Search results for "ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION"

showing 10 items of 982 documents

SVG rendering for internet imaging

2006

The SVG (scalable vector graphics) standard allows representing complex graphical scenes by a collection of graphic vectorial-based primitives, offering several advantages with respect to classical raster images such as: scalability, resolution independence, etc. In this paper we present a full comparison between some advanced raster to SVG algorithms: SWaterG, SVGenie, SVGWave and some commercial tools. SWaterG works by a watershed decomposition coupled with some ad-hoc heuristics, SVGenie and SVGWave use a polygonalization based respectively on data dependent and wavelet triangulation. The results obtained by SWaterG, SVGenie and SVGWave are satisfactory both in terms of perceptual measur…

Computer sciencebusiness.industrySVG triangulation Watershed waveletComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONScalable Vector GraphicsWavelet transformcomputer.file_formatResolution independenceRendering (computer graphics)Computer graphics (images)ScalabilityComputer visionArtificial intelligenceRaster graphicsbusinesscomputer3D computer graphicsComputingMethodologies_COMPUTERGRAPHICSData compression
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Detection of TV commercials

2004

This paper presents a system that labels TV shots either as commercial or program shots. The system uses two observations: logo presence and shot duration. These observations are modeled using HMMs, and a Viterbi decoder is finally used for shot labeling. The system has been tested on several hours of real video, achieving more than 99% correct labeling.

Computer sciencebusiness.industrySpeech recognitionShot (filmmaking)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONViterbi algorithmsymbols.namesakeComputingMethodologies_PATTERNRECOGNITIONViterbi decoderPattern recognition (psychology)symbolsComputer visionArtificial intelligenceHidden Markov modelbusinessDecoding methods2004 IEEE International Conference on Acoustics, Speech, and Signal Processing
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MedAI: Transparency in Medical Image Segmentation

2021

MedAI: Transparency in Medical Image Segmentation is a challenge held for the first time at the Nordic AI Meet that focuses on medical image segmentation and transparency in machine learning (ML)-based systems. We propose three tasks to meet specific gastrointestinal image segmentation challenges collected from experts within the field, including two separate segmentation scenarios and one scenario on transparent ML systems. The latter emphasizes the need for explainable and interpretable ML algorithms. We provide a development dataset for the participants to train their ML models, tested on a concealed test dataset.

Computer sciencebusiness.industryTransparency (graphic)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONSegmentationImage segmentationArtificial intelligenceMachine learningcomputer.software_genrebusinesscomputerField (computer science)Nordic Machine Intelligence
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Robotic Platform for Automated Search and Rescue Missions of Humans

2013

We present a novel type of model incorporating a special remote life signals sensing optical system on top of a controllable robotic platform. The remote sensing system consists of a laser and a camera. By properly adapting our optics and by applying a proper image processing algorithm we can sense within the field of view, illuminated by the laser and imaged by the camera, the heartbeats and the blood pulse pressure of subjects (even several simultaneously). The task is to use the developed robotic system for search and rescue mission such as saving survivals from a fire.

Computer sciencebusiness.industrylcsh:ElectronicsComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONlcsh:TK7800-8360Image processingLaserlcsh:QA75.5-76.95Computer Science Applicationslaw.inventionTask (project management)Artificial IntelligencelawComputer visionlcsh:Electronic computers. Computer scienceArtificial intelligencebusinessSoftwareSearch and rescueInternational Journal of Advanced Robotic Systems
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3D Scene Reconstruction Using Kinect

2014

The issue of the automatic reconstruction of 3D scenes has been addressed in several chapters over the last few years. Many of them describe techniques for processing stereo vision or range images captured by high quality range sensors. However, due to the high price of such input devices, most of the methods proposed in the literature are not suitable for real-world scenarios. This chapter proposes a method designed to reconstruct 3D scenes perceived by means of a cheap device, namely the Kinect sensor. The scene is efficiently represented as a composition of superquadric shapes so as to obtain a compact description of environment, however complex it may be. The approach proposed here is i…

Computer sciencebusiness.industrymedia_common.quotation_subjectComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONInput deviceCognitive architectureScene Reconstruction 3D Data KinectReal imageRange (mathematics)StereopsisComputer visionQuality (business)Artificial intelligencebusinessmedia_common
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Optical See-Through Head-Mounted Displays With Short Focal Distance: Conditions for Mitigating Parallax-Related Registration Error

2020

Optical see-through (OST) augmented reality head-mounted displays are quickly emerging as a key asset in several application fields but their ability to profitably assist high precision activities in the peripersonal space is still sub-optimal due to the calibration procedure required to properly model the user's viewpoint through the see-through display. In this work, we demonstrate the beneficial impact, on the parallax-related AR misregistration, of the use of optical see-through displays whose optical engines collimate the computer-generated image at a depth close to the fixation point of the user in the peripersonal space. To estimate the projection parameters of the OST display for a …

Computer sciencelcsh:Mechanical engineering and machineryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION01 natural sciencesCollimated lightlcsh:QA75.5-76.95Rendering (computer graphics)010309 opticsArtificial Intelligenceregistration0103 physical sciencesFocal lengthComputer visionlcsh:TJ1-1570Original Research010302 applied physicsRobotics and AIbusiness.industryoptical see-through displayscalibrationFixation pointaugmented realityComputer Science ApplicationsPhotogrammetryCardinal pointparallax related errorAugmented realityArtificial intelligencelcsh:Electronic computers. Computer scienceParallaxbusinessFrontiers in Robotics and AI
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Restoration and Enhancement of Historical Stereo Photos Through Optical Flow

2021

Restoration of digital visual media acquired from repositories of historical photographic and cinematographic material is of key importance for the preservation, study and transmission of the legacy of past cultures to the coming generations. In this paper, a fully automatic approach to the digital restoration of historical stereo photographs is proposed. The approach exploits the content redundancy in stereo pairs for detecting and fixing scratches, dust, dirt spots and many other defects in the original images, as well as improving contrast and illumination. This is done by estimating the optical flow between the images, and using it to register one view onto the other both geometrically …

Computer sciencemedia_common.quotation_subjectNoise reductionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONOptical flow02 engineering and technologyConsistency (database systems)Image restoration0202 electrical engineering electronic engineering information engineeringRedundancy (engineering)Contrast (vision)Computer visionImage restorationmedia_commonSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSettore INF/01 - Informaticabusiness.industryOptical flow021001 nanoscience & nanotechnologySensor fusionStereo matchingTransmission (telecommunications)Image denoisingImage enhancementGradient filtering020201 artificial intelligence & image processingArtificial intelligence0210 nano-technologybusiness
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Artificial mosaics

2005

Art often provides valuable insight that can be applied to technological innovations, especially in the fields of image processing and computer graphics. In this paper we present a method to transform a raster input image into a good-quality mosaic: an “artificial mosaic.” The creation of mosaics of artistic quality is challenging because the tiles that compose a mosaic, typically small polygons, must be packed tightly and yet must follow and emphasize orientations chosen by the artist. The proposed method can reproduce the colors of the original image and emphasize relevant boundaries by placing tiles along edge directions. No user intervention is needed to detect the boundaries: they are …

Computer sciencemedia_common.quotation_subjectmosaic; non-photorealistic rendering; enhancementComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONMosaic Non photorealistic rendering Distance transform Image processing and enhancementAlong edgeImage processingMosaic (geodemography)computer.file_formatComputer Graphics and Computer-Aided Designnon-photorealistic renderingImage (mathematics)Computer graphicsSimple (abstract algebra)Computer graphics (images)Quality (business)mosaicComputer Vision and Pattern RecognitionRaster graphicsenhancementcomputerSoftwareComputingMethodologies_COMPUTERGRAPHICSmedia_commonThe Visual Computer
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Visualization1.mov

2019

movie of the recorded set of single shot slightly off-axis holograms

ComputerApplications_MISCELLANEOUSComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONComputingMilieux_MISCELLANEOUSComputingMethodologies_COMPUTERGRAPHICS
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Visualization1.mov

2019

movie of the recorded set of single shot slightly off-axis holograms

ComputerApplications_MISCELLANEOUSComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONComputingMilieux_MISCELLANEOUSComputingMethodologies_COMPUTERGRAPHICS
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