With the rapid growth of images database and computer networks broadcasting, the legal issues of multimedia copyright protection have become very important. In this paper, a method for video object watermarking using GVF snake and HU moments is proposed, providing copyright protection of the semantic content. To achieve this goal, the contour of the objects of an image is initialised by the use...

Finding shapes in image databases is a challenging topic in content based retrieval. In this paper the goal is to find database images which contain shapes similar to the query of the user. Unlike most solutions to this problem, the algorithm presented in this paper is meant to cope with changes in rotation, scale, translation, and lossy compression noise. A Java application was built which use...

Character recognition is one of important applications for pattern recognition. Feature extraction is the most important problem in character recognition. In this paper, we have researched on feature extraction for character recognition of NaXi pictograph. The characteristics of NaXi pictograph are firstly analyzed. Four kinds of features, including permeability number, coarse grid, directional...

We review recent work to determine the strange quark mass ms as well as the proposal to determine |Vus| using hadronic τ decay data. The recent update of the strange spectral function by OPAL and their moments of the invariant mass distribution are employed. Our results are |Vus| = 0.2208± 0.0034 and ms(2GeV) = 81±22 MeV. Our result is already competitive to the standard extraction of |Vus| fro...

A novel approach of Content Based Image Retrieval(CBIR), which combines color, texture and shape descriptors to represent the features of the image, is discussed in this paper. The proposed scheme is based on three noticeable algorithms: color distribution entropy(CDE), color level co-occurrence(CLCM) and invariant moments. CDE takes the correlation of the color spatial distribution in an image...

Rotationally invariant moments constitute important techniques applicable to a versatile number of pattern recognition applications. Although the moments are invariant with regard to spatial transformations, in practice, due to the finite screen resolution, the spatial transformation themselves affect the invariance. This phenomenon jeopardizes the quality of pattern recognition. Therefore, thi...

Super-resolution (SR) with probabilistic motion estimation is a successful algorithm to circumvent the limitation of motion estimation upon conventional superresolution methods. However, the algorithm can’t match similar patches with rotation or scale. This paper presents an efficient improved algorithm by introducing Zernike moments as representation of image invariant features into similarity...

We consider a class of queueing networks with state-dependent arrival and service rates. Under the uniform (in state) stability condition, we establish several moment stability properties of the queue length process: (i) the unique invariant measure of the queue length process admits a finite moment generating function in a neighborhood of zero; (ii) the expected value of unbounded (and possibl...

We consider a class of stochastic networks with state-dependent arrival and service rates. The state-dependency is described via multi-dimensional birth/death processes, where the birth/death rates are dependent upon the current population size in the system. Under the uniform (in state) stability condition, we establish several moment stability properties of the system: (i) the unique invarian...

– We develop a scale-invariant truncated Lévy (STL) process to describe physical systems characterized by correlated stochastic variables. The STL process exhibits Lévy stability for the distribution, and hence shows scaling properties as commonly observed in empirical data; it has the advantage that all moments are finite and so accounts for the empirical scaling of the moments. To test the po...