Uncertain Images: Museums and the Work of Photographs

Uncertain Images: Museums and the Work of Photographs

Author: Elizabeth Edwards

Publisher: Routledge

Published: 2016-02-17

Total Pages: 283

ISBN-13: 1317005538

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Almost all museums hold photographs in their collections, and museum professionals and their audiences engage with photographs in a myriad of ways. Yet despite some three decades of critical museology and photographic theory, and an extensive debate on the politics of representation, outside art museums, almost no critical attention has been given specifically to the roles, purposes and lives of these photographs within museums. This book brings into focus the ubiquitous yet entirely unconsidered work that photographs are put to in museums. The authors' argument is that there is an economy of photographs in museums which is integral to the processes of the museum, and integral to the understanding of museums. The international contributors, drawn from curators and academics, reflect a range of visual and museological expertise. After an introduction setting out the range of questions and problems, the first part addresses broad curatorial strategies and ways of thinking about photographs in museums. Shifting the emphasis from curatorial practices and anxieties to the space of the gallery, this is followed by a series of case studies of exhibitionary practices and the museum strategies that support them. The third section focuses on the role of photographs in the museum articulation of ’difficult histories’. A final section addresses photograph collections in a digital environment. New technologies and new media have transformed the management, address and purposing in photographs in museums, from cataloguing practices to streaming on social media. These growing practices challenge both traditional hierarchies of knowledge in museums and the location of authority about photographs. The volume emerges from PhotoCLEC, a HERA funded project on museums and the photographic legacy of the colonial past in a postcolonial and multicultural Europe.


Book Synopsis Uncertain Images: Museums and the Work of Photographs by : Elizabeth Edwards

Download or read book Uncertain Images: Museums and the Work of Photographs written by Elizabeth Edwards and published by Routledge. This book was released on 2016-02-17 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: Almost all museums hold photographs in their collections, and museum professionals and their audiences engage with photographs in a myriad of ways. Yet despite some three decades of critical museology and photographic theory, and an extensive debate on the politics of representation, outside art museums, almost no critical attention has been given specifically to the roles, purposes and lives of these photographs within museums. This book brings into focus the ubiquitous yet entirely unconsidered work that photographs are put to in museums. The authors' argument is that there is an economy of photographs in museums which is integral to the processes of the museum, and integral to the understanding of museums. The international contributors, drawn from curators and academics, reflect a range of visual and museological expertise. After an introduction setting out the range of questions and problems, the first part addresses broad curatorial strategies and ways of thinking about photographs in museums. Shifting the emphasis from curatorial practices and anxieties to the space of the gallery, this is followed by a series of case studies of exhibitionary practices and the museum strategies that support them. The third section focuses on the role of photographs in the museum articulation of ’difficult histories’. A final section addresses photograph collections in a digital environment. New technologies and new media have transformed the management, address and purposing in photographs in museums, from cataloguing practices to streaming on social media. These growing practices challenge both traditional hierarchies of knowledge in museums and the location of authority about photographs. The volume emerges from PhotoCLEC, a HERA funded project on museums and the photographic legacy of the colonial past in a postcolonial and multicultural Europe.

The Uncertain Image

The Uncertain Image

Author: Ulrik Ekman

Publisher: Routledge

Published: 2020-04-28

Total Pages: 189

ISBN-13: 0429787979

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Citizens of networked societies are almost incessantly accompanied by ecologies of images. These ecologies of still and moving images present a paradox of uncertainties emerging along with certainties. Images appear more certain as the technical capacities that render them visible increase. At the same time, images are touched by more uncertainty as their numbers, manipulabilities, and contingencies multiply. With the emergence of big data, the image is becoming a dominant vehicle for the construction and presentation of the truth of data. Images present themselves as so many promises of the certainty, predictability, and intelligibility offered by data. The focus of this book is twofold. It analyses the kinds of images appearing today, showing how they are marked by a return to modern photographic emphases on high resolution, clarity, and realistic representation. Secondly, it discusses the ways in which the uncertainty of images is increasingly underscored within such reiterated emphases on allegedly certain visual truths. This often involves renewed encounters with noise, grain, glitch, blur, vagueness, and indistinctness. This book provides the reader with an intriguing transdisciplinary investigation of the uncertainly certain relation between the cultural imagination and the techno-aesthetic regime of big data and ubiquitous computing. This book was originally published as a special issue of Digital Creativity.


Book Synopsis The Uncertain Image by : Ulrik Ekman

Download or read book The Uncertain Image written by Ulrik Ekman and published by Routledge. This book was released on 2020-04-28 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: Citizens of networked societies are almost incessantly accompanied by ecologies of images. These ecologies of still and moving images present a paradox of uncertainties emerging along with certainties. Images appear more certain as the technical capacities that render them visible increase. At the same time, images are touched by more uncertainty as their numbers, manipulabilities, and contingencies multiply. With the emergence of big data, the image is becoming a dominant vehicle for the construction and presentation of the truth of data. Images present themselves as so many promises of the certainty, predictability, and intelligibility offered by data. The focus of this book is twofold. It analyses the kinds of images appearing today, showing how they are marked by a return to modern photographic emphases on high resolution, clarity, and realistic representation. Secondly, it discusses the ways in which the uncertainty of images is increasingly underscored within such reiterated emphases on allegedly certain visual truths. This often involves renewed encounters with noise, grain, glitch, blur, vagueness, and indistinctness. This book provides the reader with an intriguing transdisciplinary investigation of the uncertainly certain relation between the cultural imagination and the techno-aesthetic regime of big data and ubiquitous computing. This book was originally published as a special issue of Digital Creativity.

Uncertain Images: Museums and the Work of Photographs

Uncertain Images: Museums and the Work of Photographs

Author: Elizabeth Edwards

Publisher: Routledge

Published: 2016-02-17

Total Pages: 289

ISBN-13: 131700552X

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Almost all museums hold photographs in their collections, and museum professionals and their audiences engage with photographs in a myriad of ways. Yet despite some three decades of critical museology and photographic theory, and an extensive debate on the politics of representation, outside art museums, almost no critical attention has been given specifically to the roles, purposes and lives of these photographs within museums. This book brings into focus the ubiquitous yet entirely unconsidered work that photographs are put to in museums. The authors' argument is that there is an economy of photographs in museums which is integral to the processes of the museum, and integral to the understanding of museums. The international contributors, drawn from curators and academics, reflect a range of visual and museological expertise. After an introduction setting out the range of questions and problems, the first part addresses broad curatorial strategies and ways of thinking about photographs in museums. Shifting the emphasis from curatorial practices and anxieties to the space of the gallery, this is followed by a series of case studies of exhibitionary practices and the museum strategies that support them. The third section focuses on the role of photographs in the museum articulation of ’difficult histories’. A final section addresses photograph collections in a digital environment. New technologies and new media have transformed the management, address and purposing in photographs in museums, from cataloguing practices to streaming on social media. These growing practices challenge both traditional hierarchies of knowledge in museums and the location of authority about photographs. The volume emerges from PhotoCLEC, a HERA funded project on museums and the photographic legacy of the colonial past in a postcolonial and multicultural Europe.


Book Synopsis Uncertain Images: Museums and the Work of Photographs by : Elizabeth Edwards

Download or read book Uncertain Images: Museums and the Work of Photographs written by Elizabeth Edwards and published by Routledge. This book was released on 2016-02-17 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: Almost all museums hold photographs in their collections, and museum professionals and their audiences engage with photographs in a myriad of ways. Yet despite some three decades of critical museology and photographic theory, and an extensive debate on the politics of representation, outside art museums, almost no critical attention has been given specifically to the roles, purposes and lives of these photographs within museums. This book brings into focus the ubiquitous yet entirely unconsidered work that photographs are put to in museums. The authors' argument is that there is an economy of photographs in museums which is integral to the processes of the museum, and integral to the understanding of museums. The international contributors, drawn from curators and academics, reflect a range of visual and museological expertise. After an introduction setting out the range of questions and problems, the first part addresses broad curatorial strategies and ways of thinking about photographs in museums. Shifting the emphasis from curatorial practices and anxieties to the space of the gallery, this is followed by a series of case studies of exhibitionary practices and the museum strategies that support them. The third section focuses on the role of photographs in the museum articulation of ’difficult histories’. A final section addresses photograph collections in a digital environment. New technologies and new media have transformed the management, address and purposing in photographs in museums, from cataloguing practices to streaming on social media. These growing practices challenge both traditional hierarchies of knowledge in museums and the location of authority about photographs. The volume emerges from PhotoCLEC, a HERA funded project on museums and the photographic legacy of the colonial past in a postcolonial and multicultural Europe.

Uncertain Projective Geometry

Uncertain Projective Geometry

Author: Stephan Heuel

Publisher: Springer Science & Business Media

Published: 2004-04-29

Total Pages: 214

ISBN-13: 3540220291

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Algebraic projective geometry, with its multilinear relations and its embedding into Grassmann-Cayley algebra, has become the basic representation of multiple view geometry, resulting in deep insights into the algebraic structure of geometric relations, as well as in efficient and versatile algorithms for computer vision and image analysis. This book provides a coherent integration of algebraic projective geometry and spatial reasoning under uncertainty with applications in computer vision. Beyond systematically introducing the theoretical foundations from geometry and statistics and clear rules for performing geometric reasoning under uncertainty, the author provides a collection of detailed algorithms. The book addresses researchers and advanced students interested in algebraic projective geometry for image analysis, in statistical representation of objects and transformations, or in generic tools for testing and estimating within the context of geometric multiple-view analysis.


Book Synopsis Uncertain Projective Geometry by : Stephan Heuel

Download or read book Uncertain Projective Geometry written by Stephan Heuel and published by Springer Science & Business Media. This book was released on 2004-04-29 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algebraic projective geometry, with its multilinear relations and its embedding into Grassmann-Cayley algebra, has become the basic representation of multiple view geometry, resulting in deep insights into the algebraic structure of geometric relations, as well as in efficient and versatile algorithms for computer vision and image analysis. This book provides a coherent integration of algebraic projective geometry and spatial reasoning under uncertainty with applications in computer vision. Beyond systematically introducing the theoretical foundations from geometry and statistics and clear rules for performing geometric reasoning under uncertainty, the author provides a collection of detailed algorithms. The book addresses researchers and advanced students interested in algebraic projective geometry for image analysis, in statistical representation of objects and transformations, or in generic tools for testing and estimating within the context of geometric multiple-view analysis.

Stochastic Partial Differential Equations for Computer Vision with Uncertain Data

Stochastic Partial Differential Equations for Computer Vision with Uncertain Data

Author: Tobias Preusser

Publisher: Springer Nature

Published: 2022-06-01

Total Pages: 150

ISBN-13: 3031025946

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In image processing and computer vision applications such as medical or scientific image data analysis, as well as in industrial scenarios, images are used as input measurement data. It is good scientific practice that proper measurements must be equipped with error and uncertainty estimates. For many applications, not only the measured values but also their errors and uncertainties, should be—and more and more frequently are—taken into account for further processing. This error and uncertainty propagation must be done for every processing step such that the final result comes with a reliable precision estimate. The goal of this book is to introduce the reader to the recent advances from the field of uncertainty quantification and error propagation for computer vision, image processing, and image analysis that are based on partial differential equations (PDEs). It presents a concept with which error propagation and sensitivity analysis can be formulated with a set of basic operations. The approach discussed in this book has the potential for application in all areas of quantitative computer vision, image processing, and image analysis. In particular, it might help medical imaging finally become a scientific discipline that is characterized by the classical paradigms of observation, measurement, and error awareness. This book is comprised of eight chapters. After an introduction to the goals of the book (Chapter 1), we present a brief review of PDEs and their numerical treatment (Chapter 2), PDE-based image processing (Chapter 3), and the numerics of stochastic PDEs (Chapter 4). We then proceed to define the concept of stochastic images (Chapter 5), describe how to accomplish image processing and computer vision with stochastic images (Chapter 6), and demonstrate the use of these principles for accomplishing sensitivity analysis (Chapter 7). Chapter 8 concludes the book and highlights new research topics for the future.


Book Synopsis Stochastic Partial Differential Equations for Computer Vision with Uncertain Data by : Tobias Preusser

Download or read book Stochastic Partial Differential Equations for Computer Vision with Uncertain Data written by Tobias Preusser and published by Springer Nature. This book was released on 2022-06-01 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: In image processing and computer vision applications such as medical or scientific image data analysis, as well as in industrial scenarios, images are used as input measurement data. It is good scientific practice that proper measurements must be equipped with error and uncertainty estimates. For many applications, not only the measured values but also their errors and uncertainties, should be—and more and more frequently are—taken into account for further processing. This error and uncertainty propagation must be done for every processing step such that the final result comes with a reliable precision estimate. The goal of this book is to introduce the reader to the recent advances from the field of uncertainty quantification and error propagation for computer vision, image processing, and image analysis that are based on partial differential equations (PDEs). It presents a concept with which error propagation and sensitivity analysis can be formulated with a set of basic operations. The approach discussed in this book has the potential for application in all areas of quantitative computer vision, image processing, and image analysis. In particular, it might help medical imaging finally become a scientific discipline that is characterized by the classical paradigms of observation, measurement, and error awareness. This book is comprised of eight chapters. After an introduction to the goals of the book (Chapter 1), we present a brief review of PDEs and their numerical treatment (Chapter 2), PDE-based image processing (Chapter 3), and the numerics of stochastic PDEs (Chapter 4). We then proceed to define the concept of stochastic images (Chapter 5), describe how to accomplish image processing and computer vision with stochastic images (Chapter 6), and demonstrate the use of these principles for accomplishing sensitivity analysis (Chapter 7). Chapter 8 concludes the book and highlights new research topics for the future.

Uncertain Archives

Uncertain Archives

Author: Nanna Bonde Thylstrup

Publisher: MIT Press

Published: 2021-02-02

Total Pages: 638

ISBN-13: 0262539888

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Scholars from a range of disciplines interrogate terms relevant to critical studies of big data, from abuse and aggregate to visualization and vulnerability. This pathbreaking work offers an interdisciplinary perspective on big data, interrogating key terms. Scholars from a range of disciplines interrogate concepts relevant to critical studies of big data--arranged glossary style, from from abuse and aggregate to visualization and vulnerability--both challenging conventional usage of such often-used terms as prediction and objectivity and introducing such unfamiliar ones as overfitting and copynorm. The contributors include both leading researchers, including N. Katherine Hayles, Johanna Drucker and Lisa Gitelman, and such emerging agenda-setting scholars as Safiya Noble, Sarah T. Roberts and Nicole Starosielski.


Book Synopsis Uncertain Archives by : Nanna Bonde Thylstrup

Download or read book Uncertain Archives written by Nanna Bonde Thylstrup and published by MIT Press. This book was released on 2021-02-02 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scholars from a range of disciplines interrogate terms relevant to critical studies of big data, from abuse and aggregate to visualization and vulnerability. This pathbreaking work offers an interdisciplinary perspective on big data, interrogating key terms. Scholars from a range of disciplines interrogate concepts relevant to critical studies of big data--arranged glossary style, from from abuse and aggregate to visualization and vulnerability--both challenging conventional usage of such often-used terms as prediction and objectivity and introducing such unfamiliar ones as overfitting and copynorm. The contributors include both leading researchers, including N. Katherine Hayles, Johanna Drucker and Lisa Gitelman, and such emerging agenda-setting scholars as Safiya Noble, Sarah T. Roberts and Nicole Starosielski.

The Uncertain Web

The Uncertain Web

Author: Rob Larsen

Publisher: "O'Reilly Media, Inc."

Published: 2014-12-10

Total Pages: 256

ISBN-13: 1491945885

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What’s the best way to develop for a Web gone wild? That’s easy. Simply scrap the rules you’ve relied on all these years and embrace uncertainty as a core tenet of design. In this practical book, veteran developer Rob Larsen outlines the principles out what he calls The Uncertain Web, and shows you techniques necessary to successfully make the transition. By combining web standards, progressive enhancement, an iterative approach to design and development, and a desire to question the status quo, your team can create sites and applications that will perform well in a wide range of present and future devices. This guide points the way. Topics include: Navigating thousands of browser/device/OS combinations Focusing on optimal, not absolute solutions Feature detection, Modernizr, and polyfills RWD, mobile first, and progressive enhancement UIs that work with multiple user input modes Image optimization, SVG, and server-side options The horribly complex world of web video The Web we want to see in the future


Book Synopsis The Uncertain Web by : Rob Larsen

Download or read book The Uncertain Web written by Rob Larsen and published by "O'Reilly Media, Inc.". This book was released on 2014-12-10 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: What’s the best way to develop for a Web gone wild? That’s easy. Simply scrap the rules you’ve relied on all these years and embrace uncertainty as a core tenet of design. In this practical book, veteran developer Rob Larsen outlines the principles out what he calls The Uncertain Web, and shows you techniques necessary to successfully make the transition. By combining web standards, progressive enhancement, an iterative approach to design and development, and a desire to question the status quo, your team can create sites and applications that will perform well in a wide range of present and future devices. This guide points the way. Topics include: Navigating thousands of browser/device/OS combinations Focusing on optimal, not absolute solutions Feature detection, Modernizr, and polyfills RWD, mobile first, and progressive enhancement UIs that work with multiple user input modes Image optimization, SVG, and server-side options The horribly complex world of web video The Web we want to see in the future

Medical Image Understanding and Analysis

Medical Image Understanding and Analysis

Author: Guang Yang

Publisher: Springer Nature

Published: 2022-07-25

Total Pages: 913

ISBN-13: 3031120531

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This book constitutes the refereed proceedings of the 26th Conference on Medical Image Understanding and Analysis, MIUA 2022, held in Cambridge, UK, in July 2022. The 65 full papers presented were carefully reviewed and selected from 95 submissions. They were organized according to following topical sections: biomarker detection; image registration, and reconstruction; image segmentation; generative models, biomedical simulation and modelling; classification; image enhancement, quality assessment, and data privacy; radiomics, predictive models, and quantitative imaging. Chapter “FCN-Transformer Feature Fusion for Polyp Segmentation” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.


Book Synopsis Medical Image Understanding and Analysis by : Guang Yang

Download or read book Medical Image Understanding and Analysis written by Guang Yang and published by Springer Nature. This book was released on 2022-07-25 with total page 913 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 26th Conference on Medical Image Understanding and Analysis, MIUA 2022, held in Cambridge, UK, in July 2022. The 65 full papers presented were carefully reviewed and selected from 95 submissions. They were organized according to following topical sections: biomarker detection; image registration, and reconstruction; image segmentation; generative models, biomedical simulation and modelling; classification; image enhancement, quality assessment, and data privacy; radiomics, predictive models, and quantitative imaging. Chapter “FCN-Transformer Feature Fusion for Polyp Segmentation” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

The Works of Edmund Burke, with a Memoir

The Works of Edmund Burke, with a Memoir

Author: Edmund Burke

Publisher:

Published: 1849

Total Pages: 640

ISBN-13:

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Book Synopsis The Works of Edmund Burke, with a Memoir by : Edmund Burke

Download or read book The Works of Edmund Burke, with a Memoir written by Edmund Burke and published by . This book was released on 1849 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

Author: Hayit Greenspan

Publisher: Springer Nature

Published: 2023-09-30

Total Pages: 828

ISBN-13: 3031438957

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The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023. The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections: Part I: Machine learning with limited supervision and machine learning – transfer learning; Part II: Machine learning – learning strategies; machine learning – explainability, bias, and uncertainty; Part III: Machine learning – explainability, bias and uncertainty; image segmentation; Part IV: Image segmentation; Part V: Computer-aided diagnosis; Part VI: Computer-aided diagnosis; computational pathology; Part VII: Clinical applications – abdomen; clinical applications – breast; clinical applications – cardiac; clinical applications – dermatology; clinical applications – fetal imaging; clinical applications – lung; clinical applications – musculoskeletal; clinical applications – oncology; clinical applications – ophthalmology; clinical applications – vascular; Part VIII: Clinical applications – neuroimaging; microscopy; Part IX: Image-guided intervention, surgical planning, and data science; Part X: Image reconstruction and image registration.


Book Synopsis Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 by : Hayit Greenspan

Download or read book Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 written by Hayit Greenspan and published by Springer Nature. This book was released on 2023-09-30 with total page 828 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023. The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections: Part I: Machine learning with limited supervision and machine learning – transfer learning; Part II: Machine learning – learning strategies; machine learning – explainability, bias, and uncertainty; Part III: Machine learning – explainability, bias and uncertainty; image segmentation; Part IV: Image segmentation; Part V: Computer-aided diagnosis; Part VI: Computer-aided diagnosis; computational pathology; Part VII: Clinical applications – abdomen; clinical applications – breast; clinical applications – cardiac; clinical applications – dermatology; clinical applications – fetal imaging; clinical applications – lung; clinical applications – musculoskeletal; clinical applications – oncology; clinical applications – ophthalmology; clinical applications – vascular; Part VIII: Clinical applications – neuroimaging; microscopy; Part IX: Image-guided intervention, surgical planning, and data science; Part X: Image reconstruction and image registration.