In Potential Images Dario Gamboni explores ambiguity in modern art, considering images that rely to a great degree on a projected or imaginative response from viewers to achieve their effect. Ambiguity became increasingly important in late 19th- and early 20th-century aesthetics, as is evidenced in works by such artists as Redon, Cezanne, Gauguin, Ensor and the Nabis. Similarly, the Cubists subverted traditional representational conventions, requiring their viewers to decipher images to extract their full meanings. The same device was taken up in the various experiments leading to abstraction. For example, it was Kandinsky's intention that his work could be interpreted in both figurative and non-figurative ways, and Duchamp's Readymades suggested the radical conclusion that 'it is the beholder who makes the picture'. These invitations to viewers to participate in the process of artistic communication had social and political implications, as they accorded artist and beholder symmetrical, almost interchangeable, roles.

A collection of classic and contemporary articles demonstrating the development of historical archaeology over the past 20 years, both in North America and throughout the world. Contains sections on recent perspectives, people and places, historic artifacts, interdisciplinary studies, landscape studies, and international historical archaeology. For use in historical archaeology classes. No index. Annotation copyrighted by Book News, Inc., Portland, OR

This book focuses on the methodologies, organization, and communication of digital image collection research that utilizes social media content. ("Image" is here understood as a cultural, conventional, and commercial—stock photo—representation.) The lecture offers expert views that provide different interpretations of images and their potential implementations. Linguistic and semiotic methodologies as well as eye-tracking research are employed to both analyze images and comprehend how humans consider them, including which salient features generally attract viewers' attention. This literature review covers image—specifically photographic—research since 2005, when major social media platforms emerged. A citation analysis includes an overview of co-citation maps that demonstrate the nexus of image research literature and the journals in which they appear. Eye tracking tests whether scholarly templates focus on the proper features of an image, such as people, objects, time, etc., and if a prescribed theme affects the eye movements of the observer. The results may point to renewed requirements for building image search engines. As it stands, image management already requires new algorithms and a new understanding that involves text recognition and very large database processing. The aim of this book is to present different image research areas and demonstrate the challenges image research faces. The book's scope is, by necessity, far from comprehensive, since the field of digital image research does not cover fake news, image manipulation, mobile photos, etc.; these issues are very complex and need a publication of their own. This book should primarily be useful for students in library and information science, psychology, and computer science.

Power up your Python with object-oriented programming and learn how to write powerful, efficient, and re-usable code. Object-Oriented Python is an intuitive and thorough guide to mastering object-oriented programming from the ground up. You’ll cover the basics of building classes and creating objects, and put theory into practice using the pygame package with clear examples that help visualize the object-oriented style. You’ll explore the key concepts of object-oriented programming — encapsulation, polymorphism, and inheritance — and learn not just how to code with objects, but the absolute best practices for doing so. Finally, you’ll bring it all together by building a complex video game, complete with full animations and sounds. The book covers two fully functional Python code packages that will speed up development of graphical user interface (GUI) programs in Python.