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In photon science more and more data are taken. It is not possible anymore to store and process all data offline. In this book, we explore strategies for handling this large amount of data. A neural network as well as techniques from image processing are used to efficiently categorize and select useful data. We also indicate why many sophisticated algorithms cannot be used in this context. In addition, a prototype for data selection is presented, discussed, and benchmarked.
nanocrystalligraphy --- image-processing --- signalverarbeitungbig data --- signal-processing --- nanokristallographie --- echtzeitverarbeitung --- real-time-processing --- big data --- bildverarbeitung
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Computer storage devices --- Electronic digital computers --- Integrated circuits --- Printing, Practical --- Random access storage --- Real-time processing --- Supercomputers --- Transputers --- Virtual storage (Computer science) --- Ordinateurs --- Circuits intégrés à très grande échelle --- Superordinateurs --- Very large scale integration --- Laser use in --- Mémoires --- #TELE:ACCA --- 681.3*I29 --- Robotics: manipulators; propelling mechanisms; sensors (Artificial intelli- gence) --- 681.3*I29 Robotics: manipulators; propelling mechanisms; sensors (Artificial intelli- gence) --- Printing --- Random access memory. --- Circuits intégrés à très grande échelle --- Laser use in. --- Mémoires
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This book presents an overview of the guidelines and strategies for transitioning an image or video processing algorithm from a research environment into a real-time constrained environment. Such guidelines and strategies are scattered in the literature of various disciplines including image processing, computer engineering, and software engineering, and thus have not previously appeared in one place. By bringing these strategies into one place, the book is intended to serve the greater community of researchers, practicing engineers, industrial professionals, who are interested in taking an image or video processing algorithm from a research environment to an actual real-time implementation on a resource constrained hardware platform. These strategies consist of algorithm simplifications, hardware architectures, and software methods. Throughout the book, carefully selected representative examples from the literature are presented to illustrate the discussed concepts. After reading the book, the readers are exposed to a wide variety of techniques and tools, which they can then employ to design a real-time image or video processing system.
videoprocessor --- beeldverwerking (image processing) --- real time processing --- multimedia --- algoritme --- hardware --- software --- Image processing --- Digital video. --- Video compression. --- Digital techniques. --- Video data compression --- Digital motion video --- PC video --- Video, Digital --- Digital image processing --- Real-time image and video processing. --- Real-time implementation strategies. --- Algorithmic simplifications for real-time image and video processing. --- Hardware platforms for real-time image and video processing. --- Software methods for real-time image and video processing. --- Image compression --- Computer graphics --- Digital media --- Multimedia systems --- Digital electronics --- Digital techniques
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Real-time data processing --- Temps réel --- 681.3*C3 --- operationeel systeem (operating system) --- real time computing --- real time processing --- real time system --- Fast-response data processing --- High-speed data processing --- Electronic data processing --- Special-purpose and application-based systems: microprocessor/microcomputer; process control-, real-time, signal processing systems (Computer systems organization)--See also {681.3*J7} --- Real-time data processing. --- 681.3*C3 Special-purpose and application-based systems: microprocessor/microcomputer; process control-, real-time, signal processing systems (Computer systems organization)--See also {681.3*J7} --- Temps réel
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Emotions play a very important role in how we think and behave. As such, the emotions we feel every day can compel us to act and influence the decisions and plans we make about our lives. Being able to measure, analyze, and better comprehend how or why our emotions may change is thus of much relevance to understand human behavior and its consequences. Despite the great efforts made in the past in the study of human emotions, it is only now, with the advent of wearable, mobile, and ubiquitous technologies, that we can aim to sense and recognize emotions, continuously and in real time. This book brings together the latest experiences, findings, and developments regarding ubiquitous sensing, modeling, and the recognition of human emotions.
self-management interview application --- emotion analysis --- facial recognition --- image-mining --- deep convolutional neural network --- emotion recognition --- pattern recognition --- texture descriptors --- mobile tool --- neuromarketing --- brain computer interface (BCI) --- consumer preferences --- EEG signal --- deep learning --- deep neural network (DNN) --- electroencephalogram (EEG) --- logistic regression --- Gaussian kernel --- Laplacian prior --- affective computing --- human–robot interaction --- thermal IR imaging --- social robots --- facial expression analysis --- line segment feature analysis --- dimensionality reduction --- convolutional recurrent neural network --- driver health risk --- intelligent speech signal processing --- human computer interaction --- supervised learning --- computer vision --- optical flow --- micro facial expressions --- real-time processing --- driver stress state --- IR imaging --- machine learning --- support vector machine (SVR) --- advanced driver-assistance systems (ADAS) --- artificial intelligence --- image processing --- video processing
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Emotions play a very important role in how we think and behave. As such, the emotions we feel every day can compel us to act and influence the decisions and plans we make about our lives. Being able to measure, analyze, and better comprehend how or why our emotions may change is thus of much relevance to understand human behavior and its consequences. Despite the great efforts made in the past in the study of human emotions, it is only now, with the advent of wearable, mobile, and ubiquitous technologies, that we can aim to sense and recognize emotions, continuously and in real time. This book brings together the latest experiences, findings, and developments regarding ubiquitous sensing, modeling, and the recognition of human emotions.
Information technology industries --- self-management interview application --- emotion analysis --- facial recognition --- image-mining --- deep convolutional neural network --- emotion recognition --- pattern recognition --- texture descriptors --- mobile tool --- neuromarketing --- brain computer interface (BCI) --- consumer preferences --- EEG signal --- deep learning --- deep neural network (DNN) --- electroencephalogram (EEG) --- logistic regression --- Gaussian kernel --- Laplacian prior --- affective computing --- human–robot interaction --- thermal IR imaging --- social robots --- facial expression analysis --- line segment feature analysis --- dimensionality reduction --- convolutional recurrent neural network --- driver health risk --- intelligent speech signal processing --- human computer interaction --- supervised learning --- computer vision --- optical flow --- micro facial expressions --- real-time processing --- driver stress state --- IR imaging --- machine learning --- support vector machine (SVR) --- advanced driver-assistance systems (ADAS) --- artificial intelligence --- image processing --- video processing --- self-management interview application --- emotion analysis --- facial recognition --- image-mining --- deep convolutional neural network --- emotion recognition --- pattern recognition --- texture descriptors --- mobile tool --- neuromarketing --- brain computer interface (BCI) --- consumer preferences --- EEG signal --- deep learning --- deep neural network (DNN) --- electroencephalogram (EEG) --- logistic regression --- Gaussian kernel --- Laplacian prior --- affective computing --- human–robot interaction --- thermal IR imaging --- social robots --- facial expression analysis --- line segment feature analysis --- dimensionality reduction --- convolutional recurrent neural network --- driver health risk --- intelligent speech signal processing --- human computer interaction --- supervised learning --- computer vision --- optical flow --- micro facial expressions --- real-time processing --- driver stress state --- IR imaging --- machine learning --- support vector machine (SVR) --- advanced driver-assistance systems (ADAS) --- artificial intelligence --- image processing --- video processing
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Embedded computer systems --- C (Computer program language) --- Systèmes enfouis (Informatique) --- C (Langage de programmation) --- embedded system --- real time processing --- led display --- lcd --- os 2 --- -computer --- Systèmes enfouis (Informatique) --- 681.3*C3 --- 681.3*J7 --- Architecture Analysis and Design Language --- Special-purpose and application-based systems: microprocessor/microcomputer; process control-, real-time, signal processing systems (Computer systems organization)--See also {681.3*J7} --- Computers in other systems: command and control; consumer products; industrial control; process control; publishing; real time--See also {681.3*C3} --- 681.3*J7 Computers in other systems: command and control; consumer products; industrial control; process control; publishing; real time--See also {681.3*C3} --- 681.3*C3 Special-purpose and application-based systems: microprocessor/microcomputer; process control-, real-time, signal processing systems (Computer systems organization)--See also {681.3*J7} --- Embedded systems (Computer systems) --- Computer systems --- Programming --- C (informatica) --- embedded systems
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This is a collection of recent advances on sensors, systems, and signal/image processing methods for biomedicine and assisted living. It includes methods for heart, sleep, and vital sign measurement; human motion-related signal analysis; assistive systems; and image- and video-based diagnostic systems. It provides an overview of the state-of-the-art challenges in the respective topics and future directions. This will be useful for researchers in various domains, including computer science, electrical engineering, biomedicine, and healthcare researchers.
Information technology industries --- high efficiency video coding --- low complexity --- hardware friendly --- vehicular ad-hoc networks --- color vision deficiency --- image re-coloring --- visual assistance --- video pletysmography --- image processing --- heart rate estimation --- human-computer interaction --- biomedicine --- healthcare --- assisted living --- action classification --- human motor behavior --- computer vision --- deep learning --- pose tracking --- Brain-Computer Interface --- Blind Source Separation --- Movement Related Independent Component --- Wavelet Transform --- Convolutional Neural Network --- brain cancer --- hyperspectral imaging --- intraoperative imaging --- feature selection --- image-guided surgery --- genetic algorithm --- particle swarm optimization --- ant colony optimization --- support vector machine --- machine learning --- visual perception --- electrocardiogram (ECG) coder --- non-uniform sampling --- telecardiology --- compressed sensing --- strain gauge --- tremor quantification --- Parkinson's disease --- action tremors --- wearables --- biosensors --- sleep --- Fitbit --- Oura --- Hexoskin --- Withings --- cognition --- medical optics and biotechnology --- optical pathology --- convolutional neural networks --- tissue diagnostics --- tissue characterization --- glioblastoma --- contactless measurement --- vital signs --- RGB-thermal image processing --- infection diseases --- artificial neural network --- Doppler radar --- heart rate --- real-time processing --- visually challenged --- navigation --- image analysis --- fuzzy sets --- convolutional neural networks (CNNs) --- eye tracking --- motorized wheelchair --- ultrasonic proximity sensors --- laryngeal cancer --- contact endoscopy --- narrow band imaging --- automatic classification --- feature extraction --- Barrett neoplasia --- tissue detection --- recurrent neural networks --- upper GI tract --- high efficiency video coding --- low complexity --- hardware friendly --- vehicular ad-hoc networks --- color vision deficiency --- image re-coloring --- visual assistance --- video pletysmography --- image processing --- heart rate estimation --- human-computer interaction --- biomedicine --- healthcare --- assisted living --- action classification --- human motor behavior --- computer vision --- deep learning --- pose tracking --- Brain-Computer Interface --- Blind Source Separation --- Movement Related Independent Component --- Wavelet Transform --- Convolutional Neural Network --- brain cancer --- hyperspectral imaging --- intraoperative imaging --- feature selection --- image-guided surgery --- genetic algorithm --- particle swarm optimization --- ant colony optimization --- support vector machine --- machine learning --- visual perception --- electrocardiogram (ECG) coder --- non-uniform sampling --- telecardiology --- compressed sensing --- strain gauge --- tremor quantification --- Parkinson's disease --- action tremors --- wearables --- biosensors --- sleep --- Fitbit --- Oura --- Hexoskin --- Withings --- cognition --- medical optics and biotechnology --- optical pathology --- convolutional neural networks --- tissue diagnostics --- tissue characterization --- glioblastoma --- contactless measurement --- vital signs --- RGB-thermal image processing --- infection diseases --- artificial neural network --- Doppler radar --- heart rate --- real-time processing --- visually challenged --- navigation --- image analysis --- fuzzy sets --- convolutional neural networks (CNNs) --- eye tracking --- motorized wheelchair --- ultrasonic proximity sensors --- laryngeal cancer --- contact endoscopy --- narrow band imaging --- automatic classification --- feature extraction --- Barrett neoplasia --- tissue detection --- recurrent neural networks --- upper GI tract
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This is a collection of recent advances on sensors, systems, and signal/image processing methods for biomedicine and assisted living. It includes methods for heart, sleep, and vital sign measurement; human motion-related signal analysis; assistive systems; and image- and video-based diagnostic systems. It provides an overview of the state-of-the-art challenges in the respective topics and future directions. This will be useful for researchers in various domains, including computer science, electrical engineering, biomedicine, and healthcare researchers.
Information technology industries --- high efficiency video coding --- low complexity --- hardware friendly --- vehicular ad-hoc networks --- color vision deficiency --- image re-coloring --- visual assistance --- video pletysmography --- image processing --- heart rate estimation --- human-computer interaction --- biomedicine --- healthcare --- assisted living --- action classification --- human motor behavior --- computer vision --- deep learning --- pose tracking --- Brain-Computer Interface --- Blind Source Separation --- Movement Related Independent Component --- Wavelet Transform --- Convolutional Neural Network --- brain cancer --- hyperspectral imaging --- intraoperative imaging --- feature selection --- image-guided surgery --- genetic algorithm --- particle swarm optimization --- ant colony optimization --- support vector machine --- machine learning --- visual perception --- electrocardiogram (ECG) coder --- non-uniform sampling --- telecardiology --- compressed sensing --- strain gauge --- tremor quantification --- Parkinson’s disease --- action tremors --- wearables --- biosensors --- sleep --- Fitbit --- Oura --- Hexoskin --- Withings --- cognition --- medical optics and biotechnology --- optical pathology --- convolutional neural networks --- tissue diagnostics --- tissue characterization --- glioblastoma --- contactless measurement --- vital signs --- RGB-thermal image processing --- infection diseases --- artificial neural network --- Doppler radar --- heart rate --- real-time processing --- visually challenged --- navigation --- image analysis --- fuzzy sets --- convolutional neural networks (CNNs) --- eye tracking --- motorized wheelchair --- ultrasonic proximity sensors --- laryngeal cancer --- contact endoscopy --- narrow band imaging --- automatic classification --- feature extraction --- Barrett neoplasia --- tissue detection --- recurrent neural networks --- upper GI tract --- n/a --- Parkinson's disease
Choose an application
This is a collection of recent advances on sensors, systems, and signal/image processing methods for biomedicine and assisted living. It includes methods for heart, sleep, and vital sign measurement; human motion-related signal analysis; assistive systems; and image- and video-based diagnostic systems. It provides an overview of the state-of-the-art challenges in the respective topics and future directions. This will be useful for researchers in various domains, including computer science, electrical engineering, biomedicine, and healthcare researchers.
high efficiency video coding --- low complexity --- hardware friendly --- vehicular ad-hoc networks --- color vision deficiency --- image re-coloring --- visual assistance --- video pletysmography --- image processing --- heart rate estimation --- human-computer interaction --- biomedicine --- healthcare --- assisted living --- action classification --- human motor behavior --- computer vision --- deep learning --- pose tracking --- Brain-Computer Interface --- Blind Source Separation --- Movement Related Independent Component --- Wavelet Transform --- Convolutional Neural Network --- brain cancer --- hyperspectral imaging --- intraoperative imaging --- feature selection --- image-guided surgery --- genetic algorithm --- particle swarm optimization --- ant colony optimization --- support vector machine --- machine learning --- visual perception --- electrocardiogram (ECG) coder --- non-uniform sampling --- telecardiology --- compressed sensing --- strain gauge --- tremor quantification --- Parkinson’s disease --- action tremors --- wearables --- biosensors --- sleep --- Fitbit --- Oura --- Hexoskin --- Withings --- cognition --- medical optics and biotechnology --- optical pathology --- convolutional neural networks --- tissue diagnostics --- tissue characterization --- glioblastoma --- contactless measurement --- vital signs --- RGB-thermal image processing --- infection diseases --- artificial neural network --- Doppler radar --- heart rate --- real-time processing --- visually challenged --- navigation --- image analysis --- fuzzy sets --- convolutional neural networks (CNNs) --- eye tracking --- motorized wheelchair --- ultrasonic proximity sensors --- laryngeal cancer --- contact endoscopy --- narrow band imaging --- automatic classification --- feature extraction --- Barrett neoplasia --- tissue detection --- recurrent neural networks --- upper GI tract --- n/a --- Parkinson's disease
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