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.

William Taylor explores the use of local and regional shrines, and devotion to images of Christ and Mary, including Our Lady of Guadalupe, to get to the heart of the politics and practices of faith in Mexico before the Reforma.

The book examines the process of symbolic and material alteration of religious images in antiquity, the middle ages and the modern period. The process by which the form and meaning of images are modified and adapted for a new context is defined by a large number of spiritual, religious, artistic, geographical or historical circumstances. This book provides a defined theoretical framework for these symbolic and material alterations based on the concept of iconotropy; that is, the way in which images change and/or alter their meaning. Iconotropy is a key concept in religious history, particularly for periods in which religious changes, often turbulent, took place. In addition, the iconotropic process of appropriating cult images brought with it changes in the materiality of those images. Numerous accounts from antiquity, the middle ages and the modern period detail how cult images were involved in such processes of misinterpretation, both symbolically and materially. The book will be of interest to scholars working in art history, visual culture and religious history.

In this volume Donald Munro, author of important studies on early and contemporary China, provides a critical analysis of the doctrines of the Sung Neo-Confucian philosopher Chu Hsi (1130-1200). For nearly six centuries Confucian orthodoxy was based on Chu Hsi's commentaries on Confucian classics. These commentaries were the core of the curriculum studied by candidates for the civil service in China until 1905 and provided guidelines both for personal behavior and for official policy. Munro finds the key to the complexities of Chu Hsi's thought in his mode of discourse: the structural images of family, stream of water, mirror, body, plant, and ruler. Furthermore, he discloses the basic framework of Chu Hsi's ethics and the theory of human nature that is provided by these illustrative images. As revealed by Munro, Chu Hsi's thought is polarized between family duty and a broader altruism and between obedience to external authority and self-discovery of moral truth. To understand these tensions moves us toward clarifying the meaning of each idea in the sets. The interplay of these ideas, selectively emphasized over time by later Confucians, is a background for explaining modern Chinese thought. In it, among other things, Confucianism and Marxism-Leninism co-exist. Originally published in 1988. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.

Defining the Others, “them”, in relation to one’s own reference group, “us”, has been an essential phase in the formation of collective identities in any given country or region. In the case of Russia, the formulation of these binary definitions – sometimes taking a form of enemy images – can be traced all the way to medieval texts, in which religion represented the dividing line. Further, the ongoing expansion of the empire transferred numerous “external others” into internal minorities. The chapters of this edited volume examine the development and contexts of various images, perceptions and categories of the Others in Russia from the 16th century Muscovy to the collapse of the Russian empire.

This volume documents the results and presentations relating to the use of wavelet theory and other methods in surface fitting and image reconstruction of the Second International Conference on Curves and Surfaces, held in Chamonix in 1993. The papers represent directions for future research and development in many areas of application.

In archaic and classical Greece, statues played a constant role in people's religious, political, economic, aesthetic, and mental lives. Evidence of many kinds demonstrates that ancient Greeks thought about--and interacted with--statues in ways very different from our own. This book recovers ancient thinking about statues by approaching them through contemporary literary sources. It not only shows that ancient viewers conceived of images as more operative than aesthetic, but additionally reveals how poets and philosophers found in sculpture a practice ''good to think with.'' Deborah Tarn Steiner considers how Greek authors used images to ponder the relation of a copy to an original and of external appearance to inner reality. For these writers, a sculpture could straddle life and death, encode desire, or occasion reflection on their own act of producing a text. Many of the same sources also reveal how thinking about statues was reflected in the objects' everyday treatment. Viewing representations of gods and heroes as vessels hosting a living force, worshippers ritually washed, clothed, and fed them in order to elicit the numinous presence within. By reading the plastic and verbal sources together, this book offers new insights into classical texts while illuminating the practices surrounding the design, manufacture, and deployment of ancient images. Its argument that images are properly objects of cultural and social--rather than purely aesthetic--study will attract art historians, cultural historians, and anthropologists, as well as classicists.

On-board image processing systems are used to maximize image data transmission efficiency for large volumes of data gathered by Earth observation satellites. This book explains the methods, mathematical models, and key technologies used for these systems. It introduces the background, basic concepts, and the architecture of on-board image processing, along with on-board detection of the image feature and matching, ground control point identification, on-board geometric correction, calibration, geographic registration, etc. • Describes algorithms and methodologies for on-board image processing with FPGA chips. • Migrates the traditional on-ground computing to on-board operation and the image processing is implemented on-board, not on-ground. • Introduces for the first time many key technologies and methods for on-board image processing. • Emphasizes the recent progress in image processing by using on-board FPGA chips. • Includes case studies from the author’s extensive research and experience on the topic. This book gives insights into emerging technologies for on-board processing and will benefit senior undergraduate and graduate students of remote sensing, information technology, computer science and engineering, electronic engineering, and geography, as well as researchers and professionals interested in satellite remote sensing image processing in academia, and governmental and commercial sectors.

Mutual Perceptions and Images in Japanese-German Relations, 1860–2010 examines the mutual images formed between Japan and Germany from the mid-nineteenth to twenty-first centuries, and the influence of these images on the development of bilateral relations. Unlike earlier research on Japanese-German relations, which focused on the similarity of these countries’ historical trajectories, this publication presents a more nuanced picture. It relativizes perceptions of a special “spiritual relationship” between Japan and Germany as well as their commonalities of “national character” through an exploration of previously untapped historical visual and textual sources. With essays by sixteen leading scholars in the field, this collection is an invaluable contribution to the historiography of modern Japan and Germany, and to the field of international relations. Contributors are: Hans-Joachim Bieber, Fukuoka Mariko, Hakoishi Hiroshi, Iwasa Takurō, Katō Yōko, Kawakita Atsuko, Gerhard Krebs, Kudō Akira, Heinrich Menkhaus, Danny Orbach, Peter Pantzer, Sven Saaler, Satō Takumi, Volker Stanzel, Suzuki Naoko, Tajima Nobuo, Tano Daisuke, and Rolf-Harald Wippich.

Several recent papers underline methodological points that limit the validity of published results in imaging studies in the life sciences and especially the neurosciences (Carp, 2012; Ingre, 2012; Button et al., 2013; Ioannidis, 2014). At least three main points are identified that lead to biased conclusions in research findings: endemic low statistical power and, selective outcome and selective analysis reporting. Because of this, and in view of the lack of replication studies, false discoveries or solutions persist. To overcome the poor reliability of research findings, several actions should be promoted including conducting large cohort studies, data sharing and data reanalysis. The construction of large-scale online databases should be facilitated, as they may contribute to the definition of a “collective mind” (Fox et al., 2014) facilitating open collaborative work or “crowd science” (Franzoni and Sauermann, 2014). Although technology alone cannot change scientists’ practices (Wicherts et al., 2011; Wallis et al., 2013, Poldrack and Gorgolewski 2014; Roche et al. 2014), technical solutions should be identified which support a more “open science” approach. Also, the analysis of the data plays an important role. For the analysis of large datasets, image processing pipelines should be constructed based on the best algorithms available and their performance should be objectively compared to diffuse the more relevant solutions. Also, provenance of processed data should be ensured (MacKenzie-Graham et al., 2008). In population imaging this would mean providing effective tools for data sharing and analysis without increasing the burden on researchers. This subject is the main objective of this research topic (RT), cross-listed between the specialty section “Computer Image Analysis” of Frontiers in ICT and Frontiers in Neuroinformatics. Firstly, it gathers works on innovative solutions for the management of large imaging datasets possibly distributed in various centers. The paper of Danso et al. describes their experience with the integration of neuroimaging data coming from several stroke imaging research projects. They detail how the initial NeuroGrid core metadata schema was gradually extended for capturing all information required for future metaanalysis while ensuring semantic interoperability for future integration with other biomedical ontologies. With a similar preoccupation of interoperability, Shanoir relies on the OntoNeuroLog ontology (Temal et al., 2008; Gibaud et al., 2011; Batrancourt et al., 2015), a semantic model that formally described entities and relations in medical imaging, neuropsychological and behavioral assessment domains. The mechanism of “Study Card” allows to seamlessly populate metadata aligned with the ontology, avoiding fastidious manual entrance and the automatic control of the conformity of imported data with a predefined study protocol. The ambitious objective with the BIOMIST platform is to provide an environment managing the entire cycle of neuroimaging data from acquisition to analysis ensuring full provenance information of any derived data. Interestingly, it is conceived based on the product lifecycle management approach used in industry for managing products (here neuroimaging data) from inception to manufacturing. Shanoir and BIOMIST share in part the same OntoNeuroLog ontology facilitating their interoperability. ArchiMed is a data management system locally integrated for 5 years in a clinical environment. Not restricted to Neuroimaging, ArchiMed deals with multi-modal and multi-organs imaging data with specific considerations for data long-term conservation and confidentiality in accordance with the French legislation. Shanoir and ArchiMed are integrated into FLI-IAM1, the national French IT infrastructure for in vivo imaging.