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Look at it this way... Everywhere we look, “framing” affects how we see things. Frames restrict our view, keeping us from seeing the whole truth, and subtly influencing our take on everything from deck-chairs to democracy. This upbeat, punchy guide to framespotting will open your eyes and your mind. Learn to notice frames and it’s amazing what else you’ll see: fresh ideas; how and why you’re being hoodwinked; and how you’re part of the transition from growth to growing up. Framespotting is empowering and liberating. And you’ll never look at sprinklers or economists the same way again.
It is now clear that human activity has influenced how the biosphere supports life on Earth, and given rise to a set of connected environmental and social problems. In response to the challenge that these problems present, a series of international conferences and summits led to discussions of sustainable development and the core dilemma of our time: How can we all live well, now and in the future, without compromising the ability of the planet to enable us all to live well? This book identifies the main issues and challenges we now face; it explains the ideas that underpin them and their interconnection, and discusses a range of strategies through which they might be addressed and possibly resolved. These cover things that governments might do, what businesses and large organisations can contribute, and the scope for individuals, families and communities to get involved. This book is for everyone who cares about such challenges, and wants to know more about them.
This book focuses on seven commonly used image analysis techniques. It covers aspects from basic principles and practical methods, to new advancement of each selected technique to help readers solve image‐processing related problems in real-life situations. The selected techniques include image segmentation, segmentation evaluation and comparison, saliency object detection, motion analysis, mathematical morphology methods, face recognition and expression classification. The author offers readers a three‐step strategy toward problem‐solving: first, essential principles; then, a detailed explanation; and finally, a discussion on practical and working techniques for specific tasks. He also encourages readers to make full use of available materials from the latest developments and trends. This is an excellent book for those who do not have a complete foundation in image technology but need to use image analysis techniques to perform specific tasks in particular applications.
Affective computing refers to computing that relates to, arises from, or influences emotions, as pioneered by Rosalind Picard in 1995. The goal of affective computing is to bridge the gap between human and machines and ultimately enable robots to communicate with human naturally and emotionally. Recently, the research on affective computing has gained considerable progress with many fields contributing including neuroscience, psychology, education, medicine, behavior, sociology, and computer science. Current research in affective computing mainly focuses on estimating of human emotions through different forms of signals, e.g., face video, EEG, Speech, PET scans or fMRI. Inferring the emotion of humans is difficult, as emotion is a subjective, unconscious experience characterized primarily by psycho-physiological expressions and biological reactions. It is influenced by hormones and neurotransmitters such as dopamine, noradrenaline, serotonin, oxytocin, GABA… etc. The physiology of emotion is closely linked to arousal of the nervous system with various states and strengths relating, apparently, to different particular emotions. To understand “emotion” or “affect” merely by machine learning or big data analysis is not enough, but the understanding and applications from the intrinsic features of emotions from the neuroscience aspect is essential.
Everyone stops and stares at a horse with a beautiful or unusual color. So striking are the variations of bay, gray, chestnut, black, solid, and spotted that many people breed for specific combinations. This has led to a marked increase in international interest in the study of horse color genetics—as well as a need for an easy-to-use reference suitable for the layperson who also wants to understand the science behind it all. In these pages, horsewoman and genetics specialist Vera Kurskaya puts forward a guide that aims to not only provide basic information about horse color appropriate for a general audience, but also explore the specifics of inheritance and recent color genetics research certain to inform serious aficionados worldwide. With 200+ color photographs in handy reference sections throughout, as well as an in-depth look at special hair features, the evolution of horse color, and the effect of color on performance, fertility, and character, Horse Color Explored is a fascinating and valuable resource for the modern horseperson.
The three-volume set, consisting of LNCS 10116, 10117, and 10118, contains carefully reviewed and selected papers presented at 17 workshops held in conjunction with the 13th Asian Conference on Computer Vision, ACCV 2016, in Taipei, Taiwan in November 2016. The 134 full papers presented were selected from 223 submissions. LNCS 10116 contains the papers selected
As a Chinese saying goes, “Look at the weather when you step out; look at men’s faces when you step in.” Recognizing expressions is a very common activity in daily life. People can infer someone’s inner emotions from his or her facial expressions. However, not everyone writes their emotion on their face; someone may suppress true emotion and express a false facial expression depending on politeness, context, culture, or status. The suppressed expressions can be expressed fleetingly in the form of microexpressions, which usually last only 1/25 to 1/5 second. Microexpressions were of importance for many practical applications because it reflects the true inner feeling, such as national security, deception detection, clinical therapy, emotion analysis, and human-computer interaction. The recognition of microexpressions is the premise of application of microexpression and now the recognition of microexpressions are getting more and more attention. However, perceiving other’s microexpressions is not easy. The context, culture, and perceiver himself affect the recognition of microexpression. There are considerable efforts in the field of psychology, neuroscience, and computer science to recognize facial microexpressions. This Researc Topic illuminates the latest advances in interdisciplinary understanding how microexpressions are perceived and recognized. The authors contribute from diverse perspectives in the current research topic by using behavioral experiment, EEG, fMRI, and computer vision techniques. They investigated how humans recognize macroexpressions and microexpressions in term of modulating factors (e.g., gender, duration) and the underlying neural mechanisms, and how machine recognition algorithms and models are developed and inspired by the human recognition data. The Research Topic reveals that research on the recognition of microexpressions is diverse but progressing. This is not surprising given that this topic receives more and more attention due to its promising potential applications. As new techniques and theories develop, it is likely that efficient and effective algorithms for recognizing microexpression will become possible. We hope that these articles provide a look into that future.
"Change the system, not the climate" is a common slogan of climate change activists. Yet when this idea comes into the academic and policy realm, it is easy to see how climate change discourse frequently asks the wrong questions. Reframing Climate Change encourages social scientists, policy-makers, and graduate students to critically consider how climate change is framed in scientific, social, and political spheres. It proposes ecological geopolitics as a framework for understanding the extent to which climate change is a meaningful analytical focus, as well as the ways in which it can be detrimental, detracting attention from more productive lines of thought, research, and action. The volume draws from multiple perspectives and disciplines to cover a broad scope of climate change. Chapter topics range from climate science and security to climate justice and literacy. Although these familiar concepts are widely used by scholars and policy-makers, they are discussed here as frequently problematic when used as lenses through which to study climate change. Beyond merely reviewing current trends within these different approaches to climate change, the collection offers a thoughtful assessment of these approaches with an eye towards an overarching reconsideration of the current understanding of our relationship to climate change. Reframing Climate Change is an essential resource for students, policy-makers, and anyone interested in understanding more about this important topic. Who decides what the priorities are? Who benefits from these priorities, and what kinds of systems or actions are justified or hindered? The key contribution of the book is the outlining of ecological geopolitics as a different way of understanding human–environment relationships including and beyond climate change issues.