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Frauds, myths, and mysteries : science and pseudoscience in archaeology
\"A humorous yet informative and scientific text that helps students to critically debunk archaeological myths and understand how we know what we know\"-- Provided by publisher.
Book
A real van gogh
Vincent van Gogh’s paintings and drawings are fabulously expensive. Millions of people admire his work, but are those masterpieces all genuine? To this day, the international art world struggles to separate the real Van Goghs from the fake ones, and the key question addressed in this book is what may happen to art experts when they publicly voice their opinions on a particular Van Gogh (or not). The story starts with art expert J.B. de la Faille who discovered to his own bewilderment that he had included dozens of fake Van Goghs in his 1928 catalogue raisonné. He wanted to set the record straight, but met with strong resistance from art dealers, collectors, critics, politicians and others, marking the beginning of a fierce clash of interests that had seized the art world for many decades of the twentieth century.
eBook
Strange bodies : a novel
A dizzying novel of deception and metempsychosis by the author of the National Book Award finalist Far North Whatever this is, it started when Nicholas Slopen came back from the dead. In a locked ward of a notorious psychiatric hospital sits a man who insists that he is Dr. Nicholas Slopen, failed husband and impoverished Samuel Johnson scholar. Slopen has been dead for months. Yet nothing can make this man change his story. What begins as a tale of apparent forgery, involving unseen letters by the great Dr. Johnson, grows to encompass a conspiracy between a Silicon Valley mogul and his Russian allies to exploit the darkest secret of Soviet technology: the Malevin Procedure. With echoes of both Jorge Luis Borges and Philip K. Dick, Marcel Theroux's Strange Bodies takes the reader on a dizzying speculative journey that poses questions about identity, authenticity, and what it means to be truly human.
Book
Italian Forgers
Italian Forgers takes an unorthodox approach to the fascinating topic of art forgery, focusing not on art forgery per se, but on the major forgery scandals that shifted the Italian art market in response to constant, and often intense, demand for Italian objects. By focusing on power dynamics that both precipitated forgery scandals and forged Italian cultural identities, this book connects the debates and discussions about three well-known Italian forgers—Giovanni Bastianini, Icilio Joni, and Alceo Dossena—to anchor and investigate the mechanics of the Italian art market from unification through the fascist era.
Carol Helstosky examines foreign accounts of transactions and Italian writings about the art market. The actions and words of Italian dealers illustrate how the Italian art and antiquities market was an undeniably modern industry, on par with tourism in terms of its contribution to the Italian economy and to understandings of Italian identity. These accounts also reveal how dealers, artists, go-betweens, guides, and restorers worked to not only meet the intense demand for Italian products but also to develop highly sophisticated business practices to maintain financial stability and respond to shifts in demand consciously (but not always conscientiously).
Italian Forgers weaves a compelling narrative about the history of Italian identity, forgery, and the value of the past. As a result, Helstosky brings historical perspective to the study of art forgery and art fraud. She reveals how historical circumstances and structural imbalances of cultural power shaped the market for art and antiquities and amplified incidents of art deception and forgery scandals.
eBook
Copy-Move Forgery Verification in Images Using Local Feature Extractors and Optimized Classifiers
Passive image forgery detection methods that identify forgeries without prior knowledge have become a key research focus. In copy-move forgery, the assailant intends to hide a portion of an image by pasting other portions of the same image. The detection of such manipulations in images has great demand in legal evidence, forensic investigation, and many other fields. The paper aims to present copy-move forgery detection algorithms with the help of advanced feature descriptors, such as local ternary pattern, local phase quantization, local Gabor binary pattern histogram sequence, Weber local descriptor, and local monotonic pattern, and classifiers such as optimized support vector machine and optimized NBC. The proposed algorithms can classify an image efficiently as either copy-move forged or authenticated, even if the test image is subjected to attacks such as JPEG compression, scaling, rotation, and brightness variation. CoMoFoD, CASIA, and MICC datasets and a combination of CoMoFoD and CASIA datasets images are used to quantify the performance of the proposed algorithms. The proposed algorithms are more efficient than state-of-the-art algorithms even though the suspected image is post-processed.
Journal Article