Download or read book MODELISATIONS MARKOVIENNES MULTIRESOLUTIONS EN VISION PAR ORDINATEUR APPLICATION A LA SEGMENTATION D IMAGES SPOT written by JOZSEF ZOLTAN.. KATO and published by . This book was released on 1994 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: DANS CETTE THESE, NOUS NOUS INTERESSONS AUX MODELES MARKOVIENS APPLIQUES AUX PROBLEMES DE VISION PRE-ATTENTIVE. NOUS CONSIDERONS CES PROBLEMES DANS UN CADRE GENERAL, APPELE ETIQUETAGE D'IMAGE, OU LE PROBLEME CONSISTE A ATTRIBUER DES ETIQUETTES AUX PIXELS. NOTRE APPROCHE EST FONDEE SUR LES CHAMPS DE MARKOV ET L'ESTIMATION BAYESIENNE, EN PARTICULIER L'ESTIMATION DE MAXIMUM A POSTERIORI (MAP). L'AVANTAGE DE LA MODELISATION MARKOVIENNE EST DE FOURNIR UN MODELE SIMPLE QUI NOUS PERMET DE DEFINIR LES INFORMATIONS A PRIORI PAR DES POTENTIELS LOCAUX. NOUS PRESENTONS AUSSI LES MODELES PYRAMIDAUX QUI REDUISENT LE TEMPS DE CALCUL ET AMELIORENT LE RESULTAT FINAL. L'ESTIMATION DES PARAMETRES EST UN AUTRE PROBLEME IMPORTANT POUR LES APPLICATIONS REELLES. NOUS APPLIQUONS QUELQUES METHODES CONNUES A L'ESTIMATION DE PARAMETRES DU MODELE MONOGRILLE ET PROPOSONS DES NOUVEAUX ALGORITHMS D'ESTIMATION POUR LE MODELE HIERARCHIQUE. LES PREMIERS RESULTATS SONT SATISFAISANTES MAIS IL RESTE BEAUCOUP DE TRAVAIL A FAIRE SUR LE SUJET. TOUS LES MODELES MARKOVIENS NECESSITENT LA MINIMISATION D'UNE FONCTION D'ENERGIE NON-CONVEXE. NOUS AVONS DEUX CHOIX POUR RESOUDRE CE PROBLEME: SOIT PAR RECUIT SIMULE SOIT PAR RELAXATION DETERMINISTE. NOUS DISCUTONS LA POSSIBILITE DE PARALLELISER CES ALGORITHMES. NOTRE PRINCIPAL RESULTAT EST UN MODELE MARKOVIEN HIERARCHIQUE ET UN ALGORITHME DE RECUIT MULTI-TEMPERATURE (MTA) POUR LA MINIMISATION DE LA FONCTION D'ENERGIE DU MODELE HIERARCHIQUE. POUR LE MTA, NOUS AVONS PROUVE LA CONVERGENCE VERS UN MINIMUM GLOBAL DANS LE CAS LE PLUS GENERAL OU CHAQUE CLIQUE A SA PROPRE LOI DE TEMPERATURE. IL RESTE QUELQUES PROBLEMES OUVERTS COMME LA RELATION ENTRE LES VALEURS ESTIMEES AU SENS DU MAP POUR LES MODELES MONOGRILLE ET HIERARCHIQUE, L'IMPLANTATION DE L'ALGORITHME MTA SUR UNE ARCHITECTURE PYRAMIDALE OU BIEN LA MISE EN UVRE UNE METHODE BEAUCOUP PLUS RAPIDE POUR L'ESTIMATION DE PARAMETRES

Download or read book Embedded Computer Systems Architectures Modeling and Simulation written by Stamatis Vassiliadis and published by Springer. This book was released on 2007-08-30 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: Researchers and professionals in the appropriate subject areas will find this book an essential update on where research has got to in what is, after all, a hugely important area. It constitutes the refereed proceedings of the 7th International Workshop on Systems, Architectures, Modeling, and Simulation, held in Samos, Greece, in July 2007. The 44 revised full papers presented together with 2 keynote talks were thoroughly reviewed and selected from 116 submissions

Download or read book MODELISATIONS MARKOVIENNES MULTIRESOLUTIONS EN VISION PAR ORDINATEUR APPLICATION A LA SEGMENTATION D IMAGES SPOT written by JOZSEF ZOLTAN.. KATO and published by . This book was released on 1994 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: DANS CETTE THESE, NOUS NOUS INTERESSONS AUX MODELES MARKOVIENS APPLIQUES AUX PROBLEMES DE VISION PRE-ATTENTIVE. NOUS CONSIDERONS CES PROBLEMES DANS UN CADRE GENERAL, APPELE ETIQUETAGE D'IMAGE, OU LE PROBLEME CONSISTE A ATTRIBUER DES ETIQUETTES AUX PIXELS. NOTRE APPROCHE EST FONDEE SUR LES CHAMPS DE MARKOV ET L'ESTIMATION BAYESIENNE, EN PARTICULIER L'ESTIMATION DE MAXIMUM A POSTERIORI (MAP). L'AVANTAGE DE LA MODELISATION MARKOVIENNE EST DE FOURNIR UN MODELE SIMPLE QUI NOUS PERMET DE DEFINIR LES INFORMATIONS A PRIORI PAR DES POTENTIELS LOCAUX. NOUS PRESENTONS AUSSI LES MODELES PYRAMIDAUX QUI REDUISENT LE TEMPS DE CALCUL ET AMELIORENT LE RESULTAT FINAL. L'ESTIMATION DES PARAMETRES EST UN AUTRE PROBLEME IMPORTANT POUR LES APPLICATIONS REELLES. NOUS APPLIQUONS QUELQUES METHODES CONNUES A L'ESTIMATION DE PARAMETRES DU MODELE MONOGRILLE ET PROPOSONS DES NOUVEAUX ALGORITHMS D'ESTIMATION POUR LE MODELE HIERARCHIQUE. LES PREMIERS RESULTATS SONT SATISFAISANTES MAIS IL RESTE BEAUCOUP DE TRAVAIL A FAIRE SUR LE SUJET. TOUS LES MODELES MARKOVIENS NECESSITENT LA MINIMISATION D'UNE FONCTION D'ENERGIE NON-CONVEXE. NOUS AVONS DEUX CHOIX POUR RESOUDRE CE PROBLEME: SOIT PAR RECUIT SIMULE SOIT PAR RELAXATION DETERMINISTE. NOUS DISCUTONS LA POSSIBILITE DE PARALLELISER CES ALGORITHMES. NOTRE PRINCIPAL RESULTAT EST UN MODELE MARKOVIEN HIERARCHIQUE ET UN ALGORITHME DE RECUIT MULTI-TEMPERATURE (MTA) POUR LA MINIMISATION DE LA FONCTION D'ENERGIE DU MODELE HIERARCHIQUE. POUR LE MTA, NOUS AVONS PROUVE LA CONVERGENCE VERS UN MINIMUM GLOBAL DANS LE CAS LE PLUS GENERAL OU CHAQUE CLIQUE A SA PROPRE LOI DE TEMPERATURE. IL RESTE QUELQUES PROBLEMES OUVERTS COMME LA RELATION ENTRE LES VALEURS ESTIMEES AU SENS DU MAP POUR LES MODELES MONOGRILLE ET HIERARCHIQUE, L'IMPLANTATION DE L'ALGORITHME MTA SUR UNE ARCHITECTURE PYRAMIDALE OU BIEN LA MISE EN UVRE UNE METHODE BEAUCOUP PLUS RAPIDE POUR L'ESTIMATION DE PARAMETRES

Download or read book Unsupervised Learning and Reverse Optical Flow in Mobile Robotics written by Andrew Lookingbill and published by Stanford University. This book was released on 2011 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: As sensor resolution increases and costs decrease, the amount of data available on mobile robotics platforms is exploding. Unsupervised machine learning algorithms, and their ability to produce useful information without large labeled training sets, are an important tool for benefiting from this abundance. In this thesis the application of unsupervised learning to three subfields of mobile robotics is discussed. Tracking multiple moving objects from an unmanned aerial vehicle, road following in loosely-structured environments, and autonomous offroad navigation. The thesis focuses on building dynamic activity-based ground models for multi-object tracking, the combination of optical flow techniques and dynamic programming to estimate the location of a road, and the use of optical flow techniques to improve the quality of an autonomous robot's obstacle classification.

Download or read book 2000 IEEE International Conference on Acoustics Speech and Signal Processing written by and published by . This book was released on 2000 with total page 670 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Local Approximation Techniques in Signal and Image Processing written by Vladimir I︠A︡kovlevich Katkovnik and published by SPIE-International Society for Optical Engineering. This book was released on 2006 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with a wide class of novel and efficient adaptive signal processing techniques developed to restore signals from noisy and degraded observations. These signals include those acquired from still or video cameras, electron microscopes, radar, X-rays, or ultrasound devices, and are used for various purposes, including entertainment, medical, business, industrial, military, civil, security, and scientific. In many cases useful information and high quality must be extracted from the imaging. However, often raw signals are not directly suitable for this purpose and must be processed in some way. Such processing is called signal reconstruction. This book is devoted to a recent and original approach to signal reconstruction based on combining two independent ideas: local polynomial approximation and the intersection of confidence interval rule.

Download or read book Markov Random Fields in Image Segmentation written by Zoltan Kato and published by Now Pub. This book was released on 2012-09 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: Markov Random Fields in Image Segmentation provides an introduction to the fundamentals of Markovian modeling in image segmentation as well as a brief overview of recent advances in the field. Segmentation is formulated within an image labeling framework, where the problem is reduced to assigning labels to pixels. In a probabilistic approach, label dependencies are modeled by Markov random fields (MRF) and an optimal labeling is determined by Bayesian estimation, in particular maximum a posteriori (MAP) estimation. The main advantage of MRF models is that prior information can be imposed locally through clique potentials. MRF models usually yield a non-convex energy function. The minimization of this function is crucial in order to find the most likely segmentation according to the MRF model. Classical optimization algorithms including simulated annealing and deterministic relaxation are treated along with more recent graph cut-based algorithms. The primary goal of this monograph is to demonstrate the basic steps to construct an easily applicable MRF segmentation model and further develop its multi-scale and hierarchical implementations as well as their combination in a multilayer model. Representative examples from remote sensing and biological imaging are analyzed in full detail to illustrate the applicability of these MRF models. Furthermore, a sample implementation of the most important segmentation algorithms is available as supplementary software. Markov Random Fields in Image Segmentation is an invaluable resource for every student, engineer, or researcher dealing with Markovian modeling for image segmentation.

Download or read book Streaming Media Architectures Techniques and Applications Recent Advances written by Zhu, Ce and published by IGI Global. This book was released on 2010-09-30 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book spans a number of interdependent and emerging topics in streaming media, offering a comprehensive collection of topics including media coding, wireless/mobile video, P2P media streaming, and applications of streaming media"--Provided by publisher.

Download or read book Applied Signal Processing written by Thierry Dutoit and published by Springer Science & Business Media. This book was released on 2010-06-10 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Signal Processing: A MATLAB-Based Proof of Concept benefits readers by including the teaching background of experts in various applied signal processing fields and presenting them in a project-oriented framework. Unlike many other MATLAB-based textbooks which only use MATLAB to illustrate theoretical aspects, this book provides fully commented MATLAB code for working proofs-of-concept. The MATLAB code provided on the accompanying online files is the very heart of the material. In addition each chapter offers a functional introduction to the theory required to understand the code as well as a formatted presentation of the contents and outputs of the MATLAB code. Each chapter exposes how digital signal processing is applied for solving a real engineering problem used in a consumer product. The chapters are organized with a description of the problem in its applicative context and a functional review of the theory related to its solution appearing first. Equations are only used for a precise description of the problem and its final solutions. Then a step-by-step MATLAB-based proof of concept, with full code, graphs, and comments follows. The solutions are simple enough for readers with general signal processing background to understand and they use state-of-the-art signal processing principles. Applied Signal Processing: A MATLAB-Based Proof of Concept is an ideal companion for most signal processing course books. It can be used for preparing student labs and projects.

Download or read book Inverse Problems in Vision and 3D Tomography written by Ali Mohamad-Djafari and published by John Wiley & Sons. This book was released on 2013-01-29 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: The concept of an inverse problem is a familiar one to most scientists and engineers, particularly in the field of signal and image processing, imaging systems (medical, geophysical, industrial non-destructive testing, etc.), and computer vision. In imaging systems, the aim is not just to estimate unobserved images but also their geometric characteristics from observed quantities that are linked to these unobserved quantities by a known physical or mathematical relationship. In this manner techniques such as image enhancement or addition of hidden detail can be delivered. This book focuses on imaging and vision problems that can be clearly described in terms of an inverse problem where an estimate for the image and its geometrical attributes (contours and regions) is sought. The book uses a consistent methodology to examine inverse problems such as: noise removal; restoration by deconvolution; 2D or 3D reconstruction in X-ray, tomography or microwave imaging; reconstruction of the surface of a 3D object using X-ray tomography or making use of its shading; reconstruction of the surface of a 3D landscape based on several satellite photos; super-resolution; motion estimation in a sequence of images; separation of several images mixed using instruments with different sensitivities or transfer functions; and much more.

Download or read book Multimodal Corpora written by Michael Kipp and published by Springer Science & Business Media. This book was released on 2009-09-23 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on the International Workshop on "Multimodal Corpora: From Models of Natural Interaction to Systems and Applications", this expanded collection presents a comprehensive review of the current research in the field.

Download or read book Advances in Computing Systems and Applications written by Mustapha Reda Senouci and published by Springer. This book was released on 2021-02-21 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings book gathers selected papers presented at the 4th Conference on Computing Systems and Applications (CSA2020) held on December 14, 2020, at the Ecole Militaire Polytechnique, Algiers, Algeria. The proceedings provide a collection of new ideas, original research findings, and experimental results in the field of computer science covering: artificial intelligence, data science, computer networks and security, information systems, software engineering, and computer graphics. The proceedings are a valuable reference work for students, researchers, academics, and industry practitioners interested in the latest scientific and technological advances across the conference topics. Benefits: • Explores the latest research trends and their applications in a broad range of computer science disciplines • Presents a collection of contributions in emerging topics in computer science and information technology • Covers artificial intelligence, data science, computer networks and security, information systems, software engineering, and computer graphics

Download or read book Multimodal User Interfaces written by Dimitros Tzovaras and published by Springer Science & Business Media. This book was released on 2008-02-27 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: tionship indicates how multimodal medical image processing can be unified to a large extent, e. g. multi-channel segmentation and image registration, and extend information theoretic registration to other features than image intensities. The framework is not at all restricted to medical images though and this is illustrated by applying it to multimedia sequences as well. In Chapter 4, the main results from the developments in plastic UIs and mul- modal UIs are brought together using a theoretic and conceptual perspective as a unifying approach. It is aimed at defining models useful to support UI plasticity by relying on multimodality, at introducing and discussing basic principles that can drive the development of such UIs, and at describing some techniques as proof-of-concept of the aforementioned models and principles. In Chapter 4, the authors introduce running examples that serve as illustration throughout the d- cussion of the use of multimodality to support plasticity.

Download or read book 2020 IEEE International Smart Cities Conference ISC2 written by IEEE Staff and published by . This book was released on 2020-09-28 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The IEEE International Smart Cities Conference is the flagship IEEE Smart Cities event which brings together practitioners, city policymakers & administrators, infrastructure operators, industry representatives and researchers to present technologies and applications, share their experiences & views with current and future Smart Cities applications The conference includes keynote and panel session discussions, tutorials given by experts on state of the art topics, and special sessions on emerging topics with the aim of complementing the regular program All papers will be presented in a virtual poster session

Download or read book Proceedings of the IEEE EURASIP Workshop on Nonlinear Signal Processing written by A. Enis Çetin and published by . This book was released on 1999 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Pattern Recognition and Applications written by María Inés Torres and published by . This book was released on 2000 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book High Dynamic Range Video written by Alan Chalmers and published by Academic Press. This book was released on 2016-12-05 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: High Dynamic Range Video: Concepts, Technologies and Applications gives an introduction to a full range of topics within the end-to-end HDR video pipeline, covering the issues around capturing HDR and stereo HDR video, such as ghosting and use of legacy LDR systems, how HDR video can be manipulated, including real-time mixing, the very latest designs for HDR displays, HDR video on mobile devices, and the applications of HDR video. With this book, the reader will gain an overview of the current state-of-the art of HDR video, learn the potential of HDR video to provide a step change to a wide range of imaging applications, and attain the knowledge needed to introduce HDR video in their own applications. - Written by experts who have been actively researching High Dynamic Range Video - Covers a full range of topics within the end-to-end HDR video pipeline - Provides applications that demonstrate how HDR video can be applied