Picturing The Language Of Images

Picturing the Language of Images

Picturing the Language of Images is a collection of thirty-three previously unpublished essays that explore the complex and ever-evolving interaction between the verbal and the visual. The uniqueness of this volume lies in its bringing together scholars from around the world to provide a broad synchronic and diachronic exploration of the relationship between text and image, as well as a reflection on the limits of representation through a re-thinking of the very acts of reading and viewing. While covering a variety of media—such as literature, painting, photography, film and comics—across time—from the 18th century to the 21st century—this collection also provides a special focus on the work of particular authors, such as A. S. Byatt, W. G. Sebald, and Art Spiegelman.

Picture Languages

Computer Science and Applied Mathematics: Picture Languages: Formal Models for Picture Recognition treats pictorial pattern recognition from the formal standpoint of automata theory. This book emphasizes the capabilities and relative efficiencies of two types of automata—array automata and cellular array automata, with respect to various array recognition tasks. The array automata are simple processors that perform sequences of operations on arrays, while the cellular array automata are arrays of processors that operate on pictures in a highly parallel fashion, one processor per picture element. This compilation also reviews a collection of results on two-dimensional sequential and parallel array acceptors. Some of the analogous one-dimensional results and array grammars and their relation to acceptors are likewise covered in this text. This publication is suitable for researchers, professionals, and specialists interested in pattern recognition and automata theory.

Library of Congress Subject Headings