This paper addresses the problem of automatic detection of salient video segments for real-world applications such as corporate training based on associated speech transcriptions....
Abstract. While classical approaches to unsupervised morphology acquisition often rely on metrics based on information theory for identifying morphemes, we describe a novel approac...
We propose a novel technique for the automatic classification of vocal and non-vocal regions in an acoustic musical signal. Our technique uses a combination of harmonic content a...
Abstract. We present a new learning to rank framework for estimating context-sensitive term weights without use of feedback. Specifically, knowledge of effective term weights on ...
This paper will focus on issues relating to the building of multimedia presentations under a certain framework through a newly developed e-learning tool. The issues addressed incl...