This notebook paper presents a system evaluated in the Surveillance Event Detection (SED) task of TRECVid 2010 campaign. We investigate a generic statistical approach applied to seven event classes defined by the SED task. Our video representation is based on local space-time descriptors which are vectorquantized and aggregated into histograms within short temporal windows and spatial regions d...

in this work, the structural and electronic properties of folic acid molecule on functionalized (7,0)zigzag single-walled carbon nanotube was studied in gas phase on the basis of density functionaltheory (dft). furthermore, covalent interaction of folic acid with single-walled carbon nanotube wasinvestigated and its quantum molecular descriptors and binding energies were calculated. the dftb3ly...

the 13c chemical shifts for a series of compounds which includes carboxylic acids, aldehydes, ethers, ketones and hydrocarbons were simulated by using the parametric techniques. the observed chemical shifts were related to numerically encoded structural parametes called descriptors. two new electronic descriptors were added to the previous descriptors. ploting of experimental versus calculated ...

Non-emergency calls, namely the 311 calls, capture different complaints of city residents and visitors about a variety of experienced problems in a city. The 311 calls in New York City (NYC) are publicly available and can provide an interesting status of the city. In this paper, we share a summary of an extensive analysis that we are performing in the 311 data of NYC, as well as a data-based pr...

Introduction: Sniffin’ Sticks smell identification test is a tool used for evaluation of olfactory function but the results are culture-dependent. It relies on the subject’s familiarity to the odorant and descriptors. This study aims to develop the Malaysian version of Sniffin’ Sticks smell identification test suitable for local population usage. Materials and Methods:   The o...

Binary Logistic Regression (BLR) has been developed as non-linear models to establish quantitative structure- activity relationships (QSAR) between structural descriptors and biochemical activity of carbonic anhydrase inhibitors. Using a training set consisted of 21 compounds with known ki values, the model was trained and tested to solve two-class problems as active or inactive on the basi...

This paper studies the use of temporal consistency to match appearance descriptors and handle complex ambiguities when computing dynamic depth maps from stereo. Previous attempts have designed 3D descriptors over the spacetime volume and have been mostly used for monocular action recognition, as they cannot deal with perspective changes. Our approach is based on a state-of-the-art 2D dense appe...

Duplicates or near-duplicates mining in video sequences is of broad interest to many multimedia applications. How to design an effective and scalable system, however, is still a challenge to the community. In this paper, we present a method to detect recurrent sequences in large-scale TV streams in an unsupervised manner and with little a priori knowledge on the content. The method relies on a ...

The media coverage of live events can be turned into a more immersive experience if content from multiple sources, e.g., professional and user generated content, are combined. We have implemented a visual matching approach to establish or improve temporal and visual synchronisation of such heterogeneous content. The approach is based on matching of SIFT descriptors and is implemented on the GPU...

In this paper, we investigate the problem of video classification into predefined genre. The approach adopted is based on spatial and temporal descriptors derived from short video sequences (20 seconds). By using support vector machines (SVMs), we propose an optimized multiclass classification method. Five popular TV broadcast genre namely cartoon, commercials, cricket, football and tennis are ...