We propose a content-adaptive analysis and representation framework to discover events using audio features from ünscriptedm̈ultimedia such as sports and surveillance for summarization. The proposed analysis framework performs an inlier/outlier based temporal segmentation of the content. It is motivated by the observation that ı̈nterestingëvents in unscripted multimedia occur sparsely in a backgr...

This paper describes the importance of GAIT Recognition where identification of human being from far distance without any sort of co-operation from his side is performed. Motive to develop automatic identification of human being using GAIT recognition method that to find an application which provide high security in places such as banking sector, military, parking slots. Work is performed on vi...

We compute the cosmological background radiation of gamma rays and neutrinos due to neutralino annihilation in evolving dark matter halos, assuming the observed dark matter is comprised of thermally excited neutralinos in the MSSM. The spectrum of this gamma-ray background radiation does not show strong annihilation line features, but could amount to a significant fraction of the extragalactic ...

A tree-based approach to integrated action segmentation, localization and recognition is proposed. An action is represented as a sequence of joint hog-flow descriptors extracted independently from each frame. During training, a set of action prototypes is first learned based on a k-means clustering, and then a binary tree model is constructed from the set of action prototypes based on hierarchi...

This paper shows an image/video application using topological invariants for human gait recognition. Using a background subtraction approach, a stack of silhouettes is extracted from a subsequence and glued through their gravity centers, forming a 3D digital image I . From this 3D representation, the border simplicial complex ∂K(I) is obtained. We order the triangles of ∂K(I) obtaining a sequen...

In this paper we address the problem of appropriate modelling of shadows in color images. While previous works compared the different approaches regarding their model structure, a comparative study of color models has still missed. This paper attacks a continuous need for defining the appropriate color space for this main surveillance problem. We introduce a statistical and parametric shadow mo...

Objectives To provide information about the genetic relationships and mechanism underlying carbapenem resistance in Pseudomonas aeruginosa clinical isolates of a hospital in China. Materials and methods One hundred and sixty P. aeruginosa strains were isolated from a hospital in China. Susceptibility to 14 antimicrobial agents was determined by antimicrobial susceptibility testing. Multilocus...

Motion saliency detection aims at finding the semantic regions in a video sequence. It is an important pre-processing step in many vision applications. In this paper, we propose a new algorithm, Temporal Spectral Residual, for fast motion saliency detection. Different from conventional motion saliency detection algorithms that use complex mathematical models, our goal is to find a good tradeoff...

We evaluate and compare the gravitational wave and density perturbation contributions to the cosmic microwave background radiation, on the basis of the same power law inflationary model. The inflation to radiation transition is treated in this paper as instantaneous, but a model is constructed to allow for a smooth transition from the radiation to the matter dominated eras. The equations are nu...

The southern and northern Japanese populations of the medaka fish provide useful tools to gain insights into the comparative genomics and speciation of vertebrates, because they can breed to produce healthy and fertile offspring despite their highly divergent genetic backgrounds compared with those of human-chimpanzee. Comparative genomics analysis has suggested that such large genetic differen...