Search results for "Video"
showing 10 items of 1348 documents
A Bayesian Multilevel Random-Effects Model for Estimating Noise in Image Sensors
2020
Sensor noise sources cause differences in the signal recorded across pixels in a single image and across multiple images. This paper presents a Bayesian approach to decomposing and characterizing the sensor noise sources involved in imaging with digital cameras. A Bayesian probabilistic model based on the (theoretical) model for noise sources in image sensing is fitted to a set of a time-series of images with different reflectance and wavelengths under controlled lighting conditions. The image sensing model is a complex model, with several interacting components dependent on reflectance and wavelength. The properties of the Bayesian approach of defining conditional dependencies among parame…
Extending the Unmixing methods to Multispectral Images
2021
In the past few decades, there has been intensive research concerning the Unmixing of hyperspectral images. Some methods such as NMF, VCA, and N-FINDR have become standards since they show robustness in dealing with the unmixing of hyperspectral images. However, the research concerning the unmixing of multispectral images is relatively scarce. Thus, we extend some unmixing methods to the multispectral images. In this paper, we have created two simulated multispectral datasets from two hyperspectral datasets whose ground truths are given. Then we apply the unmixing methods (VCA, NMF, N-FINDR) to these two datasets. By comparing and analyzing the results, we have been able to demonstrate some…
Detecting informative higher-order interactions in statistically validated hypergraphs
2021
Recent empirical evidence has shown that in many real-world systems, successfully represented as networks, interactions are not limited to dyads, but often involve three or more agents at a time. These data are better described by hypergraphs, where hyperlinks encode higher-order interactions among a group of nodes. In spite of the large number of works on networks, highlighting informative hyperlinks in hypergraphs obtained from real world data is still an open problem. Here we propose an analytic approach to filter hypergraphs by identifying those hyperlinks that are over-expressed with respect to a random null hypothesis, and represent the most relevant higher-order connections. We apply…
Comparative survey of visual object classifiers
2018
Classification of Visual Object Classes represents one of the most elaborated areas of interest in Computer Vision. It is always challenging to get one specific detector, descriptor or classifier that provides the expected object classification result. Consequently, it critical to compare the different detection, descriptor and classifier methods available and chose a single or combination of two or three to get an optimal result. In this paper, we have presented a comparative survey of different feature descriptors and classifiers. From feature descriptors, SIFT (Sparse & Dense) and HeuSIFT combination colour descriptors; From classification techniques, Support Vector Classifier, K-Nea…
Fast PET Scan Tumor Segmentation Using Superpixels, Principal Component Analysis and K-Means Clustering
2018
Positron Emission Tomography scan images are extensively used in radiotherapy planning, clinical diagnosis, assessment of growth and treatment of a tumor. These all rely on fidelity and speed of detection and delineation algorithm. Despite intensive research, segmentation remained a challenging problem due to the diverse image content, resolution, shape, and noise. This paper presents a fast positron emission tomography tumor segmentation method in which superpixels are extracted first from the input image. Principal component analysis is then applied on the superpixels and also on their average. Distance vector of each superpixel from the average is computed in principal components coordin…
Feedback bei internationalen Videokonferenzen in der Lehrendenbildung
2023
The article deals with interactional processes in video conferences that took place as part of an international training and further education event for DaF-teachers. The focus is on showing how the teachers request feedback from each other in relation to the topics to be discussed and in what form they receive it. Furthermore, the role of moderation should also be examined. The aim of the study is to reveal interaction patterns that characterize the behavior of teachers in the context of digital education in order to promote a professional feedback culture when dealing with lesson observation.
Neumonía adquirida en la comunidad: tratamiento de los casos complicados y en situaciones especiales. Documento de consenso de la Sociedad Española d…
2015
Resumen: Desde hace más de una década, los casos complicados de neumonía adquirida en la comunidad, fundamentalmente con empiema pleural o formas necrosantes, comenzaron a ser más frecuentes en niños, según la amplia documentación procedente de numerosos países. El abordaje terapéutico óptimo de estos casos, tanto desde el punto de vista médico (antibióticos, fibrinolíticos) como técnico-quirúrgico, (drenaje pleural, videotoracoscopia) continúa siendo controvertido. En este documento, la Sociedad Española de Infectología Pediátrica y la Sociedad Española de Neumología Pediátrica revisan la evidencia científica y proponen unas pautas consensuadas de tratamiento de estos casos, fundamentalmen…
Projekts: "Indynetworks" dibināšana
2020
Maģistra darba tēma ir uzņēmuma SIA Indynetworks dibināšanas projekta izstrāde. Projekta ideja ir informācijas tehnoloģiju uzņēmuma SIA Indynetworks dibināšana, kas nodarbosies ar videokonferenču pakalpojumu sniegšanu visā pasaulē. Videokonferences jeb attālinātas sapulces kļūst arvien nepieciešamākas. Pētījumā Forbes Insight gandrīz trīs ceturtdaļas vadītāju norāda, ka viņu darbinieku un piegādātāju tīkls ir starptautisks. Autors uzsver, ka nav viegli noorganizēt klātienes sapulci, videokonference ir otrs labākais variants. Pētījuma dati liecina, ka 78% aptaujāto darbinieku uzskata, ka uzlabojas gan komandas, gan individuālais sniegums, jo veicot attālinātu darbu, vairojas uzticēšanās. Tāp…
A methodology for assessing the effect of correlations among muscle synergy activations on task-discriminating information
2013
Delis, Ioannis | Berret, Bastien | Pozzo, Thierry | Panzeri, Stefano; International audience; ''Muscle synergies have been hypothesized to be the building blocks used by the central nervous system to generate movement. According to this hypothesis, the accomplishment of various motor tasks relies on the ability of the motor system to recruit a small set of synergies on a single-trial basis and combine them in a task-dependent manner. It is conceivable that this requires a fine tuning of the trial-to-trial relationships between the synergy activations. Here we develop an analytical methodology to address the nature and functional role of trial-to-trial correlations between synergy activation…
Use of digital trail cameras to study Bonelli's eagle diet during the nestling period
2010
Abstract The study of avian diet is one of the most commonly discussed topics in Ornithology. Different methods such as direct observations of hunting, analysis of pellets and collection of prey remains have usually been employed to study avian diet. Fortunately, digital technologies have rapidly advanced in recent years, allowing researchers to increase our understanding of avian behaviour. Here we report the outcomes of a pilot project to study the diet of Bonelli's eagle (Aquila fasciata, Syn = Hieraaetus fasciatus) during the nestling period using digital trail cameras. We describe the monitoring system, provide results on dietary composition and discuss advantages and shortcomings of t…