Search results for "Video"

showing 10 items of 1348 documents

Decoding Children's Social Behavior

2013

We introduce a new problem domain for activity recognition: the analysis of children's social and communicative behaviors based on video and audio data. We specifically target interactions between children aged 1-2 years and an adult. Such interactions arise naturally in the diagnosis and treatment of developmental disorders such as autism. We introduce a new publicly-available dataset containing over 160 sessions of a 3-5 minute child-adult interaction. In each session, the adult examiner followed a semi-structured play interaction protocol which was designed to elicit a broad range of social behaviors. We identify the key technical challenges in analyzing these behaviors, and describe met…

Behavior Psychology Dataset Video analysis Speech Analysis AutismInter-action protocolsSocial and communicative behaviorInteraction protocol02 engineering and technologycomputer.software_genreAnnan data- och informationsvetenskapSession (web analytics)Activity recognitionTechnical challenges0202 electrical engineering electronic engineering information engineeringmedicineSocial behaviorAudio signal processingMultimediabusiness.industryDevelopmental disorders020207 software engineeringmedicine.diseaseSemi-structuredResearch questionsActivity recognitionProblem domainKey (cryptography)Autism020201 artificial intelligence & image processingArtificial intelligencePsychologybusinessOther Computer and Information SciencecomputerCognitive psychologySocial behavior2013 IEEE Conference on Computer Vision and Pattern Recognition
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Advancing cyanobacteria biomass estimation from hyperspectral observations: Demonstrations with HICO and PRISMA imagery

2021

Retrieval of the phycocyanin concentration (PC), a characteristic pigment of, and proxy for, cyanobacteria biomass, from hyperspectral satellite remote sensing measurements is challenging due to uncertainties in the remote sensing reflectance (?R) resulting from atmospheric correction and instrument radiometric noise. Although several individual algorithms have been proven to capture local variations in cyanobacteria biomass in specific regions, their performance has not been assessed on hyperspectral images from satellite sensors. Our work leverages a machine-learning model, Mixture Density Networks (MDNs), trained on a large (N = 939) dataset of collocated in situ chlorophyll-a concentrat…

Biomass (ecology)Aquatic remote sensingcyanoHABsHICOMultispectral imageAtmospheric correctionPhycocyaninSoil ScienceHyperspectral imagingGeologyPRISMASpectral bandsCyanobacteriacyanobacteria ; phycocyanin ; machine learning ; mixture density network ; aquatic remote sensing ; cyanoHABs ; HICO ; PRISMAMachine learningMixture density networkEnvironmental scienceRadiometrySatelliteNoise (video)Computers in Earth SciencesRemote sensingRemote Sensing of Environment
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2D ECG Image Based Biometric Identification Using Stacked Autoencoders

2021

The handcrafted features extraction methods have achieved remarkable results in ECG based biometric identification. However, they are sensitive to many factors: (1) intra and inter-individual variability, (2) heart rate variability, (3) powerline interference, baseline wander and muscle artifacts. To deal with these issues, deep learning approaches have been proposed to extract automatically the important features almost from original data without any preprocessing step (i.e., The original ECG signal mostly contains noise). Unlike conventional ECG based biometric approaches, which based either on fiducial and non-fiducial methods, the proposed approach can be implemented on end to end syste…

BiometricsComputer sciencebusiness.industryNoise reductionDeep learningPattern recognitionComputingMethodologies_PATTERNRECOGNITIONRobustness (computer science)PreprocessorSegmentationNoise (video)Artificial intelligencebusinessFiducial marker2021 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT)
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A biproportional filter to compare technical and allocation coefficient variations

1997

International audience; In input-output analysis there are two alternate possibilities between Leontief's mechanism (fixed technical coefficients) and Ghosh's mechanism (fixed allocation coefficients). Testing the long term consistency of these mechanisms entails comparing input-output matrices over time. This paper challenges the value of proportional filters (separate comparison of column and row coefficients) and introduces the biproportional filter which allows simultaneous comparison of column and rows. An application is proposed using French input-output tables for 1980 and 1993. The stability of column coefficients cannot be taken for granted and generally, for any sector, both rows …

BiproportionSupply-drivenJEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output ModelsChangeJEL: D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and AnalysisEnvironmental Science (miscellaneous)DevelopmentRow and column spacesStability (probability)Column (database)Consistency (statistics)Demand-drivenStatisticsComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONApplied mathematicsJEL : D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and Analysis[ SHS.ECO ] Humanities and Social Sciences/Economies and finances[SHS.ECO] Humanities and Social Sciences/Economics and FinanceMathematicsInput/outputJEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output Models[SHS.ECO]Humanities and Social Sciences/Economics and FinanceTerm (time)Input-OutputFilter (video)RowRAS
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A sensor-data-based denoising framework for hyperspectral images

2015

Many denoising approaches extend image processing to a hyperspectral cube structure, but do not take into account a sensor model nor the format of the recording. We propose a denoising framework for hyperspectral images that uses sensor data to convert an acquisition to a representation facilitating the noise-estimation, namely the photon-corrected image. This photon corrected image format accounts for the most common noise contributions and is spatially proportional to spectral radiance values. The subsequent denoising is based on an extended variational denoising model, which is suited for a Poisson distributed noise. A spatially and spectrally adaptive total variation regularisation term…

Blind deconvolution[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingHyperspectral imagingAnisotropic diffusionComputer scienceNoise reductionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processing02 engineering and technology01 natural sciences010309 opticsOptics[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0103 physical sciencesdenoising0202 electrical engineering electronic engineering information engineeringbusiness.industryHyperspectral imagingcomputer.file_formatNon-local meansAtomic and Molecular Physics and OpticsLight intensityFull spectral imagingComputer Science::Computer Vision and Pattern Recognition020201 artificial intelligence & image processingImage file formatsNoise (video)businesscomputer
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Low light level in vitro monitoring of cellular and antigen-antibody reactions using a photon detection camera system — New perspectives for clinical…

1990

This article briefly describes the use of a photon counting system (ARGUS-100) in the detection of low levels of light. The ARGUS-100 was used in determining ATP in cell sections from tumor tissues and in measuring a luminescence-enhanced immunoluminometric assay, using ferritin as the analyte, based on the luminol-peroxide-4-iodophenol reaction with peroxidase as the enzyme. The aim is not so much the presentation of data, but rather to show the potentials of the photon counting camera in increasing our knowledge of the cellular and subcellular levels, as well as lowering the detection limits in already sensitive systems, such as immunoassays.

Blood GlucoseAnalyteVideo RecordingNanotechnologyAdenocarcinomaCell Linelaw.inventionAntigen-Antibody ReactionsImmunoenzyme TechniquesAdenosine TriphosphateMicrocomputersComputer SystemslawRhabdomyosarcomaDrug DiscoveryTumor Cells CulturedAnimalsHumansBioluminescenceLactic AcidGenetics (clinical)ChemiluminescenceDetection limitChemistrySignal Processing Computer-AssistedGeneral MedicineIn vitroPhoton countingRatsLow light levelClinical diagnosisLuminescent MeasurementsLactatesBiophysicsMolecular MedicineKlinische Wochenschrift
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Physiological and agonistic behavioural response of Procambarus clarkii to an acoustic stimulus

2012

Summary This study examined the effects of an acoustic stimulus on the haemolymph and agonistic behaviour of the red swamp crayfish Procambarus clarkii. The experiment was conducted in a tank equipped with a video recording system using 6 groups (3 control and 3 test groups) of five adult crayfish (30 specimens in total). After one hour of habituation, the behaviour of the crayfish was monitored for two hours. During the second hour, the animals in the test groups were exposed to a linear sweep (frequency range 0.1-25 kHz; peak amplitude 148 dBrms re 1 µPa at 12 kHz) acoustic stimulus for 30 minutes. Exposure to the noise produced significant variations in haemato-immunological parameters a…

Blood GlucoseFish ProteinsMaleHemocytesSound SpectrographyPhysiologyVideo RecordingCell CountAstacoideaAquatic ScienceStimulus (physiology)Animal scienceHemolymphAgonistic behaviourAnimalsHSP70 Heat-Shock ProteinsHabituationMolecular BiologyEcology Evolution Behavior and SystematicsVideo recordingProcambarus clarkiibiologyHemagglutinationOsmolar ConcentrationAnatomyacoustic stress agonistic behaviour physiological response red swamp crayfish.biology.organism_classificationCrayfishAcoustic StimulationInsect ScienceFemaleAnimal Science and ZoologyRabbitsAgonistic BehaviorJournal of Experimental Biology
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Platelet-endothelial interaction in tumor angiogenesis and microcirculation

2003

Activated platelets release angiogenic growth factors and have therefore been proposed to contribute to tumor angiogenesis within a potentially prothrombotic tumor microcirculation. The aim of the study was to investigate interactions of platelets with the angiogenic microvascular endothelium of highly vascularized solid tumors during growth and in response to endothelial stimulation in comparison with normal subcutaneous tissue. Experiments were performed in the dorsal skinfold chamber preparation of C57BL/6J mice bearing the Lewis lung carcinoma (LLC-1) or methylcholanthrene-induced fibrosarcoma (BFS-1). Fluorescently labeled rolling and adherent platelets, red blood cell velocity, and ve…

Blood PlateletsMalemedicine.medical_specialtyEndotheliumAngiogenesisFibrosarcomaImmunologyBiologyBiochemistrySkin Window TechniqueNeovascularizationCarcinoma Lewis LungMicePlatelet AdhesivenessCell MovementPlatelet adhesivenessInternal medicinemedicineAnimalsPlateletPlatelet activationCalcimycinIonophoresNeovascularization PathologicMicrocirculationVideotape RecordingLewis lung carcinomaCell BiologyHematologyPlatelet ActivationMice Inbred C57BLEndothelial stem cellmedicine.anatomical_structureEndocrinologyImmunologyCalciumEndothelium Vascularmedicine.symptomBlood Flow VelocityMethylcholanthreneBlood
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Gaming Bot Detection: A Systematic Literature Review

2018

In online games, some players employ programs (bots) that allow them to bypass game routines and effortlessly gain virtual resources. This practice leads to negative effects, such as reduced revenue for the game development companies and unfair treatment for ordinary players. Bot detection methods act as a counter measure for such players. This paper presents a systematic literature review of bot detection in online games. We mainly focus on games that allow resource accumulation for players between game sessions. For this, we summarize the existing literature, list categories of games ignored by the scientific community, review publicly available datasets, present the taxonomy of detection…

Body of knowledgeFocus (computing)Resource (project management)Systematic reviewVideo game developmentComputer scienceTaxonomy (general)ComputingMilieux_PERSONALCOMPUTINGRevenueData science
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Robust Allocation Rules in Dynamical Cooperative TU Games

2011

Robust dynamic coalitional TU games are repeated TU games where the values of the coalitions are unknown but bounded variables. We set up the game supposing that the Game Designer uses a vague measure of the extra reward that each coalition has received up to the current time to re-adjust the allocations among the players. As main result, we provide a constructive method for designing allocation rules that converge to the core of the average game. Both the set up and the solution approach also provide an insight on commonalities between coalitional games and stability theory.

Bondareva–Shapley theoremgame theoryMathematical optimizationSequential gameComputer scienceComputingMilieux_PERSONALCOMPUTINGCombinatorial game theoryTheoryofComputation_GENERALConstructiveBounded functionRepeated gameVideo game designGame theoryMathematical economics
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