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This encyclopedia covers all English language animation from the first 80 years of its history. From the popular to the obscure, each entry includes production information, synopsis and other rare and obscure information.
A short but comprehensive guide to the world of animation in the movies. Written by an expert in the field the book explores the origins of the form and its evolution through to the emergence of CGI. We see the masters of the art, the great studios and the characters who have generally outlived their creators. Features all the great movies (and some not-so-great ones too.).
From the imagination of legendary animator and two-time Oscar nominee Don Hertzfeldt comes a hilarious fever-dream vision of the apocalypse, now available in wide release for the first time since the rare original edition sold out. Created during sleepless nights while he worked on his animated films, The End of the World was illustrated entirely on Post-It notes over the course of several years, slowly taking shape from all the deleted scenes, bad dreams, and abandoned ideas that were too strange to make it to the big screen, including essential early material that was later developed into the animated classic World of Tomorrow. Hertzfeldt's visually striking work transcends its unusual nature and taps into the deeply human, universal themes of mortality, identity, memory, loss, and parenthood . . . with the occasional monstrous biting eel descending from the sky.
A must for collectors and fans of all ages, this is the most exciting, comprehensive, and thorough examination of what the Disney magic is all about. More than 2,700 illustrations, 489 in full color.
This book teaches how to use CSS3 to build cool, responsive user interface features that are feasible for use in real-world projects today. Readers will appreciate the author's approachable style and will catch on quickly with this easy-to-follow, practical guide. Well known and respected CSS3 expert Chris Mills devotes much of the book to creating fallbacks for older browsers, so that the content will still be accessible and usable. Each chapter begins with a quick reference sheet with all the syntax, fallbacks, backward compatibility, and browser support (including mobile). The author clearly explains what the CSS features do and why they are useful. Then he demonstrates a simple design that illustrates usage, followed by more complex variations. The chapter then covers appropriate fallbacks/shivs for older browser support and problems that currently exist for that feature. Topics include CSS3 typography, bling boxes, navigation buttons, animated effects using CSS3, using CSS3 to implement icons, CSS3 layout chops, adaptive layouts and responsive design, fluid layouts and percentages, and styling media. The book's companion website offers a PDF of each chapter's cheat sheet, as well as sample code used in the book, available for free download and updated regularly.
This witty and fascinating study reminds us that there was animation before Disney: about thirty years of creativity and experimentation flourishing in such extraordinary work as Girdie the Dinosaur and Felix the Cat. Before Mickey, the first and only in-depth history of animation from 1898-1928, includes accounts of mechanical ingenuity, marketing and art. Crafton is equally adept at explaining techniques of sketching and camera work, evoking characteristic styles of such pioneering animators as Winsor McCay and Ladislas Starevitch, placing work in its social and economic context, and unraveling the aesthetic impact of specific cartoons. "Before Mickey's scholarship is quite lively and its descriptions are evocative and often funny. The history of animation coexisted with that of live-action film but has never been given as much attention."—Tim Hunter, New York Times
With the advent of advanced hand-held technology and the widespread nature of the Internet, the world of animated filmmaking is more exciting and accessible than ever. Due to this cultural and technological development, the success of independent animated film makers is on the rise. Independent Animation: Developing, Producing and Distributing Your Animated Films, Second Edition showcases some of the greatest, most innovative giants in the field and helps guide readers through the artistic process and production techniques. Story development, casting, color theory, distribution and the intimidating aspects of production are elucidated using various examples of acclaimed, viral and award-winning animated films from all over the world. Readers will also explore the changing nature of audiences, festivals and distributors’ relationships with animation and be granted first-hand guidance in navigating the diverse fields of animated filmmaking. Key Features: Covers the entire process of creating an independent animated film from story development and casting to editing and distribution Presents a comprehensive array of classic and contemporary case studies covering all manner of production methods from traditional pipelines to avant-garde, auteur and experimental approaches Features input and exclusive insight into the working processes of some of the industry’s most noteworthy indie animation talents, including Signe Baumane, Adam Elliot, Don Hertzfeldt, Kirsten Lepore, Robert Morgan, David OReilly, PES, Bill Plympton, Rosto, Chris Shepherd and dozens more Additional resources and interviews are available through a special section of Skwigly Online Animation Magazine.
Commissioned by the Statistical Society of Canada (SSC), Statistics in Action: A Canadian Outlook helps both general readers and users of statistics better appreciate the scope and importance of statistics. It presents the ways in which statistics is used while highlighting key contributions that Canadian statisticians are making to science, technology, business, government, and other areas. The book emphasizes the role and impact of computing in statistical modeling and analysis, including the issues involved with the huge amounts of data being generated by automated processes. The first two chapters review the development of statistics as a discipline in Canada and describe some major contributions to survey methodology made by Statistics Canada, one of the world’s premier official statistics agencies. The book next discusses how statistical methodologies, such as functional data analysis and the Metropolis algorithm, are applied in a wide variety of fields, including risk management and genetics. It then focuses on the application of statistical methods in medicine and public health as well as finance and e-commerce. The remainder of the book addresses how statistics is used to study critical scientific areas, including difficult-to-access populations, endangered species, climate change, and agricultural forecasts. About the SSC Founded in Montréal in 1972, the SSC is the main professional organization for statisticians and related professionals in Canada. Its mission is to promote the use and development of statistics and probability. The SSC publishes the bilingual quarterly newsletter SSC Liaison and the peer-reviewed scientific journal The Canadian Journal of Statistics. More information can be found at www.ssc.ca.
An essential introduction to data analytics and Machine Learning techniques in the business sector In Financial Data Analytics with Machine Learning, Optimization and Statistics, a team consisting of a distinguished applied mathematician and statistician, experienced actuarial professionals and working data analysts delivers an expertly balanced combination of traditional financial statistics, effective machine learning tools, and mathematics. The book focuses on contemporary techniques used for data analytics in the financial sector and the insurance industry with an emphasis on mathematical understanding and statistical principles and connects them with common and practical financial problems. Each chapter is equipped with derivations and proofs—especially of key results—and includes several realistic examples which stem from common financial contexts. The computer algorithms in the book are implemented using Python and R, two of the most widely used programming languages for applied science and in academia and industry, so that readers can implement the relevant models and use the programs themselves. The book begins with a brief introduction to basic sampling theory and the fundamentals of simulation techniques, followed by a comparison between R and Python. It then discusses statistical diagnosis for financial security data and introduces some common tools in financial forensics such as Benford's Law, Zipf's Law, and anomaly detection. The statistical estimation and Expectation-Maximization (EM) & Majorization-Minimization (MM) algorithms are also covered. The book next focuses on univariate and multivariate dynamic volatility and correlation forecasting, and emphasis is placed on the celebrated Kelly's formula, followed by a brief introduction to quantitative risk management and dependence modelling for extremal events. A practical topic on numerical finance for traditional option pricing and Greek computations immediately follows as well as other important topics in financial data-driven aspects, such as Principal Component Analysis (PCA) and recommender systems with their applications, as well as advanced regression learners such as kernel regression and logistic regression, with discussions on model assessment methods such as simple Receiver Operating Characteristic (ROC) curves and Area Under Curve (AUC) for typical classification problems. The book then moves on to other commonly used machine learning tools like linear classifiers such as perceptrons and their generalization, the multilayered counterpart (MLP), Support Vector Machines (SVM), as well as Classification and Regression Trees (CART) and Random Forests. Subsequent chapters focus on linear Bayesian learning, including well-received credibility theory in actuarial science and functional kernel regression, and non-linear Bayesian learning, such as the Naïve Bayes classifier and the Comonotone-Independence Bayesian Classifier (CIBer) recently independently developed by the authors and used successfully in InsurTech. After an in-depth discussion on cluster analyses such as K-means clustering and its inversion, the K-nearest neighbor (KNN) method, the book concludes by introducing some useful deep neural networks for FinTech, like the potential use of the Long-Short Term Memory model (LSTM) for stock price prediction. This book can help readers become well-equipped with the following skills: To evaluate financial and insurance data quality, and use the distilled knowledge obtained from the data after applying data analytic tools to make timely financial decisions To apply effective data dimension reduction tools to enhance supervised learning To describe and select suitable data analytic tools as introduced above for a given dataset depending upon classification or regression prediction purpose The book covers the competencies tested by several professional examinations, such as the Predictive Analytics Exam offered by the Society of Actuaries, and the Institute and Faculty of Actuaries' Actuarial Statistics Exam. Besides being an indispensable resource for senior undergraduate and graduate students taking courses in financial engineering, statistics, quantitative finance, risk management, actuarial science, data science, and mathematics for AI, Financial Data Analytics with Machine Learning, Optimization and Statistics also belongs in the libraries of aspiring and practicing quantitative analysts working in commercial and investment banking.
Animation has been a staple of the filmmaking process since the early days of cinema. Animated shorts had been produced for decades, but not until 1937 did a major studio venture into animated features when Walt Disney produced Snow White and the Seven Dwarfs. Of the hundreds of animated feature films made since, many have proven their importance over the years while also entertaining generations of audiences. There are also many recent animated movies that promise to become classics in the field. In 100 Greatest American British Animated Films, Thomas S, Hischak looks at the most innovative, influential, and entertaining features that have been produced since the late 1930s—from traditional hand-drawn works and stop-motion films to computer-generated wonders. These movies have been selected not simply because of their popularity or critical acceptance but for their importance. Entries in this volume contain plot information production history critical reaction commentary on the film’s cinematic quality a discussion of the film’s influence voice casts production credits songs sequels, spin-offs, Broadway versions, and television adaptations awards and nominations Each movie is also discussed in the context of its original release as well as the ways in which the film has lived on in the years since. Familiar favorites and lesser-known gems are included, making the book a fascinating journey for both the avid animation fan and the everyday moviegoer. With a sweeping look at more than eight decades of movies, 100 Greatest American and British Animated Films highlights some of the most treasured features of all time.