Feature-based similarity retrieval has become an important research issue in multimedia database systems. The features of multimedia data are useful for discriminating between multimedia objects (e g documents, images, video, music score, etc.). For example, images are represented by their color histograms, texture vectors, and shape descriptors, and are usually high-dimensional data. The perfo...

Pulmonary vascular tree segmentation is gaining importance since it is one of the fundamental basis for different applications, such as the detection of interstitial pneumonia (IP), pulmonary emboli etc. Such an application will require an accurate and reliable segmentation of pulmonary vessels. The accuracy of this preprocessing stage is bound to influence the accuracy in computer aided diagno...

We are investigating techniques for providing smooth transitions when simplifying large, static geometric models with texture-based representations (or impostors). Traditionally, textures have been used to replace complex geometry, for example the books on a shelf or the complex foliage on a tree. Using textures in a more general manner is a relatively new area of research. The key idea is that...

Progressive texture synthesis can provide an added functional advantage to existing texture synthesis algorithms, which are time consuming and fail to deliver in some application areas. To provide practical solutions to this challenge we have previously proposed a Discrete Wavelet Transform (DWT) based texture synthesis algorithm for 2D surfaces. In this paper we propose the extension of this a...

To detect smoke regions from video clips, a novel dynamic texture descriptor is proposed with Surfacelet transform and hidden Markov tree (HTM) model. The image sequence is multi-scale decomposed by a pyramid model, and the signals are decomposed to different directions using 3D directional filter banks. Then a 3D HMT model is built for obtained coefficients from Surfacelet transform with both ...

The research presented in this article is aimed at developing an automated imaging system for classification of tissues in medical images obtained from Computed Tomography (CT) scans. The article focuses on using multi-resolution texture analysis, specifically: the Haar wavelet, Daubechies wavelet, Coiflet wavelet, and the ridgelet. The algorithm consists of two steps: automatic extraction of t...

Textures play an important role in image classification. This paper proposes a high performance texture classification method using a combination of multiresolution analysis tool and linear regression modelling by channel elimination. The correlation between different frequency regions has been validated as a sort of effective texture characteristic. This method is motivated by the observation ...

Peptide identification by tandemmass spectrometry (MS/MS) and database searching is becoming the standard high-throughput technology in many areas of the life sciences. The analysis of post-translational modifications (PTMs) is a major source of complications in this area, which calls for efficient computational approaches. In this paper we describe PTMSearch, a novel algorithm in which the PTM...

Figure 13: A climbing plant growing on the tree from the previous figure is above a threshold Nmin. If these conditions are not satisfied, production p11 removes (sheds) the branch from the tree using the cut symbol %. Simulations. The competition for light between tree branches is manifested by two phenomena: reduced branching or dormancy Figure 14: A model of deciduous trees competing for lig...

Because of the smooth interaction of tree systems, the billboard and crossed-plane techniques of image-based rendering (IBR) have been used for tree visualization for many years. However, both the billboard-based tree model (BBTM) and the crossed-plane tree model (CPTM) have several notable limitations; for example, they give an impression of slicing when viewed from the top side, and they prod...