Dynamic Textures Models And Applications
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Dynamic Textures Models And Applications
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Author : Bernard S. Ghanem
language : en
Publisher:
Release Date : 2010
Dynamic Textures Models And Applications written by Bernard S. Ghanem and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.
Temporal or dynamic textures are video sequences that are spatially repetitive and temporally stationary. Dynamic textures are temporal analogs of the more common spatial texture. They are a family of visual phenomena where the texture elements, or the spatially repeating elements, undergo stochastic motions that are statistically similar. Dynamic textures appear in a vast spectrum of videos, ranging from sequences of moving water, foliage, smoke, and clouds to sequences of swarms of birds, robots, and even humans in crowds. Also, the applications concerning such video sequences are significant and numerous, including surveillance (e.g. monitoring traffic or crowds), detection of the onset of emergencies (e.g. outbreak of fires), and foreground and background separation (e.g. the transfer of a dynamic texture from one environment to another or simply dynamic texture removal). The study of dynamic textures poses numerous challenges, especially for traditional motion models that fail to capture the stochastic nature of dynamic textures. Despite their importance, the study of dynamic textures has just recently attracted the attention of the computer vision community. Most recent work on dynamic texture modeling represents these frames as the responses of a linear dynamical system (LDS) to noise. Despite its merits, this model has limitations because it attempts to model temporal variations in individual pixel intensities; such modeling does not take advantage of global motion coherence. In this dissertation, we will highlight the three main dimensions along which dynamic textures vary: the nature of the texture elements describing the dynamic texture spatially, their organization and layering, and their dynamics. We believe that no single spatiotemporal model can be proposed to handle dynamic textures sampled from this three-dimensional space. Instead, we propose three models, each of which applies to a certain ``range" of dynamic textures in this space. These three models by no means cover the whole space of dynamic textures; however, they build an essential framework or stepping-stone for future models. These models can be used in various applications, including dynamic texture synthesis, compression, recognition, and foreground and background layer separation. When possible, we compare the performance of these models to others in the literature in terms of recognition performance or computational efficiency. Developing these models and applying them to different problems uncovered several new and interesting problems that are also important to the fields of computer vision and image processing. We show how these new problems are generalized and efficiently addressed.
Scalable And Accurate Dynamic Texture Models With Applications To Computer Vision
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Author : Adeel Mumtaz
language : en
Publisher:
Release Date : 2014
Scalable And Accurate Dynamic Texture Models With Applications To Computer Vision written by Adeel Mumtaz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Computer vision categories.
Phase Based Modeling Of Dynamic Textures And Its Applications
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Author : Bernard Semaan Ghanem
language : en
Publisher:
Release Date : 2008
Phase Based Modeling Of Dynamic Textures And Its Applications written by Bernard Semaan Ghanem and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with categories.
Beyond Dynamic Textures
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Author : Antoni Bert Chan
language : en
Publisher:
Release Date : 2008
Beyond Dynamic Textures written by Antoni Bert Chan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with categories.
Beyond dynamic textures: A family of stochastic dynamical models for video with applications to computer vision.
Segmentation Of Dynamic Textures With The Star Mixture Model
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Author : Lee Cooper
language : en
Publisher:
Release Date : 2006
Segmentation Of Dynamic Textures With The Star Mixture Model written by Lee Cooper and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Video compression categories.
Abstract: Emerging video technologies, including automated analysis and content-based compression, closely depend on motion modeling and often require the simultaneous use of multiple models to handle different regions of a video scene. The effective use of multiple models however presents a familiar problem in modeling mixed data: the circular dependence between model identification and segmentation. In this thesis the problem of mixture modeling and segmentation is considered for a special class of videos known as dynamic texture. A mixture of linear spatio-temporal models is developed to model data with distinct spatio-temporal characteristics, and the data is shown to be modeled equivalently by a mixture of subspaces within the feature space. The problem of clustering data onto an unknown number of subspaces with different dimensions is addressed with generalized principal component analysis to solve for the segmentation and models simultaneously. The results of this method are demonstrated with applications in medical imaging and video compression.
Visual Texture
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Author : Michal Haindl
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-01-18
Visual Texture written by Michal Haindl and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-18 with Computers categories.
This book surveys the state of the art in multidimensional, physically-correct visual texture modeling. Features: reviews the entire process of texture synthesis, including material appearance representation, measurement, analysis, compression, modeling, editing, visualization, and perceptual evaluation; explains the derivation of the most common representations of visual texture, discussing their properties, advantages, and limitations; describes a range of techniques for the measurement of visual texture, including BRDF, SVBRDF, BTF and BSSRDF; investigates the visualization of textural information, from texture mapping and mip-mapping to illumination- and view-dependent data interpolation; examines techniques for perceptual validation and analysis, covering both standard pixel-wise similarity measures and also methods of visual psychophysics; reviews the applications of visual textures, from visual scene analysis in medical applications, to high-quality visualizations in the automotive industry.
Hidden Markov Models And Applications
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Author : Nizar Bouguila
language : en
Publisher: Springer Nature
Release Date : 2022-05-19
Hidden Markov Models And Applications written by Nizar Bouguila and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-19 with Technology & Engineering categories.
This book focuses on recent advances, approaches, theories, and applications related Hidden Markov Models (HMMs). In particular, the book presents recent inference frameworks and applications that consider HMMs. The authors discuss challenging problems that exist when considering HMMs for a specific task or application, such as estimation or selection, etc. The goal of this volume is to summarize the recent advances and modern approaches related to these problems. The book also reports advances on classic but difficult problems in HMMs such as inference and feature selection and describes real-world applications of HMMs from several domains. The book pertains to researchers and graduate students, who will gain a clear view of recent developments related to HMMs and their applications.
Dynamic Texture Modeling
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Author : Gianfranco Doretto
language : en
Publisher:
Release Date : 2002
Dynamic Texture Modeling written by Gianfranco Doretto and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with categories.
Dynamic Textures
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Author : Gianfranco Doretto
language : en
Publisher:
Release Date : 2005
Dynamic Textures written by Gianfranco Doretto and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.
Proceedings
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Author :
language : en
Publisher:
Release Date : 2005
Proceedings written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Multimedia systems categories.