Search results for "video processing"

showing 6 items of 56 documents

3D landmark detection for augmented reality based otologic procedures

2019

International audience; Ear consists of the smallest bones in the human body and does not contain significant amount of distinct landmark points that may be used to register a preoperative CT-scan with the surgical video in an augmented reality framework. Learning based algorithms may be used to help the surgeons to identify landmark points. This paper presents a convolutional neural network approach to landmark detection in preoperative ear CT images and then discusses an augmented reality system that can be used to visualize the cochlear axis on an otologic surgical video.

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]FOS: Computer and information sciences[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Computer Vision and Pattern Recognition (cs.CV)Image and Video Processing (eess.IV)Computer Science - Computer Vision and Pattern Recognition[INFO.INFO-IM] Computer Science [cs]/Medical ImagingFOS: Electrical engineering electronic engineering information engineering[INFO.INFO-IM]Computer Science [cs]/Medical Imaging[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Electrical Engineering and Systems Science - Image and Video Processing[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
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Advanced 3D movement analysis algorithms for robust functional capacity assessment.

2017

SummaryObjectives: We developed a novel system for in home functional capacities assessment in frail older adults by analyzing the Timed Up and Go movements. This system aims to follow the older people evolution, potentially allowing a forward detection of motor decompensation in order to trigger the implementation of rehabilitation. However, the pre-experimentations conducted on the ground, in different environments, revealed some problems which were related to KinectTM operation. Hence, the aim of this actual study is to develop methods to resolve these problems.Methods: Using the KinectTM sensor, we analyze the Timed Up and Go test movements by measuring nine spatio-temporal parameters, …

[INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR]Computer science02 engineering and technologyTimed Up and Go testcomputer.software_genreCorrelation0302 clinical medicineHealth Information ManagementMICROSOFT KINECT0202 electrical engineering electronic engineering information engineering[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO][ SDV.IB ] Life Sciences [q-bio]/Bioengineeringsitting posture recognition[ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO]FALLSVideo processingPatient self-care home care and e-healthComputer Science Applications3D real-time video processing020201 artificial intelligence & image processing[SDV.IB]Life Sciences [q-bio]/BioengineeringAlgorithmsClinical testsCapacity assessmentGO TESTskin detectionFrail ElderlyMovementFrail Older AdultsPostureHealth InformaticsMachine learning03 medical and health sciencesRobustness (computer science)[ SDV.MHEP ] Life Sciences [q-bio]/Human health and pathologyclinical informaticsHumansVALIDITYOLDER-ADULTSSimulationAgedMonitoring Physiologicbusiness.industryMovement analysisMOTOR STRATEGIESArtificial intelligencebusinesscomputer030217 neurology & neurosurgery[SDV.MHEP]Life Sciences [q-bio]/Human health and pathologyApplied clinical informatics
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Refitting solutions promoted by $\ell_{12}$ sparse analysis regularization with block penalties

2019

International audience; In inverse problems, the use of an $\ell_{12}$ analysis regularizer induces a bias in the estimated solution. We propose a general refitting framework for removing this artifact while keeping information of interest contained in the biased solution. This is done through the use of refitting block penalties that only act on the co-support of the estimation. Based on an analysis of related works in the literature, we propose a new penalty that is well suited for refitting purposes. We also present an efficient algorithmic method to obtain the refitted solution along with the original (biased) solution for any convex refitting block penalty. Experiments illustrate the g…

[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingOptimization and Control (math.OC)Image and Video Processing (eess.IV)FOS: MathematicsFOS: Electrical engineering electronic engineering information engineeringElectrical Engineering and Systems Science - Image and Video ProcessingMathematics - Optimization and Control
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Mobile cloud computing educational tool for image/video processing algorithms

2011

This paper shows the importance and benefit of coupling cloud computing with mobile especially due to power limitations that mobile devices exhibit. Moreover, the work done shows that mobile computing can be applied for educational purposes, where a tool for students termed Mobi4Ed is presented. This educational tool aims at exploiting the concept of cloud computing in the context of image and video processing, where students can assess several algorithms in real-time. Two possible system architectures are detailed, where one uses the cellular channel and the other uses the data channel. Consequently, one of the approaches is adopted and a detailed simulation is done where an Android client…

business.industryComputer scienceServerSystems architectureMobile computingCloud computingMobile telephonyVideo processingbusinessAlgorithmMobile deviceMobile cloud computing2011 Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE)
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An Efficient Implementation of Parallel Parametric HRTF Models for Binaural Sound Synthesis in Mobile Multimedia

2020

The extended use of mobile multimedia devices in applications like gaming, 3D video and audio reproduction, immersive teleconferencing, or virtual and augmented reality, is demanding efficient algorithms and methodologies. All these applications require real-time spatial audio engines with the capability of dealing with intensive signal processing operations while facing a number of constraints related to computational cost, latency and energy consumption. Most mobile multimedia devices include a Graphics Processing Unit (GPU) that is primarily used to accelerate video processing tasks, providing high computational capabilities due to its inherent parallel architecture. This paper describes…

interpolation.General Computer Scienceparallel filtersComputer scienceGPUGpuGraphics processing unitLatency (audio)Parametric model02 engineering and technologycomputer.software_genre030507 speech-language pathology & audiology03 medical and health sciencesSoftware portabilityHRTF modeling0202 electrical engineering electronic engineering information engineeringGeneral Materials ScienceMultimediaparametric modelGeneral EngineeringTeleconferenceBinaural synthesis020206 networking & telecommunicationsVideo processingEnergy consumptioninterpolationInterpolationHrtf modelingScalabilityParallel filtersElectrónicaAugmented realitylcsh:Electrical engineering. Electronics. Nuclear engineering0305 other medical sciencelcsh:TK1-9971Mobile devicecomputerIEEE Access
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Image inpainting using directional wavelet packets originating from polynomial splines

2020

The paper presents a new algorithm for the image inpainting problem. The algorithm is using a recently designed versatile library of quasi-analytic complex-valued wavelet packets (qWPs) which originate from polynomial splines of arbitrary orders. Tensor products of 1D qWPs provide a diversity of 2D qWPs oriented in multiple directions. For example, a set of the fourth-level qWPs comprises 62 different directions. The properties of the presented qWPs such as refined frequency resolution, directionality of waveforms with unlimited number of orientations, (anti-)symmetry of waveforms and windowed oscillating structure of waveforms with a variety of frequencies, make them efficient in image pro…

signaalinkäsittelyComputer scienceImage and Video Processing (eess.IV)Inpainting020206 networking & telecommunicationsImage processing02 engineering and technologykuvankäsittelyElectrical Engineering and Systems Science - Image and Video ProcessingWavelet packet decompositionImage (mathematics)Set (abstract data type)Tensor productalgoritmitSignal Processing0202 electrical engineering electronic engineering information engineeringFOS: Electrical engineering electronic engineering information engineeringWaveform020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionElectrical and Electronic EngineeringAlgorithmSoftwareVariable (mathematics)
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