The Structure of Complex Images
The Structure of Complex Images

Author: Robert B. Ray

Publisher: Springer Nature

Published: 2020-05-09

Total Pages: 259

ISBN-13: 3030406318

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After over a century of existence, the cinema still has its mysteries. Why, for example, is the job we call movie stardom unlike any other in the world? How do films provide so much unconcealed information that we fail to notice? What makes it hard to define what counts as “acting”? How do movies like Casablanca and Breathless store the film and world histories of their generations? How can we reconcile auteurism’s celebration of the movie director’s authority with the camera’s automatism? Why have the last four decades of film criticism so often neglected such questions? After beginning with an overview of film studies, this book proposes a shift from predictable theoretical approaches to models that acknowledge the perplexities and mysteries of the movies. Deriving methods from cinephilia, Wittgenstein, Richard Rorty, Stanley Cavell, Eleanor Duckworth, V. F. Perkins, and James Naremore, Robert B. Ray offers close readings that call attention to what we have missed in such classic films as La Règle du Jeu, It Happened One Night, It’s a Wonderful Life, Vertigo, Holiday, The Philadelphia Story, Casablanca, Breathless, and Tickets.

Image Structure
Image Structure

Author: Luc Florack

Publisher: Springer Science & Business Media

Published: 2013-04-17

Total Pages: 278

ISBN-13: 9401588457

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Despite the fact that images constitute the main objects in computer vision and image analysis, there is remarkably little concern about their actual definition. In this book a complete account of image structure is proposed in terms of rigorously defined machine concepts, using basic tools from algebra, analysis, and differential geometry. Machine technicalities such as discretisation and quantisation details are de-emphasised, and robustness with respect to noise is manifest. From the foreword by Jan Koenderink: `It is my hope that the book will find a wide audience, including physicists - who still are largely unaware of the general importance and power of scale space theory, mathematicians - who will find in it a principled and formally tight exposition of a topic awaiting further development, and computer scientists - who will find here a unified and conceptually well founded framework for many apparently unrelated and largely historically motivated methods they already know and love. The book is suited for self-study and graduate courses, the carefully formulated exercises are designed to get to grips with the subject matter and prepare the reader for original research.'

The Image of the City
The Image of the City

Author: Kevin Lynch

Publisher: MIT Press

Published: 1964-06-15

Total Pages: 212

ISBN-13: 9780262620017

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The classic work on the evaluation of city form. What does the city's form actually mean to the people who live there? What can the city planner do to make the city's image more vivid and memorable to the city dweller? To answer these questions, Mr. Lynch, supported by studies of Los Angeles, Boston, and Jersey City, formulates a new criterion—imageability—and shows its potential value as a guide for the building and rebuilding of cities. The wide scope of this study leads to an original and vital method for the evaluation of city form. The architect, the planner, and certainly the city dweller will all want to read this book.

Interpretation of Complex Images, Literature Survey
Interpretation of Complex Images, Literature Survey

Author: R. H. Kause

Publisher:

Published: 1965

Total Pages: 202

ISBN-13:

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This report is a review of the literature that might aid in measuring or describing complex images as stimuli, in relating this variable to the psychophysics of target identification, and in further specifying variables that may be important determinants of target identifiability. The body of this report is in four sections: (1) abstracts of articles containing general perceptual material, especially theories of form recognition or target identification; (2) abstracts of articles concerned with the experimental manipulation of perceptual variables known to be important determiners of form recognition and target identification; (3) articles concerned with measuring, changing, or simulating image parameters in some specified manner; and (4) abstracts of articles on the special characteristics of various sensor systems that will affect the resulting images used by the operator.

Advances in Visual Computing
Advances in Visual Computing

Author: Richard Boyle

Publisher: Springer

Published: 2007-11-22

Total Pages: 851

ISBN-13: 3540768564

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The two volume set LNCS 4841 and LNCS 4842 constitutes the refereed proceedings of the Third International Symposium on Visual Computing, ISVC 2007, held in Lake Tahoe, NV, USA, in November 2007. The 77 revised full papers and 42 poster papers presented together with 32 full and five poster papers of six special tracks were carefully reviewed and selected. The papers cover the four main areas of visual computing: vision, graphics, visualization, and virtual reality.

Image Modeling
Image Modeling

Author: Azriel Rosenfeld

Publisher: Academic Press

Published: 2014-05-10

Total Pages: 460

ISBN-13: 1483275604

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Image Modeling compiles papers presented at a workshop on image modeling in Rosemont, Illinois on August 6-7, 1979. This book discusses the mosaic models for textures, image segmentation as an estimation problem, and comparative analysis of line-drawing modeling schemes. The statistical models for the image restoration problem, use of Markov random fields as models of texture, and mathematical models of graphics are also elaborated. This text likewise covers the univariate and multivariate random field models for images, stochastic image models generated by random tessellations of the plane, and long crested wave models. Other topics include the Boolean model and random sets, structural basis for image description, and structure in co-occurrence matrices for texture analysis. This publication is useful to specialists and professionals working in the field of image processing.

Handbook of Research on Intelligent Data Processing and Information Security Systems
Handbook of Research on Intelligent Data Processing and Information Security Systems

Author: Bilan, Stepan Mykolayovych

Publisher: IGI Global

Published: 2019-11-29

Total Pages: 434

ISBN-13: 1799812928

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Intelligent technologies have emerged as imperative tools in computer science and information security. However, advanced computing practices have preceded new methods of attacks on the storage and transmission of data. Developing approaches such as image processing and pattern recognition are susceptible to breaches in security. Modern protection methods for these innovative techniques require additional research. The Handbook of Research on Intelligent Data Processing and Information Security Systems provides emerging research exploring the theoretical and practical aspects of cyber protection and applications within computer science and telecommunications. Special attention is paid to data encryption, steganography, image processing, and recognition, and it targets professionals who want to improve their knowledge in order to increase strategic capabilities and organizational effectiveness. As such, this book is ideal for analysts, programmers, computer engineers, software engineers, mathematicians, data scientists, developers, IT specialists, academicians, researchers, and students within fields of information technology, information security, robotics, artificial intelligence, image processing, computer science, and telecommunications.

Image Pattern Recognition
Image Pattern Recognition

Author: V.A. Kovalevsky

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 252

ISBN-13: 1461260337

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During the last twenty years the problem of pattern recognition (specifically, image recognition) has been studied intensively by many investigators, yet it is far from being solved. The number of publications increases yearly, but all the experimental results-with the possible exception of some dealing with recognition of printed characters-report a probability of error significantly higher than that reported for the same images by humans. It is widely agreed that ideally the recognition problem could be thought of as a problem in testing statistical hypotheses. However, in most applications the immediate use of even the simplest statistical device runs head on into grave computational difficulties, which cannot be eliminated by recourse to general theory. We must accept the fact that it is impossible to build a universal machine which can learn an arbitrary classification of multidimensional signals. Therefore the solution of the recognition problem must be based on a priori postulates (concerning the sets of signals to be recognized) that will narrow the set of possible classifications, i.e., the set of decision functions. This notion can be taken as the methodological basis for the approach adopted in this book.