by many people recently, and it can be used for boundary estimation...
We study the problem of affective content analysis. In this paper we think of affective contents as those video/audio segments, which may cause an audience’s strong reactions or...
In this work we strive to find an optimal set of acoustic features for the discrimination of speech, monophonic singing, and polyphonic music to robustly segment acoustic media st...
—We present a method for segmenting music with different grid levels in order to properly quantize note values in the transcription of music. This method can be used in automatic...
Segmentation of continuous audio is important for speaker indexing. The reliability of models in speaker indexing depends much on segmentation. Commonly used method is based on th...