This book constitutes the refereed proceedings of the 6th Conference on Artificial Intelligence and Natural Language, AINL 2017, held in St. Petersburg, Russia, in September 2017. The 13 revised full papers, 4 revised short papers papers were carefully reviewed and selected from 35 submissions. The papers are organized in topical sections on social interaction analysis, speech processing, information extraction, Web-scale data processing, computation morphology and word embedding, machine learning. The volume also contains 6 papers participating in the Russian paraphrase detection shared task.

The book focuses on an image processing technique known as binarization. It provides a comprehensive survey over existing binarization techniques for both document and graphic images. A number of evaluation techniques have been presented for quantitative comparison of different binarization methods. The book provides results obtained comparing a number of standard and widely used binarization algorithms using some standard evaluation metrics. The comparative results presented in tables and charts facilitates understanding the process. In addition to this, the book presents techniques for preparing a reference image which is very much important for quantitative evaluation of the binarization techniques. The results are produced taking image samples from standard image databases.

This book constitutes the thoroughly refereed post-conference proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2016, held in Rome, Italy, in February 2016. The 22 revised full papers presented were carefully reviewed and selected from a total of 321 submissions. The papers are organized in topical sections on biomedical electronics and devices; bioimaging; bioinformatics models, methods and algorithms; bio-inspired systems and signal processing; health informatics.

Render high quality designs and interactive prototypes of web sites and mobile apps using Adobe XD's powerful drawing and layout tools. This book provides an in-depth look at XD and shows you how to quickly get up-to-speed to simplify these processes with intuitive design tools and a powerful prototyping function. Since the advent of the web, designers have struggled with the need to create functioning demo prototypes of their layouts and designs without an extensive amount of code for their clients. The dawn of mobile apps, which are exponentially more difficult to mock-up and demonstrate, has only intensified this problem. Beginning Adobe Experience Design resolves this for you with it's easy-to-use approach to leveraging XD. What You'll Learn Create links and interactivity to see just how your site or app will function Preview your site or prototype live in a web browser or your mobile device Use Adobe XD on both Mac and Windows Who This Book Is For Web front-end designers and user experience professionals and educators interested in teaching the tool

This book constitutes the proceedings of the 13th International Symposium on Smart Graphics, SG 2015, held in Chengdu, China, in August 2015. The 17 full and 3 short papers presented in this volume were carefully reviewed and selected from 35 submissions. They are organized in topical sections named: graphics, sketching and visualization, automation and evaluation, image processing, and posters and demo session.

This three volume set, CCIS 771, 772, 773, constitutes the refereed proceedings of the CCF Chinese Conference on Computer Vision, CCCV 2017, held in Tianjin, China, in October 2017. The total of 174 revised full papers presented in three volumes were carefully reviewed and selected from 465 submissions. The papers are organized in the following topical sections: biological vision inspired visual method; biomedical image analysis; computer vision applications; deep neural network; face and posture analysis; image and video retrieval; image color and texture; image composition; image quality assessment and analysis; image restoration; image segmentation and classification; image-based modeling; object detection and classification; object identification; photography and video; robot vision; shape representation and matching; statistical methods and learning; video analysis and event recognition; visual salient detection.

A textbook for learning 3d modeling fundamentals, this step-by-step lesson book develops the readers modeling skills through a series of modeling exercises creating modules for a medieval castle environment. As the text introduces new modeling skills it additionally calls on the reader to perform repetitive tasks, reinforcing skills learned in the process. The content is presented as if the reader is in a working video game studio, being responsible for researching asset design, providing the team with placeholder assets, and final model assets that are unwrapped and custom textured. Upon completion of the modeling projects, the modeled environment is exported to the Unity game engine for use in a real game environment, Although the text uses Autodesk 3ds Max for the modeling program, the principals are transferable to other major modeling programs. Key Features: The goal of this book is to teach the fundamentals of 3d modeling video game assets in a simplified, logical progression, optimized for learning at a beginner level. This series of modeling exercises is the result of having taught over one thousand video game students the fundamentals of 3d modeling. Often, teachers are not fully trained in teaching the concepts of 3d modeling. This text, written for self-paced learning helps those instructors. Includes instructions and project files for exporting the finished project environment into a 3d game engine, Unity. Appendices include additional 3ds Max tool instructions. A companion site includes working 3ds Max project files for Chapters, a 3ds Max user interface and 3ds Max short cut keys and more.

Learn how to use Thinking Machine Audio Dreams (ThMAD), a realtime audio visualization engine for Ubuntu Linux. This book bridges the gap between programmers and artists. Both artists and developers with an inclination towards arts will profit from this book since it is a combination of a hands-on tutorial, manual, and reference, with many illustrations that accompany the explanations and tutorials. You'll learn the basics of ThMAD's open source software suite and then start experimenting and building your own rendering pipelines to create audio visualizations. You'll see how to soundly use all ThMAD's GUI functionalities, and all modules are provided in a way that will serve both intellectual curiosity and professional needs. The examples that are used as part of the software, and the tutorials included in the book, will serve as a solid basis for your own experiments. What You'll Learn Use the ThMAD software, all GUI functionalities, and all modules Develop your own audio visualization projects Explore the program operations for ThMAD Artiste and ThMAD Player, including all possible options for controlling program operations. Who This Book Is For Visual artists with some IT background, or developers with artistic inclinations. Development experience is not required, but surely helpful.

In den letzten Jahren hat sich der Workshop "Bildverarbeitung fur die Medizin" durch erfolgreiche Veranstaltungen etabliert. Ziel ist auch 2017 wieder die Darstellung aktueller Forschungsergebnisse und die Vertiefung der Gesprache zwischen Wissenschaftlern, Industrie und Anwendern. Die Beitrage dieses Bandes - einige davon in englischer Sprache - umfassen alle Bereiche der medizinischen Bildverarbeitung, insbesondere Bildgebung und -akquisition, Maschinelles Lernen, Bildsegmentierung und Bildanalyse, Visualisierung und Animation, Zeitreihenanalyse, Computerunterstutzte Diagnose, Biomechanische Modellierung, Validierung und Qualitatssicherung, Bildverarbeitung in der Telemedizin u.v.m.

This three volume set, CCIS 771, 772, 773, constitutes the refereed proceedings of the CCF Chinese Conference on Computer Vision, CCCV 2017, held in Tianjin, China, in October 2017. The total of 174 revised full papers presented in three volumes were carefully reviewed and selected from 465 submissions. The papers are organized in the following topical sections: biological vision inspired visual method; biomedical image analysis; computer vision applications; deep neural network; face and posture analysis; image and video retrieval; image color and texture; image composition; image quality assessment and analysis; image restoration; image segmentation and classification; image-based modeling; object detection and classification; object identification; photography and video; robot vision; shape representation and matching; statistical methods and learning; video analysis and event recognition; visual salient detection

This three volume set, CCIS 771, 772, 773, constitutes the refereed proceedings of the CCF Chinese Conference on Computer Vision, CCCV 2017, held in Tianjin, China, in October 2017. The total of 174 revised full papers presented in three volumes were carefully reviewed and selected from 465 submissions. The papers are organized in the following topical sections: biological vision inspired visual method; biomedical image analysis; computer vision applications; deep neural network; face and posture analysis; image and video retrieval; image color and texture; image composition; image quality assessment and analysis; image restoration; image segmentation and classification; image-based modeling; object detection and classification; object identification; photography and video; robot vision; shape representation and matching; statistical methods and learning; video analysis and event recognition; visual salient detection.

This book constitutes the refereed proceedings of the 13th International Conference on Pattern Recognition and Information Processing, PRIP 2016, held in Minsk, Belarus, in October 2016. The 18 revised full papers presented were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections on summarizing lectures; pattern recognition and image analysis; information processing and applications.

A common feature of many approaches to modeling sensory statistics is an emphasis on capturing the "average." From early representations in the brain, to highly abstracted class categories in machine learning for classification tasks, central-tendency models based on the Gaussian distribution are a seemingly natural and obvious choice for modeling sensory data. However, insights from neuroscience, psychology, and computer vision suggest an alternate strategy: preferentially focusing representational resources on the extremes of the distribution of sensory inputs. The notion of treating extrema near a decision boundary as features is not necessarily new, but a comprehensive statistical theory of recognition based on extrema is only now just emerging in the computer vision literature. This book begins by introducing the statistical Extreme Value Theory (EVT) for visual recognition. In contrast to central-tendency modeling, it is hypothesized that distributions near decision boundaries form a more powerful model for recognition tasks by focusing coding resources on data that are arguably the most diagnostic features. EVT has several important properties: strong statistical grounding, better modeling accuracy near decision boundaries than Gaussian modeling, the ability to model asymmetric decision boundaries, and accurate prediction of the probability of an event beyond our experience. The second part of the book uses the theory to describe a new class of machine learning algorithms for decision making that are a measurable advance beyond the state-of-the-art. This includes methods for post-recognition score analysis, information fusion, multi-attribute spaces, and calibration of supervised machine learning algorithms.

Explore the approach, techniques, and mindshift needed to design truly breakthrough experiences for the Microsoft HoloLens and Windows Mixed Reality platform. Learn what's so different about working with holograms, how to think spatially, and where to start designing your own holographic projects. You'll move rapidly from initial concept to persuasive prototype-all without the need for expensive tools or a designer's skill set. Designing for mixed reality is a completely new experience for everyone involved, and takes some experimentation to get right. You won't nail your first mixed reality project by relying upon your previous mobile or web design expertise as a guide. Mixed reality requires a different kind of design thinking for its unique challenges. Breakthrough holographic design starts with envisioning-the act of visualizing what could be. By rapidly depicting a desired experience and trying out its real-world interactions, you can quickly turn your initial vision into a tangible example of innovative design. Envisioning Holograms digs into why holographic computing is the future, takes you through the mixed reality design process, and gets you ready to take advantage of its endless opportunities. Praise for the Book "Envisioning Holograms is a guidebook for designing our holographic future. You'll find the processes, techniques, and production tools needed to design immersive products that will change how we work, play and communicate." - Tony Parisi, Global Head of AR/VR for Unity. Industry legend. "Just as the pioneering work of E.S. Porter helped define a new language for cinematic storytelling at the dawn of motion pictures, Envisioning Holograms provides us with the missing vocabulary and grammar to help define a new design language for this world-changing medium of Mixed Reality." - Ori Inbar, Founder and Managing Partner for Super Ventures, an AR/VR fund. "An exceptional introduction to a new way of thinking about software. Envisioning Holograms is approachable to people just starting out, and also provides some excellent bits of insight to veterans that can help influence their creative process." - Lucas Rizzotto, award-winning creator of Mixed Reality experiences. "Envisioning Holograms is the perfect book for VR/AR/MR studios that are struggling with application design. It is filled with strategies to acquire ideas, develop and iterate through scenes, and find the best fit. I highly recommend this book to anyone wanting to create solid user experiences using 3D interfaces and spatial computing." - Rick King, authority on the latest trends in AR, VR, and MR development. What You'll Learn Understand what makes mixed reality a challenging design space See how envisioning quickly and persuasively brings ideas to life Get to know your audience, medium, and palette Explore several innovative rapid envisioning techniques Identify the key elements of your own holographic experience Design an engaging holographic experience from start to finish Who This Book Is For While aimed at those designing for Microsoft HoloLens and the Windows Holographic tool kit, the techniques in the book are equally applicable to those designing for other holographic hardware. This book is for the designer who is new to thinking in 3D and wants to quickly learn best practices, and the developer who needs to do design work while building exciting new products for Microsoft HoloLens, and the marketer who has a great story to tell in this exciting new medium of mixed reality.

This book constitutes the refereed proceedings of the 4th Chinese Conference, IVS 2016, held in Beijing, China, in October 2016. The 19 revised full papers presented were carefully reviewed and selected from 45 submissions. The papers are organized in topical sections on low-level preprocessing, surveillance systems; tracking, robotics; identification, detection, recognition; behavior, activities, crowd analysis.

The Shroud of Turin is the most important and studied relic in the world. The many scientific studies on the relic until today have failed to provide conclusive answers about the identity of the enveloped man and the dynamics regarding the image impressed therein. This book not only addresses these issues in a scientific and objective manner but also leads the reader through new search paths. In the second edition, besides including some of the most recent findings on the Shroud, the authors follow the many tips and comments received from readers. The Shroud's dating by means of alternative methods has not been free from controversies, some of which have even implied the non-authenticity of the Shroud's samples tested. So the authors duly expand Chapter 7 to include the proof of the origin of the samples used in the recent scientific research and also address the provenance and the path of the original sample. Furthermore, a new section contains a personal interview with the authors that is the result of the interesting and praiseworthy work of a Bavarian high school student. Although there are many books on the subject, none contains such a formidable quantity of scientific news and reports. Unique in its genre, this book is a powerful tool for those who want to study the Turin Shroud deeply.

This book constitutes the refereed proceedings of the 6th International Workshop on Representations, Analysis and Recognition of Shape and Motion from Imaging Data, RFMI 2016, held in Sidi Bou Said Village, Tunisia, in October 2016. The 9 revised full papers and 7 revised short papers presented were carefully reviewed and selected from 23 submissions. The papers are organized in topical sections on 3D shape registration and comparison; face analysis and recognition; video and motion analysis; 2D shape analysis.

This graduate textbook explains image geometry, and elaborates on image enhancement in spatial and frequency domain, unconstrained and constrained restoration and restoration from projection, and discusses various coding technologies such as predictive coding and transform coding. Rich in examples and exercises, it prepares electrical engineering and computer science students for further studies on image analysis and understanding.

This graduate textbook explains image reconstruction technologies based on region-based binocular and trinocular stereo vision, and object, pattern and relation matching. It further discusses principles and applications of multi-sensor fusion and content-based retrieval. Rich in examples and excises, the book concludes image engineering studies for electrical engineering and computer science students.

This edited volume contains technical contributions in the field of computer vision and image processing presented at the First International Conference on Computer Vision and Image Processing (CVIP 2016). The contributions are thematically divided based on their relation to operations at the lower, middle and higher levels of vision systems, and their applications. The technical contributions in the areas of sensors, acquisition, visualization and enhancement are classified as related to low-level operations. They discuss various modern topics - reconfigurable image system architecture, Scheimpflug camera calibration, real-time autofocusing, climate visualization, tone mapping, super-resolution and image resizing. The technical contributions in the areas of segmentation and retrieval are classified as related to mid-level operations. They discuss some state-of-the-art techniques - non-rigid image registration, iterative image partitioning, egocentric object detection and video shot boundary detection. The technical contributions in the areas of classification and retrieval are categorized as related to high-level operations. They discuss some state-of-the-art approaches - extreme learning machines, and target, gesture and action recognition. A non-regularized state preserving extreme learning machine is presented for natural scene classification. An algorithm for human action recognition through dynamic frame warping based on depth cues is given. Target recognition in night vision through convolutional neural network is also presented. Use of convolutional neural network in detecting static hand gesture is also discussed. Finally, the technical contributions in the areas of surveillance, coding and data security, and biometrics and document processing are considered as applications of computer vision and image processing. They discuss some contemporary applications. A few of them are a system for tackling blind curves, a quick reaction target acquisition and tracking system, an algorithm to detect for copy-move forgery based on circle block, a novel visual secret sharing scheme using affine cipher and image interleaving, a finger knuckle print recognition system based on wavelet and Gabor filtering, and a palmprint recognition based on minutiae quadruplets.

1. Provides the fundamentals of subpixel mapping technology and its applications. 2. Discusses in detail the advantages of using different subpixel mapping techniques based on remote sensing data. 3. Summarizes in a systematic way current subpixel location methods. 4. Highlights authors' achievements in subpixel mapping technology. 5. Includes case studies based on remote sensing data from USA, Italy, China, and Cambodia.

The two-volume set CCIS 662 and CCIS 663 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition, CCPR 2016, held in Chengdu, China, in November 2016.The 121 revised papers presented in two volumes were carefully reviewed and selected from 199 submissions. The papers are organized in topical sections on robotics; computer vision; basic theory of pattern recognition; image and video processing; speech and language; emotion recognition.

This two-volume set CCIS 751 and CCIS 752 constitutes the proceedings of the 17th Asia Simulation Conference, AsiaSim 2017, held in Malacca, Malaysia, in August/September 2017. The 124 revised full papers presented in this two-volume set were carefully reviewed and selected from 267 submissions. The papers contained in these proceedings address challenging issues in modeling and simulation in various fields such as embedded systems; symbiotic simulation; agent-based simulation; parallel and distributed simulation; high performance computing; biomedical engineering; big data; energy, society and economics; medical processes; simulation language and software; visualization; virtual reality; modeling and Simulation for IoT; machine learning; as well as the fundamentals and applications of computing.

This unique text/reference presents a comprehensive review of the state of the art in sparse representations, modeling and learning. The book examines both the theoretical foundations and details of algorithm implementation, highlighting the practical application of compressed sensing research in visual recognition and computer vision. Topics and features: describes sparse recovery approaches, robust and efficient sparse representation, and large-scale visual recognition; covers feature representation and learning, sparsity induced similarity, and sparse representation and learning-based classifiers; discusses low-rank matrix approximation, graphical models in compressed sensing, collaborative representation-based classification, and high-dimensional nonlinear learning; includes appendices outlining additional computer programming resources, and explaining the essential mathematics required to understand the book.

This full color book is a comprehensive visual reference for the interpretation of synthetic aperture radar (SAR) images with examples of how technological specifications may affect interpretation solutions. It contains a summary review of image acquisition parameters of consequence on the visual representation of objects, introduces traditional interpretation keys under different light and applies them for considering regional landscape components and identifying large-scale geographical ensembles. Through elements of interpretation such as the construct of tone, texture, pattern, size, and shape, the book explains the rich unique context of many terrains. It provides also several SAR X- and C-band image examples of regional and large-scale land use and land cover (LULC) ensembles, includes important explanations for each illustration, and highlights selected SAR image applications. Ancillary information includes acquisition specifications, a geographic scale, and the image-center latitude and longitude. Features: Provides ready access to any type of information for an image interpretation problem related to current LULC classification schemes. Presents scalable geographic information interpreted at a regional scale and land cover ensembles that can also be interpreted locally. Provides comparative examples of images acquired from X- and C-band, opposed look directions, near- and far-range incidence angles, like- and cross-polarization modes. Includes practical explanations easily transferred to individual's research projects. Designed as "visual dictionary," SAR Image Interpretation for Various Land Covers: A Practical Guide, is an excellent introduction to the visual interpretation of SAR images for numerous types of LULC. Both practitioners and students will familiarize themselves with and expand their knowledge of geographic information conveyed from radar images while government agencies and businesses that use LULC-related data for emergency response cases of for urban and regional planning, will find this book invaluable.