Image processing

This two-volume set LNCS 13317 and 13318 constitutes the thoroughly refereed proceedings of the 14th International Conference on Virtual, Augmented and Mixed Reality, VAMR 2022, held virtually as part of the 24rd HCI International Conference, HCII 2022, in June/July 2022.

As the first book of a three-part series, this book is offered as a tribute to pioneers in vision, such as Bela Julesz, David Marr, King-Sun Fu, Ulf Grenander, and David Mumford.

This book constitutes the proceedings of the 25th RoboCup International Symposium which was held online during July 2022 in Bangkok, Thailand.

This book focuses on advanced techniques used for feature extraction, analysis, recognition, and classification in the area of biomedical signal and image processing.

Im Buch wird im Kontext individueller Rezipientenpartizipation und Nutzerimmersion erläutert, welche Wahrnehmungsaspekte der performativen Raumbildung immanent sind und warum integratives Inszenieren sie effektiver macht.

This book covers recent advances in artificial intelligence, smart computing, and their applications in augmenting medical and health care systems.

Computer vision and image analysis are indispensable components of every automated environment.

Computer vision and image analysis are indispensable components of every automated environment.

This book covers recent advances in artificial intelligence, smart computing, and their applications in augmenting medical and health care systems.

This book covers both the mathematics of inverse problems and optical systems design, and includes a review of the mathematical methods and Fourier optics.

The conference proceedings book is a collection of high-quality research articles in the field of intelligent vision and computing.

This book aims to share the theory and practice in innovative human/society-oriented information systems.

Simultaneous Localization and Mapping (SLAM) has been a long-standing research problem in robotics.

Graph Based Multimedia Analysis applies concepts from graph theory to the problems of analyzing overabundant video data.

Volume II of the Six Volume Remote Sensing Handbook, Second Edition, is focused on digital image processing including image classification methods in land cover and land use.

This book explores the interdisciplinary nature of machine learning in multimedia, highlighting its intersections with fields such as computer vision, natural language processing, and audio signal processing.

Group and Crowd Behavior for Computer Vision provides a multidisciplinary perspective on how to solve the problem of group and crowd analysis and modeling, combining insights from the social sciences with technological ideas in computer vision and pattern recognition.

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.

Academic Press Library in Signal Processing, Volume 6: Image and Video Processing and Analysis and Computer Vision is aimed at university researchers, post graduate students and R&D engineers in the industry, providing a tutorial-based, comprehensive review of key topics and technologies of research in both image and video processing and analysis and computer vision.

Exclusively from McGraw-Hill Professional and InfoComm International, this exam guide covers the latest Certified Technology Specialist Design exam for AV professionals.

Explainable machine learning (XML), a subfield of AI, is focused on making complex AI models understandable to humans.

To enhance the overall viewing experience (for cinema, TV, games, AR/VR) the media industry is continuously striving to improve image quality.

Cardiovascular and Coronary Artery Imaging, Volume Two presents the basics of echocardiography, nuclear imaging and magnetic resonance imaging (MRI) and provides insights into their appropriate use.

Neutrosophic Set in Medical Image Analysis gives an understanding of the concepts of NS, along with knowledge on how to gather, interpret, analyze and handle medical images using NS methods.

The rapid development of artificial intelligence technology in medical data analysis has led to the concept of radiomics.

Advances in Computational Techniques for Biomedical Image Analysis: Methods and Applications focuses on post-acquisition challenges such as image enhancement, detection of edges and objects, analysis of shape, quantification of texture and sharpness, and pattern analysis.

A game designer considers the experience of play, why games have rules, and the relationship of play and narrative.

Meta-Learning, or learning to learn, has become increasingly popular in recent years.

Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications.

This revised and expanded edition of Encyclopedia of Database Systems provides easy access to crucial concepts relevant to all aspects of very large databases, data management, and database systems, including areas of current interest and research results of historical significance.

This encyclopedia provides a comprehensive reference to topics in biometrics including concepts, modalities, algorithms, devices, systems, security, performance testing, applications and standardization.

Get to grips with deep learning techniques for building image processing applications using PyTorch with the help of code notebooks and test questionsKey FeaturesImplement solutions to 50 real-world computer vision applications using PyTorchUnderstand the theory and working mechanisms of neural network architectures and their implementationDiscover best practices using a custom library created especially for this bookBook DescriptionDeep learning is the driving force behind many recent advances in various computer vision (CV) applications.

A practical guide to building high performance systems for object detection, segmentation, video processing, smartphone applications, and moreKey FeaturesDiscover how to build, train, and serve your own deep neural networks with TensorFlow 2 and KerasApply modern solutions to a wide range of applications such as object detection and video analysisLearn how to run your models on mobile devices and web pages and improve their performanceBook DescriptionComputer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics.

This book constitutes the proceedings of the 32nd Australasian Joint Conference on Artificial Intelligence, AI 2019, held in Adelaide, SA, Australia, in December 2019.

This book constitutes the proceedings of the 15th IFIP International Conference on Network and Parallel Computing, NPC 2018, held in Muroran, Japan, in November/December 2018.

This book constitutes the extended abstracts of the posters presented during the 21st International Conference on Human-Computer Interaction, HCII 2019, which took place in Orlando, Florida, in July 2019.

This book focuses on enabling mobile robots to recognize scenes in indoor environments, in order to allow them to determine which actions are appropriate at which points in time.

This book constitutes the refereed proceedings of the 21st International Conference on Asia-Pacific Digital Libraries, ICADL 2019, held in Kuala Lumpur, Malaysia, in November 2019.

This book constitutes the refereed proceedings of the 27th International Symposium on Graph Drawing and Network Visualization, GD 2019, held in Prague, Czech Republic, in September 2019.

This book constitutes the refereed proceedings of the 4th ECML PKDD Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2019, held in Wurzburg, Germany, in September 2019.

This book constitutes the refereed proceedings of the 7th International Conference on Pervasive Computing Paradigms for Mental Health, MindCare 2018, held in Boston, MA, USA, Jin January 2018.

This volume offers a unique and accessible overview of the most active fields in Stochastic Geometry, up to the frontiers of recent research.

This book constitutes the refereed joint proceedings of the First International Workshop on Smart Ultrasound Imaging, SUSI 2019, and the 4th International Workshop on Preterm, Perinatal and Paediatric Image Analysis, PIPPI 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019.

This two-volume set LNCS 12131 and LNCS 12132 constitutes the refereed proceedings of the 17th International Conference on Image Analysis and Recognition, ICIAR 2020, held in Povoa de Varzim, Portugal, in June 2020.

This two-volume set constitutes the proceedings of the 13th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2019, held as part of the 21st International Conference, HCI International 2019, which took place in Orlando, FL, USA, in July 2019.

This book provides an in-depth investigation on the psychological phenomenon "e;reactance"e; in the context of Human-Computer Interaction (HCI).

This book constitutes the proceedings of the Third Workshop on Face and Facial Expression Recognition from Real World Videos, FFER 2018, and the Second International Workshop on Deep Learning for Pattern Recognition, DLPR 2018, held at the 24th International Conference on Pattern Recognition, ICPR 2018, in Beijing, China, in August 2018.

This book constitutes the refereed conference proceedings of the 12th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2018, held in Hanoi, Vietnam, in November 2018.

This book constitutes the refereed proceedings of the 12th International Conference on Brain Informatics, BI 2019, held in Haikou, China, in December 2019.