Video understanding remains a challenging task because video understanding models have many parameters to be trained and should capture detailed spatiotemporal contexts in video effectively. Recent methods have typically employed 3D convolution modules ...

Computational analysis and prediction of digital media interestingness is a challenging task, largely driven by subjective nature of interestingness. Several attempts were made to construct a reliable measure and obtain a better understanding of ...

We have attempted to recognize reverberant speech using a novel speech recognition system that depends on not only the spectral envelope and amplitude modulation but also frequency modulation. Most of the features used by modern speech recognition ...

Tools for efficiently summarizing and classifying video sequences are indispensable to assist in the synthesis and analysis of digital video. In this paper, we present a method for effective classification of different types of videos that uses the ...