Search results for "System model"

showing 10 items of 87 documents

Ownership protection of plenoptic images by robust and reversible watermarking

2018

Abstract Plenoptic images are highly demanded for 3D representation of broad scenes. Contrary to the images captured by conventional cameras, plenoptic images carry a considerable amount of angular information, which is very appealing for 3D reconstruction and display of the scene. Plenoptic images are gaining increasing importance in areas like medical imaging, manufacturing control, metrology, or even entertainment business. Thus, the adaptation and refinement of watermarking techniques to plenoptic images is a matter of raising interest. In this paper a new method for plenoptic image watermarking is proposed. A secret key is used to specify the location of logo insertion. Employing discr…

Computer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION0211 other engineering and technologies02 engineering and technologysymbols.namesakeRobustness (computer science)0202 electrical engineering electronic engineering information engineeringDiscrete cosine transformMedian filterComputer visionElectrical and Electronic EngineeringDigital watermarking021110 strategic defence & security studiesbusiness.industryMechanical EngineeringWatermarkÒpticaPeak signal-to-noise ratioAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsGaussian noiseHuman visual system modelsymbols020201 artificial intelligence & image processingArtificial intelligencebusinessImatges Processament Tècniques digitalsOptics and Lasers in Engineering
researchProduct

Image quality metric based on multidimensional contrast perception models

1999

Abstract The procedure to compute the subjective difference between two input images should be equivalent to a straightforward difference between their perceived versions, hence reliable subjective difference metrics must be founded on a proper perception model. For image distortion evaluation purposes, perception can be considered as a set of signal transforms that successively map the original image in the spatial domain into a feature and a response space. The properties of the spatial pattern analyzers involved in these transforms determine the geometry of these different signal representation domains. In this work the general relations between the sensitivity of the human visual system…

Computer scienceImage qualitybusiness.industrymedia_common.quotation_subjectPattern recognitionHuman-Computer InteractionHardware and ArchitectureFeature (computer vision)DistortionHuman visual system modelMetric (mathematics)Contrast (vision)Computer visionArtificial intelligenceElectrical and Electronic EngineeringSet (psychology)businessRepresentation (mathematics)media_commonDisplays
researchProduct

Non-linear Invertible Representation for Joint Statistical and Perceptual Feature Decorrelation

2000

The aim of many image mappings is representing the signal in a basis of decorrelated features. Two fundamental aspects must be taken into account in the basis selection problem: data distribution and the qualitative meaning of the underlying space. The classical PCA techniques reduce the statistical correlation using the data distribution. However, in applications where human vision has to be taken into account, there are perceptual factors that make the feature space uneven, and additional interaction among the dimensions may arise. In this work a common framework is presented to analyse the perceptual and statistical interactions among the coefficients of any representation. Using a recen…

Computer sciencebusiness.industryFeature vectormedia_common.quotation_subjectComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognitionlaw.inventionLinear mapNonlinear systemInvertible matrixlawPerceptionHuman visual system modelArtificial intelligencebusinessDecorrelationmedia_common
researchProduct

Analyse des Visuellen Klassifikationssystems Durch Detektionsexperimente

1977

Summary Experiments on recognizing statistically distorted patterns show that the human visual system operates as a linear classifier. The spatial frequency range, within which features are extracted, is determined by the coupling in the area of sharpest vision (2°). The relevant features for classifying patterns are not produced by isotropic filtering

Computer sciencebusiness.industrySpeech recognitionHuman visual system modelPattern recognitionLinear classifierSpatial frequencyArtificial intelligencebusinessIFAC Proceedings Volumes
researchProduct

Mesh Visual Quality Assessment Metrics: A Comparison Study

2017

3D graphics technologies have known a developed progress in the last years, and several processing operations can be applied on 3D meshes such as watermarking, compression, simplification and so forth. Mesh visual quality assessment becomes an important issue to evaluate the visual appearance of the 3D shape after specific modifications. Several metrics have been proposed in this context, from the classical distance-based metrics to the perceptual-based metrics which include perceptual information about the human visual system. In this paper, we propose to study the performance of several mesh visual quality metrics. First, the comparison is conducted regardless the distortion types neither…

Computer sciencemedia_common.quotation_subject020207 software engineeringContext (language use)02 engineering and technologycomputer.software_genreVisual appearanceVisualizationMetric (mathematics)Human visual system model0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingQuality (business)Polygon meshData miningcomputer3D computer graphicsmedia_common2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)
researchProduct

Color illusions also deceive CNNs for low-level vision tasks: Analysis and implications.

2019

The study of visual illusions has proven to be a very useful approach in vision science. In this work we start by showing that, while convolutional neural networks (CNNs) trained for low-level visual tasks in natural images may be deceived by brightness and color illusions, some network illusions can be inconsistent with the perception of humans. Next, we analyze where these similarities and differences may come from. On one hand, the proposed linear eigenanalysis explains the overall similarities: in simple CNNs trained for tasks like denoising or deblurring, the linear version of the network has center-surround receptive fields, and global transfer functions are very similar to the human …

Computer sciencemedia_common.quotation_subjectIllusionColor spaceConvolutional neural network050105 experimental psychology03 medical and health sciences0302 clinical medicinePerceptionHumans0501 psychology and cognitive sciencesVision Ocularmedia_commonArtificial neural networkbusiness.industryOptical illusion05 social sciencesIllusionsSensory SystemsOphthalmologyVision scienceHuman visual system modelArtificial intelligenceNeural Networks Computerbusiness030217 neurology & neurosurgeryVision research
researchProduct

Applying a framework for landscape planning under climate change for the conservation of biodiversity in the Finnish boreal forest

2015

Conservation strategies are often established without consideration of the impact of climate change. However, this impact is expected to threaten species and ecosystem persistence and to have dramatic effects towards the end of the 21st century. Landscape suitability for species under climate change is determined by several interacting factors including dispersal and human land use. Designing effective conservation strategies at regional scales to improve landscape suitability requires measuring the vulnerabilities of specific regions to climate change and determining their conservation capacities. Although methods for defining vulnerability categories are available, methods for doing this …

Conservation of Natural ResourcesConservation strategyconservation strategyClimate ChangeForest managementVulnerabilityBiodiversityforest managementClimate changeClimate change adaptationModels BiologicalTreesemission scenariosEcosystem modelForest gap modelSystematic conservation planningTaigaForest ecosystem modelEnvironmental ChemistryIntact forest landscapeFinlandclimate change adaptationWoody debrisGeneral Environmental ScienceGlobal and Planetary ChangeEcologyLand useForest managementbusiness.industryEnvironmental resource managementmetsänkäsittelyforest gap modelBiodiversity15. Life on landta4112climate vulnerabilityGeographyClimate vulnerabilityLandscape conservation capacity13. Climate actionEmission scenariosta1181landscape conservation capacitybusinessLandscape planningforest ecosystem model
researchProduct

Matlab/Simulink-Based Modeling for Industrial Electric Vehicle

2023

The land transport sector has passed through multiple phases of evolution in design, development, and manufacturing of vehicles. In particular, the construction site continues to progress towards the autonomous vehicles (also called self-driving), which were one of its big trends and have become a hot topic in the industrial and academic world. By now, with this new technology of autonomous driving, we can ensure safety by reducing the number of road accidents, also the environmental impact and energy consumption is lessened. The modeling and simulation phases had become a mandatory step to design, characterize and simulate vehicle dynamics while reducing the cost of development. As they pr…

Construction MachineryElectric system modeling[SPI] Engineering Sciences [physics]Traction and Suspension controlVehicle dynamics
researchProduct

Model Based Design Optimization of Operational Reliability in Offshore Boom Cranes

2013

AbstractThis paper presents a model based approach for design of reliable electro-hydraulic motion control systems for offshore material handling cranes. The approach targets the system engineer and is based on steady-state computations, dynamic time domain simulation and numerical optimization.In general, the modelling takes into account the limited access to component data normally encountered by engineers working with system design. A system model is presented which includes the most important characteristics of both mechanical system and hydraulic components such as the directional control valve and the counterbalance valve.The model is used to optimize the performance of an initial des…

Control valvesEngineeringbusiness.industryMechanical EngineeringGeneral Physics and AstronomyControl engineeringMotion controlBoomSystem modelMechanical systemComponent (UML)Model-based designSystems designbusinessInternational Journal of Fluid Power
researchProduct

Earth System Chemistry integrated Modelling (ESCiMo) with the Modular Earth Submodel System (MESSy) version 2.51

2016

Abstract. Three types of reference simulations, as recommended by the Chemistry–Climate Model Initiative (CCMI), have been performed with version 2.51 of the European Centre for Medium-Range Weather Forecasts – Hamburg (ECHAM)/Modular Earth Submodel System (MESSy) Atmospheric Chemistry (EMAC) model: hindcast simulations (1950–2011), hindcast simulations with specified dynamics (1979–2013), i.e. nudged towards ERA-Interim reanalysis data, and combined hindcast and projection simulations (1950–2100). The manuscript summarizes the updates of the model system and details the different model set-ups used, including the on-line calculated diagnostics. Simulations have been performed with two diff…

ECHAM550010504 meteorology & atmospheric sciencesMeteorologyEarth System ModellingModel system010501 environmental sciences010502 geochemistry & geophysics01 natural sciencesMESSyErdsystem-ModellierungHindcastChemistry-Climate Model IntiativeProjection (set theory)0105 earth and related environmental sciencesTropospheric aerosolEMACbusiness.industrylcsh:QE1-996.5DATA processing & computer scienceModular designlcsh:GeologyEarth system science13. Climate actionClimatologyAtmospheric chemistryAtmospheric Chemistryddc:004business
researchProduct