Correspondence analysis is required for many applications such as multimedia communication and 3-D tele-presence. Current intensity-based approaches model intensity differences of corresponding points in the leftand right-eye images with Gaussian distribution. In this contribution, the statistical characteristics of intensity differences of corresponding points were studied using natural stereo...

The capability of the correlation noise model (CNM) to describe the noise distribution between the original frame and its side information (SI) plays a notable role in the coding efficiency of Wyner-Ziv video coding (WZVC) paradigm. One of the problems of the most available Laplacian-based CNM is that it may fail for high motion sequences or long group of picture (GOP) sizes. To solve this prob...

This paper presents a statistical algorithm using Maximum A Posteri­ ori (MAP) estimation for the enhancement of single channel speech， contami­ nated by the additive noise， under the blind framework. The algorithm uses Generalized Gaussian Distribution (GGD) function as a prior probability to model magnitude of the Spectral Components (SC) of the speech and noise in the frequency domain. An es...

In speech recognition, acoustic modeling mismatches for the shapes of distributions are unavoidable when we use fixed-shape base distributions, such as the Gaussian. This paper proposes a new base distribution called the "generalized Laplacian distribution (GLD)", which offers more flexibility in terms of the distribution shape. The effectiveness of the GLD-based modeling is proven through spee...

This paper investigates the multiplicative spread spectrum watermarking method for the image. The information bit is spreaded into middle-frequency Discrete Cosine Transform (DCT) coefficients of each block of an image using a generated pseudo-random sequence. Unlike the conventional signal modeling, we suppose that both signal and noise are distributed with Laplacian distribution, because the ...

Spectral graph theory gives an algebraical approach to analyze the dynamics of a network by using the matrix that represents the network structure. However, it is not easy for social networks to apply the spectral graph theory because the matrix elements cannot be given exactly to represent the structure of a social network. The matrix element should be set on the basis of the relationship betw...

Spectral methods that are based on eigenvectors and eigenvalues of discrete graph Laplacians, such as DiffusionMaps and Laplacian Eigenmaps, are often used for manifold learning and nonlinear dimensionality reduction. It was previously shown by Belkin&Niyogi (2007, Convergence of Laplacian eigenmaps, vol. 19. Proceedings of the 2006 Conference on Advances in Neural Information Processing System...

Scalable Wyner-Ziv video coding is desirable, especially for mobile devices with limited computational resources and bandwidth. However, the conventional bit-plane representation used in hybrid video coding does not work well in the scenario of Wyner-Ziv coding. As we know, the bit-plane representation is closely related to the quantization. In this paper, a new bit-plane representation with op...