In the past decade, the way image based media is created, disseminated, and shared has changed exponentially, as digital imaging technology has replaced traditional film based media. Digital images have become the pervasive photographic medium of choice for the general public. Most libraries, archives, museums, and galleries have undertaken some type of digitisation program: converting their holdings into two dimensional digital images which are available for the general user via the Internet. This raises issues for those aiming to facilitate the creation and preservation of digital images whilst supplying and improving user access to image based material. Digital Images for the Information Professional provides an overview of the place of images in the changing information environment, and the use, function, and appropriation of digital images in both institutional and personal settings. Covering the history, technical underpinnings, sustainability, application, and management of digital images, the text is an accessible guide to both established and developing imaging technologies, providing those within the information sector with essential background knowledge of this increasingly ubiquitous medium.

This textbook builds knowledge progressively and sympathetically, from first principles to advanced topics. The authors explain how to take a project from the specification stage to completion, and offer guidance on choice of approach, techniques, hardware and software. Key ideas are presented in a readily understandable form through the use of diagrams and summary boxes, and the text is brought to life through the use of case studies. An ideal handbook for the undergraduate, postgraduate and professional historian embarking on a dissertation or historical research.

Historical Information Science is an extensive review and bibliographic essay, backed by almost 6,000 citations, detailing developments in information technology since the advent of personal computers and the convergence of several social science and humanities disciplines in historical computing. Its focus is on the access, preservation, and analysis of historical information (primarily in electronic form) and the relationships between new methodology and instructional media, techniques, and research trends in library special collections, digital libraries, data archives, and museums.

This cutting-edge and comprehensive introduction to digital humanities explains the scope of the discipline and state of the art and provides a wide-ranging insight into emerging topics and avenues of research. Each chapter interweaves the expert commentary of leading academics with analysis of current research and practice, exploring the possibilities and challenges that occur when culture and digital technologies intersect. International case studies of projects ranging from crowdsourced manuscript transcription to computational reconstruction of frescoes are included in each chapter, providing a wealth of information and inspiration. QR codes within each chapter link to a dedicated website where additional content, such as further case studies, is located. Key topics covered include: • studying users and readers • social media and crowdsourcing • digitization and digital resources • image processing in the digital humanities • 3D recording and museums • electronic text and text encoding • book history, texts and digital editing • open access and online teaching of digital humanities • institutional models for digital humanities. Readership: This is an essential practical guide for academics, researchers, librarians and professionals involved in the digital humanities. It will also be core reading for all humanities students and those taking courses in the digital humanities in particular.

This book examines various views and perspectives on digitisation. Topics covered include electronic theses, search engine technology, digitisation in Africa, citation indexing, reference services, the Scholarly Publishing and Academic Resources Coalition, new media and scholarly publishing. The final chapter explores virtual libraries, and poses some interesting questions for possible futures. The book will be of particular interest to information professionals, educators, librarians, academics and I.T. and knowledge experts.

This book describes the fundamental building-block of many new computer vision systems: dense and robust correspondence estimation. Dense correspondence estimation techniques are now successfully being used to solve a wide range of computer vision problems, very different from the traditional applications such techniques were originally developed to solve. This book introduces the techniques used for establishing correspondences between challenging image pairs, the novel features used to make these techniques robust, and the many problems dense correspondences are now being used to solve. The book provides information to anyone attempting to utilize dense correspondences in order to solve new or existing computer vision problems. The editors describe how to solve many computer vision problems by using dense correspondence estimation. Finally, it surveys resources, code and data, necessary for expediting the development of effective correspondence-based computer vision systems.