Cinema and Machine Vision unfolds the aesthetic, epistemic, and ideological dimensions of machine-seeing films and television using computers. With its critical-technical approach, this book presents to the reader key new problems that arise as AI becomes integral to visual culture. It theorises machine through a selection of aesthetics, film theory, and applied machine learning research, dispelling widely held assumptions about computer systems designed to watch and make images on our behalf.At its heart, Cinema and Machine Vision is an invitation for film and media scholars to critically engage with AI at a technical level, a prompt for scientists and engineers working with images and cultural data to critically reflect on where their assumptions about vision come from, and a joint recognition of the fruitful problems of working together to understand the algorithmic governance of the visual.

Vertov, Snow, Farocki: Machine Vision and the Posthuman begins with a comprehensive and original anthropological analysis of Vertov's film The Man With a Movie Camera. Tomas then explores the film's various aspects and contributions to media history and practice through detailed discussions of selected case studies. The first concerns the way Snow's La Région Centrale and De La extend and/or develops important theoretical and technical aspects of Vertov's original film, in particular those aspects that have made the film so important in the history of cinema. The linkage between Vertov's film and the works discussed in the case studies will also serve to illustrate the historical and theoretical significance of a comparative approach of this kind, and illustrate the pertinence of adopting a 'relational approach' to the history of media and its contemporary practice, an approach that is no longer focused exclusively on the technical question of the new in contemporary media practices but, in contrast, situates a work and measures its originality in historical, intermedia, and ultimately political terms.

Humans have used technology to expand our limited vision for millennia, from the invention of the stone mirror 8,000 years ago to the latest developments in facial recognition and augmented reality. We imagine that technologies will allow us to see more, to see differently and even to see everything. But each of these new ways of seeing carries its own blind spots. In this illuminating book, Jill Walker Rettberg examines the long history of machine vision. Providing an overview of the historical and contemporary uses of machine vision, she unpacks how technologies such as smart surveillance cameras and TikTok filters are changing the way we see the world and one another. By analysing fictional and real-world examples, including art, video games and science fiction, the book shows how machine vision can have very different cultural impacts, fostering both sympathy and community as well as anxiety and fear. Combining ethnographic and critical media studies approaches alongside personal reflections, Machine Vision is an engaging and eye-opening read. It is suitable for students and scholars of digital media studies, science and technology studies, visual studies, digital art and science fiction, as well as for general readers interested in the impact of new technologies on society.

"Since the early 1980s, American artist and filmmaker Peggy Ahwesh has forged a distinctive moving image practice in the ruins of originality and authority ... Peggy Ahwesh: Vision Machines explores how she has extended and contested the paradigm of experimental cinema over the last four decades."--Page 4 of cover.

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The following are the proceedings of the Third International Workshop on Perception held in Pavia, Italy, on September 27-30, 1993, under the auspices of four institutions: the Group of Cybernetic and Biophysics (GNCB)s of the National Research Council (CNR), the Italian Association for Artificial Intelligence (AI * IA), the Italian Association of Psychology (AlP), and the Italian Chapter of the International Association for Pattern Recognition (IAPR). The theme of this third workshop was: "Human and Machine Vision: Analogies and Divergencies." A wide spectrum of topics was covered, ranging from neurophysiology, to computer architecture, to psychology, to image understanding, etc. For this reason the structure of this workshop was quite different from those of the first two held in Parma (1991), and Trieste (1992). This time the workshop was composed of just eight modules, each one consisting of two invited lectures (dealing with vision in nature and machines, respectively) and a common panel discussion (including the two lecturers and three invited panellists).

The five-volume set LNCS 10111-10115 constitutes the thoroughly refereed post-conference proceedings of the 13th Asian Conference on Computer Vision, ACCV 2016, held in Taipei, Taiwan, in November 2016. The total of 143 contributions presented in these volumes was carefully reviewed and selected from 479 submissions. The papers are organized in topical sections on Segmentation and Classification; Segmentation and Semantic Segmentation; Dictionary Learning, Retrieval, and Clustering; Deep Learning; People Tracking and Action Recognition; People and Actions; Faces; Computational Photography; Face and Gestures; Image Alignment; Computational Photography and Image Processing; Language and Video; 3D Computer Vision; Image Attributes, Language, and Recognition; Video Understanding; and 3D Vision.

Despite changes in the media landscape, film remains a vital force in contemporary culture, as do our ideas of what "a movie" or "the cinematic" are. Indeed, we might say that the category of film now only exists in theory. Whereas film-theoretical discussion at the turn of the 21st century was preoccupied, understandably, by digital technology's permeation of virtually all aspects of the film object, this volume moves the conversation away from a focus on film's materiality towards timely questions concerning the ethics, politics, and even aesthetics of thinking about the medium of cinema. To put it another way, this collection narrows in on the subject of film, not with a nostalgic sensibility, but with the recognition that what constitutes a film is historically contingent, in dialogue with the vicissitudes of entertainment, art, and empire. The volume is divided into six sections: Meta-Theory; Film Theory's Project of Emancipation; Apparatus and Perception; Audiovisuality; How Close is Close Reading?; and The Turn to Experience.

Cinema and Machine Vision unfolds the aesthetic, epistemic, and ideological dimensions of machine-seeing films and television using computers. With its critical-technical approach, this book presents to the reader key new problems that arise as AI becomes integral to visual culture. It theorises machine through a selection of aesthetics, film theory, and applied machine learning research, dispelling widely held assumptions about computer systems designed to watch and make images on our behalf.At its heart, Cinema and Machine Vision is an invitation for film and media scholars to critically engage with AI at a technical level, a prompt for scientists and engineers working with images and cultural data to critically reflect on where their assumptions about vision come from, and a joint recognition of the fruitful problems of working together to understand the algorithmic governance of the visual.