This paper deals with a novel method for object tracking. In the first step interest points are detected and feature descriptors around them are calculated. Sets of known points are created, allowing tracking based on...
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Solving Level Set Equation (LSE) by using the classical methods mostly based on the finite different approximations, normally costs a lot of computer time particularly when processing high dimensional large-scale data...
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Nonextensive entropy, the Tsallis-like time-dependent entropy (TDE), is developed to study the event-related potential signals ( ERPs ) in a cue, "E"-orientation discrimination task. The statistical characte...
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Common types of hearing impairment are caused mainly by a loss of nearly instantaneous compressive amplification in the inner ear. Therefore, it seems plausible that the loss might be compensated by fast frequency-dep...
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Common types of hearing impairment are caused mainly by a loss of nearly instantaneous compressive amplification in the inner ear. Therefore, it seems plausible that the loss might be compensated by fast frequency-dependent compression in the hearing aid. We simulated impaired listeners' auditory analysis of hearing-aid processed speech in noise using a functional auditory model. Using hidden Markov signal models, we estimated the mutual information between the phonetic structure of clean speech and the neural output from the auditory model, with fast and slow versions of hearing-aid compression. The long-term speech spectrum of amplified sound was identical in both systems, as specified individually by the widely accepted NAL prescription for the gain frequency response. The calculation showed clearly better speech-to-auditory information transmission with slow quasi-linear amplification than with fast hearing-aid compression, for speech in speech-shaped noise at signal-to-noise ratios ranging from -10 to +20 dB. copyright by EURASIP.
This paper proposes an approach to extract motion features from sequences of images of human behavior. A novel algorithm called two-dimensional continuous dynamic programming (2DCDP) is proposed, which can obtain a se...
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We propose a class of packet scheduling algorithms for streaming media. The importance level of a video packet is determined by its relative position within its group of pictures, taking into account the motion-textur...
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We propose a class of packet scheduling algorithms for streaming media. The importance level of a video packet is determined by its relative position within its group of pictures, taking into account the motion-texture discrimination and temporal scalab.lity. We generate a number of nested substreams, with more important streams embedding less important ones in a progressive manner. We model the streaming system as a queueing system, compute the run-time decoding failure probability of a frame in each substream based on effective bandwidth, and determine the optimum substream to be sent at any moment in time. The data within optimum substream is sent based on earliest-deadline-first scheduling, until the next channel report arrives, at which time the optimum substream is recomputed. From experiments with real video data, we show that our proposed scheduling scheme outperforms the conventional sequential sending scheme.
In order to extract accurate 3D models from uncalibrated image data it is necessary to upgrade the generated projective reconstructions to a metric space, a process known as auto calibration. The key challenge associa...
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The line spectral frequencies (LSF) are known to be the most efficient representation of the linear predictive coding (LPC) parameters from both the distortion and perceptual point of view. By considering the bounded ...
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Camera calibration is the essential step of obtaining 3D information from 2D views in the field of computer vision, which is widely used in the area of 3D reconstruction, navigation, visual supervision, etc. A camera ...
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In this paper, we model the underlying probability density function (PDF) of the speech line spectral frequencies (LSF) parameters with a Dirichlet mixture model (DMM). The LSF parameters have two special features: 1)...
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