Artificial intelligence (AI) and digital engineering have become prevalent in business, industry, government, and academia. However, the workforce still has a lot to learn on how to leverage them. This handbook presents the preparatory and operational foundations for the efficacy, applicability, risk, and how to take advantage of these tools and techniques. "Handbook of Mathematical and Digital Engineering Foundations for Artificial Intelligence: A Systems Methodology" provides a guide for using digital engineering platforms for advancing AI applications. The book discusses an interface of education and research in the pursuit of AI developments and highlights the facilitation of advanced education through AI and digital engineering systems. It presents an integration of soft and hard skills in developing and using AI and offers a rigorous systems approach to understanding and using AI. This handbook will be the go-to resource for practitioners and students on applying systems methodology to the body of knowledge of understanding, embracing, and using digital engineering tools and techniques.

Pulling aside the curtain of 'Big Data' buzz, this book introduces C-suite and other non-technical senior leaders to the essentials of obtaining and maintaining accurate, reliable data, especially for decision-making purposes. Bad data begets bad decisions, and an understanding of data fundamentals - how data is generated, organized, stored, evaluated, and maintained - has never been more important when solving problems such as the pandemic-related supply chain crisis. This book addresses the data-related challenges that businesses face, answering questions such as: What are the characteristics of high-quality data? How do you get from bad data to good data? What procedures and practices ensure high-quality data? How do you know whether your data supports the decisions you need to make? This clear and valuable resource will appeal to C-suite executives and top-line managers across industries, as well as business analysts at all career stages and data analytics students.

Cloud based Multi-Modal Information Analytics: A Hands-on Approach discusses the various modalities of data and provide an aggregated solutions using cloud. It includes the fundamentals of neural networks, different types and how it can be used for the multi-modal information analytics. The various application areas that are image-centric and video are also presented with deployment solutions in the cloud. Features Life cycle of the multi- modal data analytics is discussed with applications of modalities of text, image, and video. Deep Learning fundamentals and architectures covering CNN, RNN and its types for learning for different multi-modal networks. Applications of Multi-Modal Analytics covering Text , Speech, and Image. This book is aimed at researchers in Multi-modal analytics and related areas

An ideal reference source for CEOs, marketing and sales managers, sales consultants, and students of international marketing, Guide to Software Export provides a step-by-step approach to initiating or expanding international software sales. It teaches you how to examine critically your candidate product for exportability; how to find distributors, agents, and resellers abroad; how to identify the best distribution structure for export; and much, much more Not content with providing just the guidelines for setting up, expanding, and managing your international sales channels, Guide to Software Export advises you on pitfalls to avoid, important legal and financial considerations associated with software export, and essential market and distribution information. In an effort to cover all the bases, this comprehensive text also discusses: negotiating partnerships electronic marketing evaluating the competition cultural assumptions and biases adapting software for use in Asian markets information sources on the Internet distribution channel strategiesIf you re not satisfied with your company 's international sales performance or you want to get into the global market, Guide to Software Export can help you guide your company through the transition. With the book 's easy-to-follow advice and checkpoints, you are sure to bring new levels of success to your company, so act now and get out in the forefront of software exporting.

An essential resource for anyone preparing for the CIPM certification exam and a career in information privacy As cybersecurity and privacy become ever more important to the long-term viability and sustainability of enterprises in all sectors, employers and professionals are increasingly turning to IAPP's trusted and recognized Certified Information Privacy Manager qualification as a tried-and-tested indicator of information privacy management expertise. In IAPP CIPM Certified Information Privacy Manager Study Guide, a team of dedicated IT and privacy management professionals delivers an intuitive roadmap to preparing for the CIPM certification exam and for a new career in the field of information privacy. Make use of pre-assessments, the Exam Essentials feature, and chapter review questions with detailed explanations to gauge your progress and determine where you're proficient and where you need more practice. In the book, you'll find coverage of every domain tested on the CIPM exam and those required to succeed in your first--or your next--role in a privacy-related position. You'll learn to develop a privacy program and framework, as well as manage the full privacy program operational lifecycle, from assessing your organization's needs to responding to threats and queries. The book also includes: A head-start to obtaining an in-demand certification used across the information privacy industry Access to essential information required to qualify for exciting new career opportunities for those with a CIPM credential Access to the online Sybex learning environment, complete with two additional practice tests, chapter review questions, an online glossary, and hundreds of electronic flashcards for efficient studying An essential blueprint for success on the CIPM certification exam, IAPP CIPM Certified Information Privacy Manager Study Guide will also ensure you hit the ground running on your first day at a new information privacy-related job.

Blockchain is a transformative driver for change in all industries. Learn from the latest research and case studies how this technology can and will be used to revolutionize supply chain management. Blockchain and the Supply Chain provides a complete overview of blockchain and the key benefits of integrating this technology into the supply chain. This textbook explains how track and trace can be improved, transaction efficiency increased, visibility enhanced, and more through blockchain. With extensive case studies, learning is underpinned by practical insights as well as cutting-edge research. Clear and accessible information is provided to students on how blockchain will affect supply chain processes, metrics and performance and how to capitalize on the potential of this technology. The fully revised new edition includes the latest information on Enterprise Blockchain, Ethereum and Hyperledger. Focus is also placed on the application of Cloud, Internet of Things (IoT), Machine learning (ML) and other technologies that support supply chains and their integration with blockchain. This textbook highlights how to use blockchain as an enabler and key driver for solutions in the end-to-end supply chain. Online resources include lecture slides and example assignments and quizzes.

A variety of ideas, approaches, and techniques exist -- in terms of both architecture and learning -- and this abundance seems to lead to many exciting possibilities in terms of theoretical advances and application potentials. Despite the apparent diversity, there is clearly an underlying unifying theme: architectures that bring together symbolic and connectionist models to achieve a synthesis and synergy of the two different paradigms, and the learning and knowledge acquisition methods for developing such architectures. More effort needs to be extended to exploit the possibilities and opportunities in this area.
This book is the outgrowth of The IJCAI Workshop on Connectionist-Symbolic Integration: From Unified to Hybrid Approaches, held in conjunction with the fourteenth International Joint Conference on Artificial Intelligence (IJCAI '95). Featuring various presentations and discussions, this two-day workshop brought to light many new ideas, controversies, and syntheses which lead to the present volume.
This book is concerned with the development, analysis, and application of hybrid connectionist-symbolic models in artificial intelligence and cognitive science. Drawing contributions from a large international group of experts, it describes and compares a variety of models in this area. The types of models discussed cover a wide range of the evolving spectrum of hybrid models, thus serving as a well-balanced progress report on the state of the art. As such, this volume provides an information clearinghouse for various proposed approaches and models that share the common belief that connectionist and symbolic models can be usefully combined and integrated, and such integration may lead to significant advances in understanding intelligence.

Create beautiful iPhone photos with the techniques found in this book iPhone Photography For Dummies, shares the expertise of photography workshop instructor Mark Hemmings as he shows readers how to get stunning images using their favorite iPhone. By implementing Hemmings' simple techniques, you'll get professional-looking results in a fraction of the time you'd expect. You'll learn to: Adjust camera settings Create majestic landscape images Capture exciting action shots Shoot beautiful portraits Select an editing app Share and organize images Shoot photos comfortably while on the go Perfect for those who want to take breathtaking photos without investing in a top-of-the-line camera, iPhone Photography For Dummies takes the guesswork and luck out of creating beautiful imagery. It shows people without formal training in photography how to make meaningful and noticeable improvements in their shooting technique using either the latest iPhone model or older versions of the device.

Industry 4.0 is the latest technological innovation in manufacturing with the goal to increase productivity in a flexible and efficient manner. Changing the way in which manufacturers operate, this revolutionary transformation is powered by various technology advances including Big Data analytics, Internet of Things (IoT), Artificial Intelligence (AI), and cloud computing. Big Data analytics has been identified as one of the significant components of Industry 4.0, as it provides valuable insights for smart factory management. Big Data and Industry 4.0 have the potential to reduce resource consumption and optimize processes, thereby playing a key role in achieving sustainable development. Big Data Applications in Industry 4.0 covers the recent advancements that have emerged in the field of Big Data and its applications. The book introduces the concepts and advanced tools and technologies for representing and processing Big Data. It also covers applications of Big Data in such domains as financial services, education, healthcare, biomedical research, logistics, and warehouse management. Researchers, students, scientists, engineers, and statisticians can turn to this book to learn about concepts, technologies, and applications that solve real-world problems. Features An introduction to data science and the types of data analytics methods accessible today An overview of data integration concepts, methodologies, and solutions A general framework of forecasting principles and applications, as well as basic forecasting models including naive, moving average, and exponential smoothing models A detailed roadmap of the Big Data evolution and its related technological transformation in computing, along with a brief description of related terminologies The application of Industry 4.0 and Big Data in the field of education The features, prospects, and significant role of Big Data in the banking industry, as well as various use cases of Big Data in banking, finance services, and insurance Implementing a Data Lake (DL) in the cloud and the significance of a data lake in decision making

Digital worlds and cultures-social media, web 2.0, youtube, wearable technologies, health and fitness apps-dominate, if not order, our everyday lives. We are no longer 'just' consumers or readers of digital culture but active producers through facebook, twitter, Instagram, youtube and other emerging technologies. This book is predicated on the assumption that out understanding of our everyday lives should be informed by what is taking place in and through emerging technologies given these (virtual) environments provide a crucial context where traditional, categorical assumptions about the body, identity and leisure may be contested. Far from being 'virtual', the body is constituted within and through emerging technologies in material ways. Recent 'moral panics' over the role of digital cultures in teen suicide, digital drinking games, an endless array of homoerotic images of young bodies being linked with steroid use, disordered eating and body dissatisfaction, facebook games/fundraising campaigns (e.g. for breast cancer), movements devoted to exposing 'everyday sexism' / metoo, twitter abuse (of feminists, of athletes, of racist nature to name but a few), speak to the need for critical engagement with digital cultures. While some of the earlier techno-utopian visions offered the promise of digitality to give rise to participatory, user generator collaborations, within this book we provide critical engagement with digital technologies and what this means for our understandings of leisure cultures. The chapters originally published in a special issue in Leisure Studies.

Studies in Computational Linguistics presents authoritative texts from an international team of leading computational linguists. The books range from the senior undergraduate textbook to the research level monograph and provide a showcase for a broad range of recent developments in the field. The series should be interesting reading for researchers and students alike involved at this interface of linguistics and computing.

Accompanying an exhibition at the Wallace Collection, Inspiring Walt Disney explores the influences of the art and architecture of France on Walt Disney and his studio artists, highlighting in particular the Disney classics of hand-drawn animation, Cinderella (1950) and Beauty and the Beast (1991). Pairing preparatory material from these films - including concept art for talking furniture and fairy-tale castles - with masterpieces from the eighteenth century reveals hidden sources of inspiration and allows us to appreciate the extraordinary talents behind Disney animated films and French decorative arts. Just as the dynamic, twisting movements of the Rococo sought to breathe life into what was essentially inanimate - silver, porcelain, furniture - so too did Disney animators seek to create the illusion of movement, action and emotion. Illustrated with innovative works by artists such as Mary Blair, Hans Bacher and Peter J. Hall, and the animated and anthropomorphic furniture, Sevres porcelain and gilt bronze of rococo designers, the catalogue explores the shared creative roots of these two seemingly disparate artistic realms and looks to revitalise the feelings of excitement, awe and marvel, which both eighteenth-century craftsmen and Disney animators sought to spark in their audiences.

Documents, such as drawings, memos and specifications, form an essential function in the design and construction industry. Throughout the lifecycle of a built asset, starting from an initial design idea, right through to a final built form and its ongoing management, thousands, even millions of documents can be used to convey various forms of information to a range of interested parties. In many ways, therefore, the success of a design, or construction-based company, relies upon an understanding of the use of documents, as well as the technologies and techniques that are used to create them.

The Digital Document provides an extensive background to the issues and technologies surrounding this very important topic. It examines a technical subject in an insightful manner that is neither intimidating nor confusing, even to the novice computer user. By introducing the subject through a series of preliminary reviews of current practices and essential computing technologies, the reader is able to better appreciate the benefits and capabilities of a wide range of digital document types. This book explores the role of documents in a professional practice, examines the components, capabilities, viability, and use of digital documents in the design and construction industry, and identifies and explains many of the
standards in use today.
In order to facilitate a better understanding of digital document technologies, a number of essential reviews are provided including:
- the definition and purpose of a document
- how documents are typically used by design professionals
- the nature of the digital document environment
- the data types which make up digital documents
The Digital Document is an essential reference for the architect, engineer or design professional that wants to find out more about effective communication in the digital workplace.
Bruce Duyshart is an IT Project Manager with Lend Lease Corporation and specialises in the development and implementation of digital media and information management technologies on design and construction projects. He holds a Masters degree in Architecture and is also an academic associate of the Faculty of Architecture, Building and Planning at the University of Melbourne. He has written numerous papers on emerging technologies in the architecture, engineering and construction industry, and has developed Internet web sites for the Royal Australian Institute of Architects and Architecture Media.
Only book available on this subjectMeets an increasing awareness of the importance of digital documentsEndorsed by influential organisations and institutions: Lend Lease, The University of Melbourne and the Royal Australian Institute of Architects

Data is an intrinsic part of our daily lives. Everything we do is a data point. Many of these data points are recorded with the intent to help us lead more efficient lives. We have apps that track our workouts, sleep, food intake, and personal finance. We use the data to make changes to our lives based on goals we have set for ourselves. Businesses use vast collections of data to determine strategy and marketing. Data scientists take data, analyze it, and create models to help solve problems. You may have heard of companies having data management teams or chief information officers (CIOs) or chief data officers (CDOs), etc. They are all people who work with data, but their function is more related to vetting data and preparing it for use by data scientists. The jump from personal data usage for self-betterment to mass data analysis for business process improvement often feels bigger to us than it is. In turn, we often think big data analysis requires tools held only by advanced degree holders. Although advanced degrees are certainly valuable, this book illustrates how it is not a requirement to adequately run a data science project. Because we are all already data users, with some simple strategies and exposure to basic analytical software programs, anyone who has the proper tools and determination can solve data science problems. The process presented in this book will help empower individuals to work on and solve data-related challenges. The goal of this book is to provide a step-by-step guide to the data science process so that you can feel confident in leading your own data science project. To aid with clarity and understanding, the author presents a fictional restaurant chain to use as a case study, illustrating how the various topics discussed can be applied. Essentially, this book helps traditional businesspeople solve data-related problems on their own without any hesitation or fear. The powerful methods are presented in the form of conversations, examples, and case studies. The conversational style is engaging and provides clarity.

Provides a comprehensive review on new swarm intelligence Offers practical implementation of PSO with MATLAB code Presents statistical analysis techniques so that researchers can analyze their own experiment design Discusses swarm intelligence algorithms in social sector and oil and gas industries Covers recent findings and the implementation techniques to Machine Learning

The Intelligent Transportation System (ITS) Program is a cooperative effort by government, private industry, and academia to apply advanced technology to the task of resolving the problems of surface transportation. The objective is to improve travel efficiency and mobility, enhance safety, conserve energy, provide economic benefits, and protect the environment. The current demand for mobility has exceeded the available capacity of the roadway system. Because the highway system cannot be expanded, except in minor ways, the available capacity must be used more efficiently to handle the increased demand.
ITS applies advanced information processing, communication, sensing, and computer control technologies to the problems of surface transportation. Considerable research and development efforts will be required to produce these new technologies and to convert technologies developed in the defense and space programs to solve surface transportation problems.
ITS has been subdivided into six interlocking technology areas. This book addresses human factors concerns for four of these areas:
*" Advanced Traveler Information Systems" are a variety of systems that provide real time, in-vehicle information to drivers regarding navigation and route guidance, motorist services, roadway signing, and hazard warnings.
*" Advanced Vehicle Control Systems" refer to systems that aid drivers in controlling their vehicle particularly in emergency situations and ultimately taking over some or all of the driving tasks.
*" Commercial Vehicle Operations" address the application of ITS technologies to the special needs of commercial roadway vehicles including automated vehicle identification, location, weigh-in-motion, clearance sensing, and record keeping.
*" Advanced Traffic Management Systems" monitor, control and manage traffic on streets and highways to reduce congestion using vehicle route diversion, automated signal timing, changeable message signs, and priority control systems.
Two technical areas are not specifically addressed in individual chapters, but many aspects of them are covered in associated chapters:
*" Advanced Rural Transportation Systems" include systems that apply ITS technologies to the special needs of rural systems and include emergency notification and response, vehicle location, and traveler information.
*" Advanced Public Transportation Systems" enhance the effectiveness, attractiveness and economics of public transportation and include fleet management, automated fare collection, and real-time information systems.

"A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigor and precision with accessibility, starts from a detailed explanation of the basic foundations of Bayesian analysis in the simplest of settings, and goes all the way to the frontiers of the subject such as infinite mixture models, GPs, and MCMC." -Devdatt Dubhashi, Professor, Department of Computer Science and Engineering, Chalmers University, Sweden "This textbook manages to be easier to read than other comparable books in the subject while retaining all the rigorous treatment needed. The new chapters put it at the forefront of the field by covering topics that have become mainstream in machine learning over the last decade." -Daniel Barbara, George Mason University, Fairfax, Virginia, USA "The new edition of A First Course in Machine Learning by Rogers and Girolami is an excellent introduction to the use of statistical methods in machine learning. The book introduces concepts such as mathematical modeling, inference, and prediction, providing 'just in time' the essential background on linear algebra, calculus, and probability theory that the reader needs to understand these concepts." -Daniel Ortiz-Arroyo, Associate Professor, Aalborg University Esbjerg, Denmark "I was impressed by how closely the material aligns with the needs of an introductory course on machine learning, which is its greatest strength...Overall, this is a pragmatic and helpful book, which is well-aligned to the needs of an introductory course and one that I will be looking at for my own students in coming months." -David Clifton, University of Oxford, UK "The first edition of this book was already an excellent introductory text on machine learning for an advanced undergraduate or taught masters level course, or indeed for anybody who wants to learn about an interesting and important field of computer science. The additional chapters of advanced material on Gaussian process, MCMC and mixture modeling provide an ideal basis for practical projects, without disturbing the very clear and readable exposition of the basics contained in the first part of the book." -Gavin Cawley, Senior Lecturer, School of Computing Sciences, University of East Anglia, UK "This book could be used for junior/senior undergraduate students or first-year graduate students, as well as individuals who want to explore the field of machine learning...The book introduces not only the concepts but the underlying ideas on algorithm implementation from a critical thinking perspective." -Guangzhi Qu, Oakland University, Rochester, Michigan, USA

Intelligent Cyber-Physical Systems Security for Industry 4.0: Applications, Challenges and Management presents new cyber-physical security findings for Industry 4.0 using emerging technologies like artificial intelligence (with machine/deep learning), data mining, applied mathematics. All these are the essential components for processing data, recognizing patterns, modeling new techniques, and improving the advantages of data science. Features * Presents an integrated approach with Cyber-Physical Systems, CPS security, and Industry 4.0 in one place * Exposes the necessity of security initiatives, standards, security policies, and procedures in the context of industry 4.0 * Suggests solutions for enhancing the protection of 5G and the Internet of Things (IoT) security * Promotes how optimization or intelligent techniques envisage the role of artificial intelligence-machine/deep learning (AI-ML/DL) in cyberphysical systems security for industry 4.0 This book is primarily aimed at graduates, researchers and professionals working in the field of security. Executives concerned with security management, knowledge dissemination, information, and policy development for data and network security in different educational, government, and non-government organizations will also find this book useful.

China's Belt and Road Initiatives (BRI) is an ambitious infrastructure project conceived in 2013 by President Xi Jinping with development and investment initiatives stretching from Asia and Europe that reflect the original Silk Road with business networks through countries such as Afghanistan, Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan, as well as India and Pakistan, spanning a route of more than four thousand miles and history that can be dated back more than 2200 years. Given the background of China's unique approach in fighting the COVID-19, and against the backdrop of sluggish economic growth, innovation and management within the sustainable development of BRI will be the key and the driving force for the post-pandemic economic recovery for many countries, especially when BRI countries now accounts for nearly 30% of China's foreign trade and 15% of outward direct investment. The vision to create a vast network of railways, energy pipelines, highways, and streamlined border crossings to expand the international use of Chinese currency and improve connectivity to China is good foresight and fortuitous with COVID-19 pandemic came to plague the world, and amid in the conflicts between US and China as well as a War between Russia and Ukraine. Since the inception of BRI many books are written to cover topics ranging from globalization to detailing how China's business and politics as a major motivation for China's overseas economic activities with case studies and practices, yet seldom of these books provide structured approach to the sustainable management of BRI projects. This book is about how to manage innovation, sustainability, and business necessary to make BRI works, and how to handle the issues, problems and crisis that may arise thereof. Participants of BRI projects can take many different roles but ultimately it is team effort and leadership for each project. Here the readers will find guidelines and insights to survive and prosper in a myriad of BRI opportunities and risks. Most important of all, this book provides a glimpse of different approach for success in BRI projects, including sustainability, environmental issues, social and political aspects, technological, choice of industry, project management, education and training, governance and many more.

1. Covers latest concepts in intelligent analytics for industry 4.0. 2. Presents the applications of intelligent analytics for various industry 4.0 domains. 3. Covers latest research topics in the field. 4. Written in a comprehensive and simple manner. 5. The text is accompanied by tables and illustrative figures for better understanding of the topic.

i. This book will contain AI, ML, DL, big data and security never before considered ii. Innovative artificial intelligence techniques and algorithms iii. Only emerging from recent research and development, e.g. AI for big data from security perspective, which are not covered in any existing texts iv. Artificial Intelligence for big data and security Applications with advanced features v. Key new finding of machine learning and deep learning for Security Applications

Gone are the days when data was interlinked with related data by humans and to find insights coherently, human interpretation was required. Data is no more just data. It is now considered a Thing or Entity or Concept- to bring the meaning to it, so that a machine not only understands the concept but also extrapolates the way humans do. Data Science with Semantic Technologies: Deployment and Exploration volume of a two-volume handbook set provides a roadmap for the deployment of semantic technologies in the field of data science and enables the user to create intelligence through these technologies by exploring the opportunities and eradicating the challenges in the current and future time frame. In addition, this book offers the answer to various questions like What makes a technology semantic as opposed to other approaches to data science? What is knowledge data science? How does knowledge data science relate to other fields? This book explores the optimal use of these technologies to provide the highest benefit to the user under one comprehensive source and title. As there is no dedicated book available in the market on this topic at this time, this proposed new book becomes a unique and only resource for scholars, researchers, data scientists, professionals, and practitioners. This volume can serve as an important guide towards applications of data science with semantic technologies for the upcoming generation and thus becomes a unique resource for scholars, researchers, professionals, and practitioners in this field.

As data is an important asset for any organization, it is essential to apply semantic technologies in data science to fulfill the need of any organization. This volume of a two-volume handbook set provides a roadmap for new trends and future developments of data science with semantic technologies. Data Science with Semantic Technologies: New Trends and Future Developments highlights how data science enables the user to create intelligence through these technologies. In addition, this book offers the answers to various questions such as can semantic technologies be able to facilitate data science? Which type of data science problems can be tackled by semantic technologies? How can data scientists get benefited from these technologies? What is the role of semantic technologies in data science? What is the current progress and future of data science with semantic technologies? Which types of problems require the immediate attention of the researchers? What should be the vision 2030 for data science? This volume can serve as an important guide towards applications of data science with semantic technologies for the upcoming generation and thus becomes a unique resource for scholars, researchers, professionals, and practitioners in this field.

Discusses digital fashion design and e-prototyping, including 2D/3D CAD, fashion simulation, fit analysis, digital pattern cutting, marker making, and the zero-waste concept Covers digital human modelling and VR/AR technology Details digital fashion business and promotion, including application of e-tools for supply chain, e-commerce, block chain technologies, big data, and AI

Intended for entry-level digital SLR users, this camera helps to capture brilliant still and video images. It is a comprehensive step-by-step guide that includes a pullout quick reference card. UK author David Taylor provides practical tips on how to get the best from this versatile camera. Canon's Rebel T5/EOS1200D is the latest model in the company's DSLR line-up, replacing the Rebel T3/EOS 1100D, and intended for entry-level photographers. The camera features an 18 megapixel CMSOS (APS-C) image sensor, a high-performance DIGIC 4 image processor, and a nine-point autofocus (AF) system. It is equipped a continuous shooting mode of up to three frames per second (fps) - ideal for capturing fast action. An ISO range of 100-6400 (expandable to 12800) allows shooting in conditions from bright natural outdoor lighting to dimly lit indoor settings. The T5, which comes with an 18-55mm lens, is also compatible with the complete lineup of Canon EF and EF-S lenses detail. The camera's Full HD Movie mode allows shooting of high-quality 1080p movies with ease.