We present a novel algorithm for detecting and localizing smoke in video. The first step of our method focuses on detecting the presence of smoke in video frames, while in the second part localization of smoke particles in the scene takes place. In our implementation, we take advantage of both appearance and motion information, so that we can extract robust and meaningful information. Machine l...

The event synchronisation task addresses the problem of aligning photo streams from different users temporally and identifying coherent events in the streams. In our approach, we first determine the visual similarity of image pairs. We determine visual similarity based on full matching of SIFT descriptors and based on VLAD, and compare the use of the two sets of similarity scores. We then build...

In this paper we propose to tackle human actions indexing by introducing a new local motion descriptor. Our proposed descriptor is based on two modeling, a spatial model and a temporal model. The spatial model is computed by projection of optical flow onto bivariate orthogonal polynomials. Then, the time evolution of spatial coefficients is modeled with a one dimension polynomial basis. To perf...

Antescofo is a modular anticipatory score following system that holds both instrumental and electronic scores together and is capable of executing electronic scores in synchronization with a live performance and using various controls over time. In its very basic use, it is a classical score following system, but in advanced use it enables concurrent representation and recognition of different ...

We present an example-based approach to pose recovery, using histograms of oriented gradients as image descriptors. Tests on the HumanEva-I and HumanEva-II data sets provide us insight into the strengths and limitations of an example-based approach. We report mean relative 3D errors of approximately 65 mm per joint on HumanEva-I, and 175 mm on HumanEva-II. We discuss our results using single an...

Electronic commerce appeared as a new way of managing businesses in the digital era. However, it has also been accelerated by recent pandemic situation. Retailers had to find strategies reaching customers online environment. Thus, concepts such multi-channel and omni-channel retailing have gained attention both retailers researchers this field. This paper aims at using text-mining approach orde...

This paper presents a novel method for learning classes of temporal sequences using a bag-of-features approach. Bag-of-features techniques have recently been introduced with success in the computer vision community for image classification, object recognition and categorization. We transpose these techniques from the image domain to the temporal domain. More exactly, we show that such technique...

in this work, quantitative structure-property relationship (qspr) approaches were used to predict the redox potential of 42 phenolic antioxidants. the structures of all compounds optimized by the am1 semi-empirical method and then a large number of molecular descriptors were calculated for each compound in the data set. subsequently, stepwise multilinear regression was applied to select the mos...

in this work the electrooxidation half-wave potentials of some benzoxazines were predicted from their structural molecular descriptors by using quantitative structure-property relationship (qsar) approaches. the dataset consist the half-wave potential of 40 benzoxazine derivatives which were obtained by dc-polarography. descriptors which were selected by stepwise multiple selection procedure ar...