Search results for " Video"

showing 10 items of 324 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…

FOS: Computer and information sciencesMean squared errorC.4Computer scienceBayesian probabilityG.3ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONInference02 engineering and technologyBayesian inferenceStatistics - Applications0202 electrical engineering electronic engineering information engineeringFOS: Electrical engineering electronic engineering information engineeringApplications (stat.AP)Electrical and Electronic EngineeringImage sensorI.4.1C.4; G.3; I.4.1Pixelbusiness.industryImage and Video Processing (eess.IV)020206 networking & telecommunicationsPattern recognitionStatistical modelElectrical Engineering and Systems Science - Image and Video ProcessingRandom effects modelNoise62P30 62P35 62F15 62J05Signal Processing020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligencebusinessSoftware
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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…

FOS: Computer and information sciencesMultispectral Imagesbusiness.industryComputer scienceComputer Vision and Pattern Recognition (cs.CV)Multispectral imageImage and Video Processing (eess.IV)Computer Science - Computer Vision and Pattern RecognitionHyperspectral imagingPattern recognitionUnmixingElectrical Engineering and Systems Science - Image and Video ProcessingField (computer science)Non-negative matrix factorizationRobustness (computer science)FOS: Electrical engineering electronic engineering information engineeringArtificial intelligencebusiness
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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…

FOS: Computer and information sciences[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]ComputingMethodologies_PATTERNRECOGNITIONComputer Vision and Pattern Recognition (cs.CV)Image and Video Processing (eess.IV)FOS: Electrical engineering electronic engineering information engineeringComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONComputer Science - Computer Vision and Pattern Recognition[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Electrical Engineering and Systems Science - Image and Video Processing
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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.

Feedback videoconferencing multimodal analysis teacher training classroom observation
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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…

FisheryEagleBonelli's eaglebiologyEcologyDietary compositionbiology.animalDigital videoAnimal Science and ZoologyMonitoring systembiology.organism_classificationOrnithologyPredationItalian Journal of Zoology
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La formazione iniziale degli insegnanti attraverso la pratica del microteaching.

2014

Le metodologie che fanno uso della videoregistrazione sono sempre più utilizzate nella formazione professionale dei futuri insegnanti. La professionalità del docente richiede oltre alle conoscenze teoriche o disciplinari, la capacità di mobilitare i saperi per organizzare risposte efficaci a problemi complessi e rilevanti e la capacità di riflettere sul proprio agire. È necessario che durante il percorso universitario l’insegnante in formazione acquisisca specifiche competenze e capacità autoriflessive. Questo contributo descrive una metodologia per la creazione di esperienze formative centrate sull’utilizzo della videoregistrazione e per la raccolta di dati sull’effetto del video sull’appr…

Formazione docenti sviluppo professionale videoregistrazione microteaching capacità riflessive agire inclusivo.Teacher training professional development video registration microteaching reflective capacities inclusive action.Settore M-PED/03 - Didattica E Pedagogia Speciale
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Geografia e game studies. Convergenze e opportunità

2021

L’interesse della Geografia verso le potenzialità disciplinari del videogioco si è manifestato più tardi rispetto alle altre scienze, ma ciò è coerente proprio con lo sviluppo e l’irruzione sulla scena di quegli elementi ritenuti interessanti proprio per l’analisi geografica. Il contributo intende valorizzare tutti gli elementi di interesse scientifico per la disciplina. Geography's interest in the disciplinary potential of the video game manifested itself later than in other sciences, but this is consistent with the development and the eruption on the scene of those elements considered interesting precisely for geographical analysis. The contribution intends to enhance all the elements of …

Game studies videogames virtual landscapeSettore M-GGR/02 - Geografia Economico-PoliticaGame studies videogiochi paesaggio virtualeSettore M-GGR/01 - Geografia
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On the use of Deep Reinforcement Learning for Visual Tracking: a Survey

2021

This paper aims at highlighting cutting-edge research results in the field of visual tracking by deep reinforcement learning. Deep reinforcement learning (DRL) is an emerging area combining recent progress in deep and reinforcement learning. It is showing interesting results in the computer vision field and, recently, it has been applied to the visual tracking problem yielding to the rapid development of novel tracking strategies. After providing an introduction to reinforcement learning, this paper compares recent visual tracking approaches based on deep reinforcement learning. Analysis of the state-of-the-art suggests that reinforcement learning allows modeling varying parts of the tracki…

General Computer ScienceComputer scienceFeature extractionMachine learningcomputer.software_genreField (computer science)video-surveillanceMinimum bounding boxReinforcement learningGeneral Materials ScienceSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionideep reinforcement learningComputer vision machine learning video-surveillance deep reinforcement learning visual tracking.business.industryGeneral EngineeringTracking systemvisual trackingVisualizationActive appearance modelTK1-9971machine learningEye trackingComputer visionArtificial intelligenceElectrical engineering. Electronics. Nuclear engineeringbusinesscomputer
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Paesaggi e virtualità: il caso dei videogiochi open world

2021

Il capitolo prende in considerazione il caso di tre recenti videogiochi che, (ri)producendo peculiari forme di spazialità, costruiscono complessi paesaggi virtuali e sistemi di interazioni multistratificate al fine di sviluppare una riflessione dalla prospettiva della geografia culturale. Tutti e tre rientrano (anche se con sfumature diverse) nello stesso genere, denominato "open world" oppure "free roaming", termini che fanno riferimento alla modalità di gioco, incentrata soprattutto sull’esplorazione di un “mondo” virtuale

Geografia culturale Open World Videogiochi Paesaggio Virtualità
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L’infanzia in gioco.Video education, Neuroeducation e sviluppo cognitivo-relazionale nei primi anni di vita

2020

La prospettiva del sistema integrato 0-6 previsto dal D.L. 65/2017 e la crescente eterogeneità morfologica delle classi della scuola italiana inducono giocoforza al rinnovamento complessivo del panorama scolastico italiano chiamando in causa un ripensamento epistemologico e prassico-metodologico della Pedagogia dell’Infanzia. A partire da tali considerazioni, in linea con una pista di studio e di ricerca avviata già nel 2015 presso l’Università di Palermo, il presente lavoro indaga la dimensione educativa del gioco a partire da due distinte angolazioni: quella della Neuroeducation e quella della Video education rispetto a due distinti ambiti: il mondo dei giochi e quello dei videogame, con …

Gioco Valutazione neuroeducation videoeducatiomSettore M-PED/04 - Pedagogia SperimentaleSettore M-PED/03 - Didattica E Pedagogia Speciale
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