Foundation of Computational Visualistics

by Jïrg R. J. Schirra

Overview

Jörg R. J. Schirra investigates the data structure "image", its components, and its application conditions, and elaborates the very foundations of computational visualistics as a unique and homogeneous field of research. He also closely examines the theory of pictures in general and the definition of pictures as perceptoid signs in particular.

Product Details

ISBN-13:	9783835060159
Publisher:	Deutscher Universit�tsverlag
Publication date:	11/25/2005
Series:	Bildwissenschaft , #14
Edition description:	2005
Pages:	294
Product dimensions:	5.83(w) x 8.27(h) x 0.03(d)

About the Author

PD Dr. Jörg R. J. Schirra studierte Informatik, Physik, Philosophie und Psychologie an der Universität des Saarlandes. Nach einem längeren Forschungsaufenthalt in Berkeley habilitierte er sich an der Fakultät für Informatik der Universität Magdeburg.

Table of Contents

Table of Content.- 1 Images in Computer Science: Clarifications Required.- 1.1 The Age of the Images.- 1.2 Toward Information Society.- 1.3 Images and Computers: The Digital Picture.- 1.4 Requirements for a Modem Computer Scientist.- 1.5 Determining the Goal.- 2 Computational Visualistics: Seen from its Roots.- 2.1 Computer Science: Subject and Methodology.- 2.2 Visualistics and the Many Sciences of Pictures / Images.- 2.3 Computational Visualistics and the Data Type »Image«.- 3 Preliminary Clarifications from Visualistics.- 3.1 Pictures on the Border: Overlooking a Wide Kingdom.- 3.2 A Synthetic Proposal: Images as “Perceptoid” Signs.- 3.2.1 »Sign« as Genus Proximum for Pictures.- 3.2.2 »Perceptoid« as Differentia Specifica for Pictorial Signs.- 3.2.3 A Note on “NaturalImages”, “Indices”, and “Icons”.- 3.3 Image and Object.- 3.3.1 The Naïve Approach to Resemblance.- 3.3.2 The Act-Theoretic Basis of the Concept »Resemblance«.- 3.3.3 Perception, Deception, and Primary Object Constitution.- 3.4 Image and Language.- 3.4.1 Assertions, Identity, and Contexts.- 3.4.2 Communication Among Pre-Object Creatures.- 3.4.3 Context Builders and Referential Anchoring.- 3.4.4 Secondary Object Constitution: Sortal Concepts & Geometry.- 3.4.5 Pictures as Context Builders: Resemblance Once More.- 3.5 Image and Image User.- 3.5.1 Reflection Modes of Dealing with Pictures.- 3.5.2 The Game of Picture Making.- 3.5.3 Who Is Communicating with Whom?.- 3.5.4 Indirect Resemblances & Rhetoric Derivations.- 3.5.5 Reflective Communication & Pictures of Art.- 3.6 Conclusions for Computational Visualistics.- 4 The Generic Data Type »Image«: General Aspects.- 4.1 The Organizational Principle of the Discussion.- 4.2 Syntactic Aspects.- 4.2.1 Pictorial Resolution and the Identity of Images.- 4.2.1.1 Density, Continuity, and Decidability.- 4.2.1.2 Syntactic Types of Pictures in Computers.- 4.2.2 Remarks on Compositionality.- 4.2.2.1 Composition of One Picture: Pictorial “Morphology”.- 4.2.2.2 Compositions With Pictures: Pictorial “Text Grammars”.- 4.2.3 Some Notes on Formalizing Color.- 4.2.4 Syntactic Transformations and Image Processing.- 4.2.5 The Limitations of Pictorial Syntax.- 4.3 Semantic Aspects.- 4.3.1 Computer Graphics, Spatial Objects, and Perspective.- 4.3.1.1 Sortal Objects and Geometric Models.- 4.3.1.2 Excursion into the Theory of Rational Argumentation.- 4.3.1.3 Reasoning with Spatial Objects.- 4.3.1.4 A Perspective on Perspectives.- 4.3.2 Two Levels of Computer Vision: An Example.- 4.3.2.1 Constructing Visual Gestalts - Or Finding Pixemes.- 4.3.2.2 Instantiating Object Schemata.- 4.3.2.3 Determining Configurations.- 4.3.2.4 Computer Vision and “Picture Understanding”.- 4.3.2.5 Reference Semantics and Pictorial Reference.- 4.3.3 Embedding Semantics in Pragmatics.- 4.4 Pragmatic Aspects.- 4.4.1 Interactive Systems as a New Type of Media.- 4.4.1.1 Media of Class IV.- 4.4.1.2 The Selection Problems: Content.- 4.4.1.3 The Selection Problems: Form.- 4.4.1.4 Combined Selection Problems for Choosing a Picture.- 4.4.2 Anticipating the Unknown Beholders.- 4.4.2.1 Remarks on the Purposes of Picture Uses.- 4.4.2.2 User Modeling for Pictures.- 4.4.2.3 Adaptation to the Pragmatics of Context-Building.- 4.4.3 Authenticity and Media of Class IV.- 4.4.3.1 Beholder Models and Authenticity.- 4.4.3.2 Authenticity as a Technical Problem: Syntactic Approaches.- 4.4.4 Information Visualization and the Rhetorics of Structural Pictures.- 4.4.4.1 On Source Domains and Target Domains.- 4.4.4.2 Finding Appropriate Visualization Parameters: An Overview.- 4.4.4.3 Interactive Visualizations.- 4.4.5 Remarks on the Pragmatics of Computer Art.- 4.4.5.1 Reflective Pictures and the Reflective Mode of Reception.- 4.4.5.2 Computer Art - Art with the Computer.- 4.4.5.3 Interactivity in Computer Art.- 5 Case Studies: Using the Data Type »Image«.- 5.1 Semantic Requests to Image Databases in IRIS.- 5.1.1 Image Retrieval for Information Systems.- 5.1.2 Results and Queries.- 5.2 Rhetorically Enriched Pictures.- 5.2.1 Descibing Style Parameters.- 5.2.2 The Heuristics of Predicative Naturalism.- 5.2.3 Example Application of the Heuristics.- 5.3 A Border Line Case: Immersion.- 5.3.1 Virtual Architectur: The Atmosphere Projekt.- 5.3.2 Types of Use of Virtual Architecture.- 5.3.3 The Virtual Institute of Image Science.- 5.3.4 Conclusions.- 5.4 Another Border Line Case: Mental Images.- 5.4.1 An Example Task: Understanding Reports From Absent Spatial Events.- 5.4.2 On the Cognitive Function of Mental Images.- 5.4.3 Building a Computer Model.- 5.4.4 Conclusions: The Data Type »Image« and Explaining Mental Images.- 6 Conclusions - Perspectives.- 6.1 The Foundation of Computational Visualistics.- 6.2 The Components of the Data Structure »Image«.- 6.3 The Future of an Institutional Computational Visualistics.- Appendices.- A Notes.- B References.- C List of Figures.- D List of Table.- E Name Index.- F Subject Index.

Preface

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