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La couleur est un terme qui désigne différentes réalités selon le champ théorique et pratique auquel on se réfère. L'artiste, le technicien, le scientifique ou l'industriel, chacun utilise sa couleur, ses couleurs. Il convient pourtant d'extraire de ces expériences variées la racine commune qui définit la couleur comme phénomène physique. Les trois éléments dont l'interaction définit e phénomène-couleur sont : la lumière, la matière et l'observateur. Dans cet ouvrage l'auteur se propose de restreindre son approche du phénomène-couleur à l'interaction lumière/matière et d'approfondir l'étude de ce phénomène dans sa dimension purement physique. Ainsi grâce aux modèles optiques, il permet de comprendre telle couleur particulière, telle apparence visuelle comme la résultante d'interactions spécifiques entre lumière et matière. Des applications importantes en découlent en terme de simulation optimale de couleur par une synthèse scientifique des images. Toute personne travaillant sur le rendu des couleurs dans les simulations par synthèse d'images améliorera grâce à cet ouvrage sa maîtrise des phénomènes sur lesquels il travaille. Cet ouvrage s'adresse donc aux graphistes, infographistes, étudiants, ingénieurs ou chercheurs en arts graphiques et plus généralement à tous ceux qui souhaitent progresser vers une utilisation mieux maîtrisée de la couleur et de l'apparence visuelle dans leur travail sur les images de synthèse.
Infographie. --- Pigments. --- Infographie couleur. --- Optique. --- Photonique. --- Couleur --- Lumière. --- Analyse.
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This book provides a deep analysis and wide coverage of the very strong trend in computer vision and visual indexing and retrieval, covering such topics as incorporation of models of Human Visual attention into analysis and retrieval tasks. It makes the bridge between psycho-visual modelling of Human Visual System and the classical and most recent models in visual content indexing and retrieval. The large spectrum of visual tasks, such as recognition of textures in static images, of actions in video content, image retrieval, different methods of visualization of images and multimedia content based on visual saliency are presented by the authors. Furthermore, the interest in visual content is modelled with the means of the latest classification models such as Deep Neural Networks is also covered in this book. This book is an exceptional resource as a secondary text for researchers and advanced level students, who are involved in the very wide research in computer vision, visual information indexing and retrieval. Professionals working in this field will also be interested in this book as a reference.
Computer science. --- Information storage and retrieval. --- Multimedia information systems. --- Artificial intelligence. --- Image processing. --- Computer Science. --- Image Processing and Computer Vision. --- Information Storage and Retrieval. --- Artificial Intelligence (incl. Robotics). --- Multimedia Information Systems. --- Pattern recognition systems. --- Content-based image retrieval. --- CBIR (Content-based image retrieval) --- CBVIR (Content-based visual information retrieval) --- Content-based visual information retrieval --- QBIC (Query by image content) --- Query by image content --- Image processing --- Information retrieval --- Pattern recognition systems --- Pattern classification systems --- Pattern recognition computers --- Pattern perception --- Computer vision --- Digital techniques --- Computer vision. --- Information storage and retrieva. --- Multimedia systems. --- Artificial Intelligence. --- Computer-based multimedia information systems --- Multimedia computing --- Multimedia information systems --- Multimedia knowledge systems --- Information storage and retrieval systems --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Machine vision --- Vision, Computer --- Artificial intelligence --- Information storage and retrieval systems. --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Optical data processing. --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment --- Information retrieval. --- Information organization. --- Information storage and retrieval --- Organization of information --- Information science --- Data retrieval --- Data storage --- Discovery, Information --- Information discovery --- Retrieval of information --- Documentation
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This book provides a deep analysis and wide coverage of the very strong trend in computer vision and visual indexing and retrieval, covering such topics as incorporation of models of Human Visual attention into analysis and retrieval tasks. It makes the bridge between psycho-visual modelling of Human Visual System and the classical and most recent models in visual content indexing and retrieval. The large spectrum of visual tasks, such as recognition of textures in static images, of actions in video content, image retrieval, different methods of visualization of images and multimedia content based on visual saliency are presented by the authors. Furthermore, the interest in visual content is modelled with the means of the latest classification models such as Deep Neural Networks is also covered in this book. This book is an exceptional resource as a secondary text for researchers and advanced level students, who are involved in the very wide research in computer vision, visual information indexing and retrieval. Professionals working in this field will also be interested in this book as a reference.
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At the time of rapid technological progress and uptake of High Dynamic Range (HDR) video content in numerous sectors, this book provides an overview of the key supporting technologies, discusses the effectiveness of various techniques, reviews the initial standardization efforts and explores new research directions in all aspects involved in HDR video systems. Topics addressed include content acquisition and production, tone mapping and inverse tone mapping operators, coding, quality of experience, and display technologies. This book also explores a number of applications using HDR video technologies in the automotive industry, medical imaging, spacecraft imaging, driving simulation and watermarking. By covering general to advanced topics, along with a broad and deep analysis, this book is suitable for both the researcher new or familiar to the area. With this book the reader will: Gain a broad understanding of all the elements in the HDR video processing chain Learn the most recent results of ongoing research Understand the challenges and perspectives for HDR video technologies Covers a broad range of topics encompassing the whole processing chain in HDR video systems, from acquisition to display Provides a comprehensive overview of this fast emerging topic Presents upcoming applications taking advantages of HDR
High dynamic range imaging. --- HDR imaging --- HDRI (Photography) --- Image processing --- Photography --- Digital techniques --- Exposure
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"This book provides an overview of the key technologies for high dynamic range (HDR) video and discusses the effectiveness of various techniques, while also reviewing relevant standardization efforts and exploring new research directions in all aspects involved in HDR video systems."
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Indispensable à la régulation du climat, au développement de la vie sur Terre, au maintien des écosystèmes, aux populations, au développement de l'agriculture, de l'industrie comme à la production d'énergie, l'eau est un élément vital. Il convient donc, dans un contexte de changement global, d'analyser dans toute sa diversité la place et le rôle de l'eau et de se donner ainsi les moyens de mieux la préserver. Autour de cet enjeu qui engage toute l'humanité, Agathe Euzen, Catherine Jeandel et Rémy Mosseri ont réuni près de cent cinquante contributions, visant à apporter un éclairage sur chacun des domaines et des approches que couvre cette thématique. Quelle est l'origine de l'eau ? Son rapport avec l'apparition de la vie ? Quel rôle a-t-elle joué dans l'histoire de la planète et dans le développement de la vie végétale, animale et humaine ? Quel est son cycle ? Quelles sont ses propriétés chimiques ? Comment les sociétés se sont-elles emparées de cet élément précieux ? Allons-nous manquer d'eau ? L'eau est-elle source de conflits ? Comment l'eau est-elle gérée ? Comment recycle-t-on une eau polluée ? Quels sont les risques pour la santé mondiale ? Quels sont les grands enjeux liés à l'eau au xxie siècle ? Comprendre et proposer des solutions à ces défis majeurs est l'intention de cet ouvrage.
Humanities, Multidisciplinary --- eau --- ressource naturelle --- biodiversité
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