Altered Images

This book constitutes the proceedings of the Second International Conference on Pattern Recognition and Artificial Intelligence, ICPRAI 2020, which took place in Zhongshan, China, in October 2020. The 49 full and 14 short papers presented were carefully reviewed and selected for inclusion in the book. The papers were organized in topical sections as follows: handwriting and text processing; features and classifiers; deep learning; computer vision and image processing; medical imaging and applications; and forensic studies and medical diagnosis.

As the 'grey market' perpetuates the quest for eternal youth, the biological realities of deep old age are increasingly denied. Ageing and Popular Culture traces the historical emergence of stereotypes of retirement and documents their recent demise, arguing that although modernisation, marginalisation, and medicalisation created rigid age classifications, the rise of consumer culture has coincided with a postmodern broadening of options for those in the Third Age. With an adroit use of photographs and other visual sources, Andrew Blaikie demonstrates that an expanded leisure phase is breaking down barriers between mid and later life. At the same time, 'positive ageing' also creates new imperatives and new norms with attendant forms of deviance. While babyboomers may anticipate a fulfilling retirement, none relish decline. Has deep old age replaced death as the taboo subject of the late twentieth century? If so, what might be the consequences?

This book brings together studies broadly addressing human error from different disciplines and perspectives. It discusses topics such as human performance; human variability and reliability analysis; medical, driver and pilot error, as well as automation error; root cause analyses; and the cognitive modeling of human error. In addition, it highlights cutting-edge applications in safety management, defense, security, transportation, process controls, and medicine, as well as more traditional fields of application. Based on the AHFE 2018 International Conference on Human Error, Reliability, Resilience, and Performance, held on July 21–25, 2018, in Orlando, Florida, USA, the book includes experimental papers, original reviews, and reports on case studies, as well as meta-analyses, technical guidelines, best practice and methodological papers. It offers a timely reference guide for researchers and practitioners dealing with human error in a diverse range of fields.

Roger examines how developments in new media technologies, such as the internet, blogs, camera/video phones, have fundamentally altered the way in which governments, militaries, terrorists, NGOs, and citizens engage with images. He argues that there has been a paradigm shift from techno-war to image warfare, which emerged on 9/11.

This is the first book to analyze how the technology to alter images and rapidly distribute them can be used for propaganda and to support deception operations. In the past, propagandists and those seeking to conduct deception operations used crude methods to alter images of real people, events and objects, which could usually be detected relatively easily. Today, however, computers allow propagandists to create any imaginable image, still or moving, with appropriate accompanying audio. Furthermore, it is becoming extremely difficult to detect that an image has been manipulated, and the Internet, television and global media make it possible to disseminate altered images around the world almost instantaneously. Given that the United States is the sole superpower, few, if any, adversaries will attempt to fight the US military conventionally on the battlefield. Therefore, adversaries will use propaganda and deception, especially altered images, in an attempt to level the battlefield or to win a war against the United States without even having to fight militarily. Propaganda and Information Warfare in the 21st Century will be of great interest to students of information war, propaganda, public diplomacy and security studies in general.

This handbook brings together a variety of approaches to the uses of big data in multiple fields, primarily science, medicine, and business. This single resource features contributions from researchers around the world from a variety of fields, where they share their findings and experience. This book is intended to help spur further innovation in big data. The research is presented in a way that allows readers, regardless of their field of study, to learn from how applications have proven successful and how similar applications could be used in their own field. Contributions stem from researchers in fields such as physics, biology, energy, healthcare, and business. The contributors also discuss important topics such as fraud detection, privacy implications, legal perspectives, and ethical handling of big data.

The use of image-based evidence in international criminal prosecutions is at a tipping point. In his pioneering book on the topic, Jonathan W. Hak, KC provides critical insight into the authentication and interpretation of images, setting out how images can be effectively used in the search for the truth. While images can convey vital information more efficiently and effectively than words alone, the biases of photographers, the use of image-altering technology, and the generation of images with artificial intelligence can lead to mischief and injustice. In this context, images must be effectively authenticated and interpreted to establish their true meaning. Addressing the growing need for visual literacy, Jonathan W. Hak's Image-Based Evidence in International Criminal Prosecutions systematically explores the value of images as probative and didactic evidence in international criminal law. It analyses existing challenges in the creation, acquisition, processing, and use of image-based evidence, making recommendations for how those challenges might be addressed. In particular, the book investigates emerging technical frontiers in image-based evidence and the potential uses for advanced visual representations like virtual reality, immersive virtual environments, and augmented reality. Ultimately, the book argues that advanced visual representations may have sufficient probative value and proposes cautious parameters for their application in the international courtroom. An essential resource for anyone working with image-based evidence, the book offers significant guidance, relevant legal and technical detail, and recommendations for the use of image-based evidence in investigations and the courtroom.

Identifying plagiarism is a pressing problem for research institutions, publishers, and funding bodies. Current detection methods focus on textual analysis and find copied, moderately reworded, or translated content. However, detecting more subtle forms of plagiarism, including strong paraphrasing, sense-for-sense translations, or the reuse of non-textual content and ideas, remains a challenge. This book presents a novel approach to address this problem—analyzing non-textual elements in academic documents, such as citations, images, and mathematical content. The proposed detection techniques are validated in five evaluations using confirmed plagiarism cases and exploratory searches for new instances. The results show that non-textual elements contain much semantic information, are language-independent, and resilient to typical tactics for concealing plagiarism. Incorporating non-textual content analysis complements text-based detection approaches and increases the detection effectiveness, particularly for disguised forms of plagiarism. The book introduces the first integrated plagiarism detection system that combines citation, image, math, and text similarity analysis. Its user interface features visual aids that significantly reduce the time and effort users must invest in examining content similarity.