Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

In order to build successful video processing systems, it is important to consider not only traditional image processing methods, but also techniques which account for temporal aspects. This Introduction to Video and Image Processing presents the fundamental concepts and methods in an unique, easy-to-read style which ensures the material is accessible to a wide audience. Exploring more than just the basics of image processing, the text provides a specific focus on the practical design and implementation of real systems for processing video data. Topics and features: Includes more than 100 exercises, as well as C-code snippets of the key algorithms Equips the reader with a solid foundation for understanding and working with images and video, including basic methods for image manipulation and image analysis Covers topics on image acquisition, color images, point processing, neighborhood processing, morphology, BLOB analysis, segmentation in video, tracking, geometric transformation, and visual effects Requires only a minimal understanding of mathematics Presents two chapters dedicated to applications, in which the different methods are applied in real systems, supported by further application examples at an associated website Provides a guide to defining suitable values for parameters in video and image processing systems, and to conversion between the RGB color representation and the HIS, HSV and YUV/YCbCr color representations This concise and easy-to-follow textbook/reference is an ideal introduction to the subject for both first-year engineering students and for non-engineering students without a strong mathematical background. Suitable for self-study, professionals outside of the field will also find the work an excellent overview of the basics.

Optical data processing. --- Pattern recognition. --- Multimedia information systems. --- User interfaces (Computer systems). --- Multimedia systems . --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Computer-based multimedia information systems --- Multimedia computing --- Multimedia information systems --- Multimedia knowledge systems --- Information storage and retrieval systems --- Interfaces, User (Computer systems) --- Human-machine systems --- Human-computer interaction --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Human sciences (algemeen) --- Journalism --- Mathematical statistics --- Computer. Automation --- patroonherkenning --- beeldverwerking --- factoranalyse --- image processing --- informatica --- media --- multimedia --- sociale wetenschappen

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

In order to build successful video processing systems, it is important to consider not only traditional image processing methods, but also techniques which account for temporal aspects. This Introduction to Video and Image Processing presents the fundamental concepts and methods in an unique, easy-to-read style which ensures the material is accessible to a wide audience. Exploring more than just the basics of image processing, the text provides a specific focus on the practical design and implementation of real systems for processing video data. Topics and features: Includes more than 100 exercises, as well as C-code snippets of the key algorithms Equips the reader with a solid foundation for understanding and working with images and video, including basic methods for image manipulation and image analysis Covers topics on image acquisition, color images, point processing, neighborhood processing, morphology, BLOB analysis, segmentation in video, tracking, geometric transformation, and visual effects Requires only a minimal understanding of mathematics Presents two chapters dedicated to applications, in which the different methods are applied in real systems, supported by further application examples at an associated website Provides a guide to defining suitable values for parameters in video and image processing systems, and to conversion between the RGB color representation and the HIS, HSV and YUV/YCbCr color representations This concise and easy-to-follow textbook/reference is an ideal introduction to the subject for both first-year engineering students and for non-engineering students without a strong mathematical background. Suitable for self-study, professionals outside of the field will also find the work an excellent overview of the basics.

Human sciences (algemeen) --- Journalism --- Mathematical statistics --- Computer. Automation --- patroonherkenning --- beeldverwerking --- factoranalyse --- image processing --- informatica --- media --- multimedia --- sociale wetenschappen

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The first book of its kind devoted to this topic, this comprehensive text/reference presents state-of-the-art research and reviews current challenges in the application of computer vision to problems in sports. Opening with a detailed introduction to the use of computer vision across the entire life-cycle of a sports event, the text then progresses to examine cutting-edge techniques for tracking the ball, obtaining the whereabouts and pose of the players, and identifying the sport being played from video footage. The work concludes by investigating a selection of systems for the automatic analysis and classification of sports play. Topics and features: Describes the latest research into ball tracking, addressing the challenges posed by the presence of occlusions and the use of only a small number of cameras Reviews various systems for player tracking and pose estimation Presents approaches for the improved generation of statistics and synthesis of virtual views Explores the “higher level” analysis of sports, from identifying types of sports to recognizing particular team behaviors based on multiple event or motion detections Discusses the detection of specific kinds of events for automatic highlights generation or searching of video archives The insights provided by this pioneering collection will be of great interest to researchers and practitioners involved in computer vision, sports analysis and media production. Prof. Thomas B. Moeslund is Head of Media Technology, Aalborg, and Head of the Visual Analysis of People Lab at Aalborg University, Denmark. Dr. Graham Thomas leads the Immersive and Interactive Content team at BBC Research & Development, London, UK. Prof. Adrian Hilton is Director of the Centre for Vision, Speech and Signal Processing at the University of Surrey, Guildford, UK.

Social sciences (general) --- Demography --- Computer science --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- computervisie --- beeldverwerking --- analytische chemie --- biochemie --- computers --- informatica --- sociale wetenschappen --- KI (kunstmatige intelligentie) --- computerkunde --- robots

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Activity Monitoring by Multiple Distributed Sensing, AMMDS 2014, held in Stockholm, Sweden, in August 2014, as a satellite event of ICPR 2014, the 22nd International Conference on Pattern Recognition. The 9 revised full papers included in the volume investigate the challenges that arise when distributed sensor networks are used to track, monitor, and understand the activity, intent, and motives of human beings. Application areas include human-computer interaction, user interface design, robot learning, and surveillance.

Computer science. --- Computer communication systems. --- Software engineering. --- Algorithms. --- Artificial intelligence. --- Pattern recognition. --- Computer Science. --- Computer Communication Networks. --- Information Systems Applications (incl. Internet). --- Artificial Intelligence (incl. Robotics). --- Algorithm Analysis and Problem Complexity. --- Software Engineering. --- Pattern Recognition. --- Computer software. --- Optical pattern recognition. --- Artificial Intelligence. --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Software, Computer --- Computer systems --- Computer software engineering --- Engineering --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Sensor networks --- Application software. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Algorism --- Algebra --- Arithmetic --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Network computers --- Foundations --- Distributed processing --- Xarxes de sensors --- Intel·ligència artificial --- Xarxes d'ordinadors --- Enginyeria d'ordinadors --- Ciència cognitiva --- Mètodes de simulació --- Processament de dades --- Sistemes autoorganitzatius --- Aprenentatge automàtic --- Demostració automàtica de teoremes --- Intel·ligència artificial distribuïda --- Intel·ligència computacional --- Sistemes adaptatius --- Tractament del llenguatge natural (Informàtica) --- Raonament qualitatiu --- Representació del coneixement (Teoria de la informació) --- Sistemes de pregunta i resposta --- Traducció automàtica --- Visió per ordinador --- Xarxes neuronals (Informàtica) --- Xarxes semàntiques (Teoria de la informació) --- Agents intel·ligents (Programes d'ordinador) --- Programació per restriccions --- Vida artificial --- Xarxes de sensors (Tecnologia) --- Xarxes de detectors --- Detectors --- Construcció d'ordinadors --- Disseny d'ordinadors --- Arquitectura d'ordinadors --- Sistemes de comunicació d'ordinadors --- Xarxes de comunicació electròniques --- Xarxes informàtiques --- Autopistes de la informació --- Xarxes de comunicacions --- Comunitats virtuals --- Encaminadors (Xarxes d'ordinadors) --- Extranets (Xarxes d'ordinadors) --- Internet de les coses --- Interoperabilitat en xarxes d'ordinadors --- Microsoft .NET --- Protocols de xarxes d'ordinadors --- Sistemes de taulers d'anuncis --- Xarxes d'àrea extensa (Xarxes d'ordinadors) --- Xarxes locals (Ordinadors) --- Gestió de xarxes d'ordinadors --- Processament distribuït de dades --- Xarxes socials en línia