Given a image photographed somebody in action, we describe a dual-generative-model approach for estimating human body pose from silhouette. In contrast to existing techniques, which mostly learn regression model whereby make inference of body pose for unknown input [1, 2, 6, 7], we transform the problem into searching of the best pair of upper pose and lower pose. This searching strategy can re...

This paper presents a method for extracting two key metrical properties, the beat and the tatum, from acoustic signals of popular music. The method is computationally very efficient while performing comparably to earlier methods. High efficiency is achieved through multirate accent analysis, discrete cosine transform periodicity analysis, and phase estimation by adaptive comb filtering. During ...

This contribution considers the data-aided (DA) maximum-likelihood carrier phase ambiguity resolution algorithm for coded M-PSK signaling. We derive analytical performance results of the algorithm when operating in the presence of phase estimation errors. As the use of a pilot sequence reduces the spectral efficiency of the system, we determine analytically the minimal pilot sequence length for...

In this paper the authors present an approach to provide efficient low-complexity encoding for the block-based video coding scheme. The authors present a method based on removing the most time-consuming task, that is motion estimation, from the encoder. Instead the decoder will perform motion prediction based on the available decoded frame and send the predicted motion vectors to the encoder. T...