Performing Image

Performing Image
Author: Isobel Harbison
Publisher: MIT Press
Total Pages: 257
Release: 2019-04-09
Genre: Social Science
ISBN: 0262039214

An examination of how artists have combined performance and moving image for decades, anticipating our changing relation to images in the internet era. In Performing Image, Isobel Harbison examines how artists have combined performance and moving image in their work since the 1960s, and how this work anticipates our changing relations to images since the advent of smart phones and the spread of online prosumerism. Over this period, artists have used a variety of DIY modes of self-imaging and circulation—from home video to social media—suggesting how and why Western subjects might seek alternative platforms for self-expression and self-representation. In the course of her argument, Harbison offers close analyses of works by such artists as Robert Rauschenberg, Yvonne Rainer, Mark Leckey, Wu Tsang, and Martine Syms. Harbison argues that while we produce images, images also produce us—those that we take and share, those that we see and assimilate through mass media and social media, those that we encounter in museums and galleries. Although all the artists she examines express their relation to images uniquely, they also offer a vantage point on today's productive-consumptive image circuits in which billions of us are caught. This unregulated, all-encompassing image performativity, Harbison writes, puts us to work, for free, in the service of global corporate expansion. Harbison offers a three-part interpretive framework for understanding this new proximity to images as it is negotiated by these artworks, a detailed outline of a set of connected practices—and a declaration of the value of art in an economy of attention and a crisis of representation.

METHODS AND SYSTEMS FOR PERFORMING SEGMENTATION AND REGISTRATION OF IMAGES USING NEUTROSOPHIC SIMILARITY SCORES

METHODS AND SYSTEMS FOR PERFORMING SEGMENTATION AND REGISTRATION OF IMAGES USING NEUTROSOPHIC SIMILARITY SCORES
Author: Yanhui Guo
Publisher: Infinite Study
Total Pages: 22
Release:
Genre: Mathematics
ISBN:

An example method for segmenting an object contained in an image includes receiving an image including a plurality of pixels , transforming a plurality of characteristics of a pixel into respective neutrosophic set domains , calculating a neutrosophic similarity score for the pixel based on the respective neutrosophic set domains for the characteristics of the pixel , segmenting an object from background of the image using a region growing algorithm based on the neutrosophic similarity score for the pixel , and receiving a margin adjustment related to the object segmented from the background of the image .

Performing Images

Performing Images
Author: Judith T. Zeitlin
Publisher: Smart Museum of Art, the University of C
Total Pages: 0
Release: 2014
Genre: Art and society
ISBN: 9780935573558

Writing in the early nineteenth century, the French traveler and cleric Abbé Huc exclaimed: "There is, perhaps, not a people in the world who carry so far their taste and passion for theatrical entertainments as the Chinese.” This taste and passion for the theater was not restricted to the stage, but permeated the visual and material world of everyday life from the village to the court. The visual spectacle of this theater is well known, displayed primarily through colorful costumes, props, and face painting. What is less known is the extent to which operatic characters and stories were favored as pictorial and decorative motifs across the full spectrum of visual mediums, from courtly scroll paintings, popular New Year prints, illustrated woodblock books and painted fans to carved utensils, ceramics, textiles, and dioramas.

Doing Web Development

Doing Web Development
Author: Deborah Kurata
Publisher: Apress
Total Pages: 494
Release: 2008-01-01
Genre: Computers
ISBN: 143020852X

Written for professional software developers this book maps out the client-side issues that every Web application programmer needs to know. It provides comprehensive coverage on all aspects of client-side Web development, from the basics of HTML to client-side scripting to XML, XSL, and SOAP. In doing so, Kurata provides an essential balance to the server-side techniques, such as database access and server component development. These client-side techniques enable Web application developers to offload work to the client computer, improving scalability by reducing server requests, while simultaneously offering a richer user experience. To that end, this book is indispensable reading for any software developer interested in up-to-date coverage of the essentials of web development.

Multi-Sensor Image Fusion and Its Applications

Multi-Sensor Image Fusion and Its Applications
Author: Rick S. Blum
Publisher: CRC Press
Total Pages: 528
Release: 2018-10-03
Genre: Technology & Engineering
ISBN: 1420026984

Taking another lesson from nature, the latest advances in image processing technology seek to combine image data from several diverse types of sensors in order to obtain a more accurate view of the scene: very much the same as we rely on our five senses. Multi-Sensor Image Fusion and Its Applications is the first text dedicated to the theory and practice of the registration and fusion of image data, covering such approaches as statistical methods, color-related techniques, model-based methods, and visual information display strategies. After a review of state-of-the-art image fusion techniques, the book provides an overview of fusion algorithms and fusion performance evaluation. The following chapters explore recent progress and practical applications of the proposed techniques to solving problems in such areas as medical diagnosis, surveillance and biometric systems, remote sensing, nondestructive evaluation, blurred image restoration, and image quality assessment. Recognized leaders from industry and academia contribute the chapters, reflecting the latest research trends and providing useful algorithms to aid implementation. Supplying a 28-page full-color insert, Multi-Sensor Image Fusion and Its Applications clearly demonstrates the benefits and possibilities of this revolutionary development. It provides a solid knowledge base for applying these cutting-edge techniques to new challenges and creating future advances.

Medical Imaging and Image-Guided Interventions

Medical Imaging and Image-Guided Interventions
Author: Ronnie Sebro
Publisher: BoD – Books on Demand
Total Pages: 98
Release: 2019-07-24
Genre: Medical
ISBN: 1838811885

"Medical Imaging and Image-Guided Interventions" is a collection of reviewed and relevant research chapters, offering a comprehensive overview of recent developments in this field of study. This publication aims at providing a thorough overview of the latest research efforts and opens new possible research paths for further novel developments.

High Performance IOS Apps

High Performance IOS Apps
Author: Gaurav Vaish
Publisher: "O'Reilly Media, Inc."
Total Pages: 464
Release: 2016-06-16
Genre: Computers
ISBN: 1491911158

Now that more people spend more time interacting with mobile apps than with their desktop counterparts, you need to think about your iOS app's performance the moment you write your first line of code. This practical hands-on guide shows you how. Through specific and concise tips for designing and optimizing your apps, author Gaurav Vaish provides solutions to many common performance scenarios, including reusable code that you can put to work right away.

Microarray Image and Data Analysis

Microarray Image and Data Analysis
Author: Luis Rueda
Publisher: CRC Press
Total Pages: 516
Release: 2018-09-03
Genre: Science
ISBN: 1466586877

Microarray Image and Data Analysis: Theory and Practice is a compilation of the latest and greatest microarray image and data analysis methods from the multidisciplinary international research community. Delivering a detailed discussion of the biological aspects and applications of microarrays, the book: Describes the key stages of image processing, gridding, segmentation, compression, quantification, and normalization Features cutting-edge approaches to clustering, biclustering, and the reconstruction of regulatory networks Covers different types of microarrays such as DNA, protein, tissue, and low- and high-density oligonucleotide arrays Examines the current state of various microarray technologies, including their availability and affordability Explains how data generated by microarray experiments are analyzed to obtain meaningful biological conclusions An essential reference for academia and industry, Microarray Image and Data Analysis: Theory and Practice provides readers with valuable tools and techniques that extend to a wide range of biological studies and microarray platforms.

Image Segmentation

Image Segmentation
Author: Tao Lei
Publisher: John Wiley & Sons
Total Pages: 340
Release: 2022-09-26
Genre: Technology & Engineering
ISBN: 1119859034

Image Segmentation Summarizes and improves new theory, methods, and applications of current image segmentation approaches, written by leaders in the field The process of image segmentation divides an image into different regions based on the characteristics of pixels, resulting in a simplified image that can be more efficiently analyzed. Image segmentation has wide applications in numerous fields ranging from industry detection and bio-medicine to intelligent transportation and architecture. Image Segmentation: Principles, Techniques, and Applications is an up-to-date collection of recent techniques and methods devoted to the field of computer vision. Covering fundamental concepts, new theories and approaches, and a variety of practical applications including medical imaging, remote sensing, fuzzy clustering, and watershed transform. In-depth chapters present innovative methods developed by the authors—such as convolutional neural networks, graph convolutional networks, deformable convolution, and model compression—to assist graduate students and researchers apply and improve image segmentation in their work. Describes basic principles of image segmentation and related mathematical methods such as clustering, neural networks, and mathematical morphology. Introduces new methods for achieving rapid and accurate image segmentation based on classic image processing and machine learning theory. Presents techniques for improved convolutional neural networks for scene segmentation, object recognition, and change detection, etc. Highlights the effect of image segmentation in various application scenarios such as traffic image analysis, medical image analysis, remote sensing applications, and material analysis, etc. Image Segmentation: Principles, Techniques, and Applications is an essential resource for undergraduate and graduate courses such as image and video processing, computer vision, and digital signal processing, as well as researchers working in computer vision and image analysis looking to improve their techniques and methods.