Image-based humanities computing is an established practice located at the intersection of a set of intellectual convictions regarding knowledge representation on the one hand, and the dramatically accelerating pace of technical research in digital imaging technologies on the other. In the broadest sense, it brings advanced visual and visualization tools to bear on the objects and artifacts of cultural heritage. More specifically, at least within the literary studies community, image-based humanities computing may be said to descend from the so-called social or materialist theories of textual production advanced by such scholars as D.F. McKenzie and Jerome McGann in the early eighties, coupled with the means to create (relatively) highquality and (relatively) low-cost digital facsimiles of documents; and the practical means to disseminate those facsimiles through various electronic media. Generally speaking, materialist theories of text privilege the physical primacy of the manuscript, document, or codex, lending semantic weight to paper, cover, binding, typeface, page layout, illustrations, marginalia, and other extra-linguistic features of the "text itself." McKenzie's Bibliography and the Sociology of Texts and McGann's Critique of Modern Textual Criticism and The Textual Condition are among the works that provide the theoretical foundations for such an approach; Kevin Kiernan's Beowulf and the Beowulf Manuscript and Joseph Viscomi's Blake and the Idea of the Book are both exemplary materialist studies devoted to a single work or author.1 Since the early nineties, a number of ambitious humanities computing projects, some of them under the direction of these same figures in the literary studies community, have begun to build editions, collections, or selfidentified "archives" that place digital images at the functional center of their interface (and database). In several cases, this work has lead to important new image acquisition and display techniques, and it has sometimes even formed the basis for publishable computer science research. Moreover, more recent projects are now in a position to benefit from these early advances. This special issue of Computers and the Humanities has been prepared at a time when a majority of first generation image-based humanities computing projects have reached at least an initial plateau of completion, in the form of a substantial body of published and/or publicly accessible material.2
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