Text And Texture

Texture - the quality that makes a text 'hang together' as a text - is a key focus of investigation in discourse analysis. This volume provides a systematic overview of recent research on textual resources that are used to construct texture, and on the ways in which these resources are deployed differently in different text types. Theme is the major resource that is explored in the first part of the book. The opening papers set out the current understanding of Theme and explore aspects of the concept which remain controversial in the field. This is followed by an examination of thematic choices in a range of text types. Issues raised include the different kinds of meanings appearing in Theme which are particularly significant for each genre, the ways in which these relate to the broader socio-cultural context, and the ways in which thematic choices interact with other kinds of texturing. In the second part of the collection, the scope widens to include an examination of other resources, particularly the contribution to texture made by patterns of interpersonal choices, in Theme and more broadly across texts as a whole. The volume closes with an overview and illustration of a methodological approach by which our understanding of texturing can be further extended.

The Middle Ages in Texts and Texture is an introduction to medieval Europe unlike any other. These 26 essays, written by accomplished scholars all trained at the University of California, Berkeley, reflect on medieval texts and the opportunities they present for exploration of the Middle Ages. Introduced in a foreword by Thomas N. Bisson (Harvard University), these essays present a textured picture of the medieval world and offer models for how to reflect fruitfully on medieval sources. To help orient the reader, three maps, the editor's introduction, and an index are provided.

In this book Vernon K. Robbins provides an accessible introduction to socio-rhetorical criticism, illustrating the method by guiding the reader through the study of specific New Testament texts and stories. An opening chapter outlines this new approach and its focus on values, convictions, and beliefs both in the text we read and in the world in which we live. Then follow studies and exercises dealing with specific textural features: inner texture, intertexture, social and cultural texture, ideological texture, and sacred texture.

A literary exploration of the Hebrew Bible focussing on three distinct literary elements: narrative text, direct speech, and themes and motifs.

"The latest advance in cognitive poetics" (back cover of dust jacket), based on analysis of English-language literature within a wide-ranging theoretical framework.

This useful textbook/reference presents an accessible primer on the fundamentals of image texture analysis, as well as an introduction to the K-views model for extracting and classifying image textures. Divided into three parts, the book opens with a review of existing models and algorithms for image texture analysis, before delving into the details of the K-views model. The work then concludes with a discussion of popular deep learning methods for image texture analysis. Topics and features: provides self-test exercises in every chapter; describes the basics of image texture, texture features, and image texture classification and segmentation; examines a selection of widely-used methods for measuring and extracting texture features, and various algorithms for texture classification; explains the concepts of dimensionality reduction and sparse representation; discusses view-based approaches to classifying images; introduces the template for the K-views algorithm, as well as a range of variants of this algorithm; reviews several neural network models for deep machine learning, and presents a specific focus on convolutional neural networks. This introductory text on image texture analysis is ideally suitable for senior undergraduate and first-year graduate students of computer science, who will benefit from the numerous clarifying examples provided throughout the work.

This book surveys the state of the art in multidimensional, physically-correct visual texture modeling. Features: reviews the entire process of texture synthesis, including material appearance representation, measurement, analysis, compression, modeling, editing, visualization, and perceptual evaluation; explains the derivation of the most common representations of visual texture, discussing their properties, advantages, and limitations; describes a range of techniques for the measurement of visual texture, including BRDF, SVBRDF, BTF and BSSRDF; investigates the visualization of textural information, from texture mapping and mip-mapping to illumination- and view-dependent data interpolation; examines techniques for perceptual validation and analysis, covering both standard pixel-wise similarity measures and also methods of visual psychophysics; reviews the applications of visual textures, from visual scene analysis in medical applications, to high-quality visualizations in the automotive industry.