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Proceedings Of The Workshop On Image And Multidimensional Signal Processing
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Book Synopsis New Approaches for Multidimensional Signal Processing by : Roumen Kountchev
Download or read book New Approaches for Multidimensional Signal Processing written by Roumen Kountchev and published by Springer Nature. This book was released on with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Image Processing for Remote Sensing by : C.H. Chen
Download or read book Image Processing for Remote Sensing written by C.H. Chen and published by CRC Press. This book was released on 2007-10-17 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: Edited by leaders in the field, with contributions by a panel of experts, Image Processing for Remote Sensing explores new and unconventional mathematics methods. The coverage includes the physics and mathematical algorithms of SAR images, a comprehensive treatment of MRF-based remote sensing image classification, statistical approaches for
Book Synopsis Signal Processing, Image Processing and Pattern Recognition, by : Dominik Slezak
Download or read book Signal Processing, Image Processing and Pattern Recognition, written by Dominik Slezak and published by Springer Science & Business Media. This book was released on 2009-11-24 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: As future generation information technology (FGIT) becomes specialized and fr- mented, it is easy to lose sight that many topics in FGIT have common threads and, because of this, advances in one discipline may be transmitted to others. Presentation of recent results obtained in different disciplines encourages this interchange for the advancement of FGIT as a whole. Of particular interest are hybrid solutions that c- bine ideas taken from multiple disciplines in order to achieve something more signi- cant than the sum of the individual parts. Through such hybrid philosophy, a new principle can be discovered, which has the propensity to propagate throughout mul- faceted disciplines. FGIT 2009 was the first mega-conference that attempted to follow the above idea of hybridization in FGIT in a form of multiple events related to particular disciplines of IT, conducted by separate scientific committees, but coordinated in order to expose the most important contributions. It included the following international conferences: Advanced Software Engineering and Its Applications (ASEA), Bio-Science and Bio-Technology (BSBT), Control and Automation (CA), Database Theory and Application (DTA), D- aster Recovery and Business Continuity (DRBC; published independently), Future G- eration Communication and Networking (FGCN) that was combined with Advanced Communication and Networking (ACN), Grid and Distributed Computing (GDC), M- timedia, Computer Graphics and Broadcasting (MulGraB), Security Technology (SecTech), Signal Processing, Image Processing and Pattern Recognition (SIP), and- and e-Service, Science and Technology (UNESST).
Book Synopsis Document and Image Compression by : Mauro Barni
Download or read book Document and Image Compression written by Mauro Barni and published by CRC Press. This book was released on 2018-10-08 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although it's true that image compression research is a mature field, continued improvements in computing power and image representation tools keep the field spry. Faster processors enable previously intractable compression algorithms and schemes, and certainly the demand for highly portable high-quality images will not abate. Document and Image Compression highlights the current state of the field along with the most probable and promising future research directions for image coding. Organized into three broad sections, the book examines the currently available techniques, future directions, and techniques for specific classes of images. It begins with an introduction to multiresolution image representation, advanced coding and modeling techniques, and the basics of perceptual image coding. This leads to discussions of the JPEG 2000 and JPEG-LS standards, lossless coding, and fractal image compression. New directions are highlighted that involve image coding and representation paradigms beyond the wavelet-based framework, the use of redundant dictionaries, the distributed source coding paradigm, and novel data-hiding techniques. The book concludes with techniques developed for classes of images where the general-purpose algorithms fail, such as for binary images and shapes, compound documents, remote sensing images, medical images, and VLSI layout image data. Contributed by international experts, Document and Image Compression gathers the latest and most important developments in image coding into a single, convenient, and authoritative source.
Book Synopsis Intelligent Multidimensional Data Clustering and Analysis by : Bhattacharyya, Siddhartha
Download or read book Intelligent Multidimensional Data Clustering and Analysis written by Bhattacharyya, Siddhartha and published by IGI Global. This book was released on 2016-11-29 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining analysis techniques have undergone significant developments in recent years. This has led to improved uses throughout numerous functions and applications. Intelligent Multidimensional Data Clustering and Analysis is an authoritative reference source for the latest scholarly research on the advantages and challenges presented by the use of cluster analysis techniques. Highlighting theoretical foundations, computing paradigms, and real-world applications, this book is ideally designed for researchers, practitioners, upper-level students, and professionals interested in the latest developments in cluster analysis for large data sets.
Book Synopsis Video Error Concealment Techniques for Multi-Broadcast Reception of Digital TV by : Tobias Tröger
Download or read book Video Error Concealment Techniques for Multi-Broadcast Reception of Digital TV written by Tobias Tröger and published by Cuvillier Verlag. This book was released on 2012-10-02 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract The transmission of digital TV signals to mobile receivers is often error-prone. As most TV broadcasting techniques provide only moderate error robustness, horizontal lines of consecutive image blocks are lost during decoding of the received video signals. In order to ensure high viewing experiences, these lost slices have to be filled by error concealment techniques. However, the reconstruction qualities of classical approaches which exploit spatial, temporal, or spatio-temporal signal correlations are not convincing yet. In the future, mobile TV receivers will support different broadcasting techniques in parallel. As a result, an erroneous high-resolution video signal and a correctly received low-resolution video signal, both representing the same TV service, will often be available. Focusing on the outlined scenario for multi-broadcast reception of digital TV signals, this thesis introduces the novel category of inter-sequence error concealment algorithms. The basic idea is to fill lost slices of the high-resolution video signal by the interpolated low-resolution video signal. Since the images of this reference signal are often cropped and delayed, robust spatio-temporal image alignment is crucial. By including a pixel-based or a feature-based alignment scheme, the proposed concealment algorithms provide excellent visual qualities and outstanding reconstruction qualities of up to 41 dB PSNR. Classical concealment techniques are outperformed by up to 15 dB PSNR. To further enhance the reconstruction quality, several extensions are introduced. First, the alignment robustness and the interpolation quality are increased. Subsequently, a classical temporal approach is incorporated as an alternative concealment mode to cope with low image qualities of the reference signal. Novel aspects include robust mode selection, enhanced motion estimation, and the reconstruction of the displaced frame differences from the reference signal. As a last extension, spatial refinement tackles blurring of concealed image blocks. Missing spectral components are recovered in a frequency selective way based on approximation and extrapolation principles. By combining all relevant extensions, the PSNR gain adds up to 20 dB with respect to classical concealment. Finally, inter-sequence error concealment is adapted to multi-broadcast reception of two erroneous high-resolution video signals. While spatial alignment can be omitted, classical concealment of blocks, being lost in both video signals, and drift compensation in predictively-coded frames are novel aspects. Again, high visual qualities are obtained and classical concealment is outperformed by up to 15 dB PSNR. Zusammenfassung Der Empfang digitaler Fernsehsignale mit mobilen Endgeräten wird meist durch Übertragungsfehler gestört. Da viele der eingesetzten Übertragungsstandards nur unzureichende Korrekturmechanismen bieten, können bei der Decodierung der empfangenen Videosignale Blockzeilenverluste auftreten. Um die Verlustgebiete zu verschleiern, werden üblicherweise zeitliche, örtliche oder zeitlich-örtliche Signalkorrelationen ausgenutzt. Die dabei erzielte Rekonstruktionsqualität ist jedoch häufig nicht zufriedenstellend. Zukünftig werden mobile Fernsehempfänger mehrere Übertragungsstandards parallel unterstützen. Durch den Einsatz dieser Mehrfachempfänger ist jedes Fernsehprogramm typischerweise in Form eines gestörten, hochauflösenden Videosignals und eines ungestörten, niedrigauflösenden Videosignals verfügbar. Ausgehend vom Mehrfachempfang digitaler Fernsehsignale wird in dieser Arbeit eine neue Gruppe von Verfahren zur Fehlerverschleierung beschrieben. Die grundlegende Idee dieser Ansätze besteht darin, verlorene Bildblöcke des hochauflösenden Videosignals durch Blöcke des interpolierten niedrigauflösenden Referenzsignals zu ersetzen. Da das Referenzsignal häufig nur Bildausschnitte zeigt und zudem meist zeitverzögert eintrifft, ist die korrekte Bestimmung der örtlichen Abbildungsparameter und des zeitlichen Versatzes ausschlaggebend für eine hochqualitative Verschleierung. Durch den Einsatz bildbasierter oder merkmalsbasierter Schätzverfahren werden eine exzellente visuelle Bildqualität und eine außergewöhnlich hohe Rekonstruktionsqualität erzielt. Der Spitzensignal-Rauschabstand beträgt bis zu 41 dB. Herkömmliche Verfahren werden um bis 15 dB übertroffen. Um die Rekonstruktionsqualität weiter zu erhöhen werden zahlreiche Erweiterungen der beschriebenen Verschleierungsansätze vorgeschlagen. Zuerst werden die Zuverlässigkeit der Parameterschätzung und die Interpolationsqualität verbessert. Danach wird ein herkömmliches zeitliches Verschleierungsverfahren integriert, um eine niedrige Bildqualität des Referenzsignals zu kompensieren. Neue Aspekte sind dabei die robuste Wahl des besseren Verschleierungsmodus, eine verbesserte Bewegungsschätzung und die Rekonstruktion des Prädiktionsfehlers unter Verwendung des Referenzsignals. Zuletzt wird die Bildschärfe bereits verschleierter Blöcke erhöht. Dazu werden fehlende Spektralanteile basierend auf frequenzselektiven Approximations- oder Extrapolationsansätzen wiederhergestellt. Durch die Kombination aller relevanten Erweiterungen wird die Rekonstruktionsqualität herkömmlicher Verfahren um bis zu 20 dB übertroffen. Abschließend werden die beschriebenen Fehlerverschleierungsverfahren an ein Szenario für den Mehrfachempfang digitaler Fernsehsignale angepasst, bei dem zwei fehlerhafte hochauflösende Videosignale verfügbar sind. Während die Schätzung der örtlichen Abbildungsparameter entfällt, müssen Bildblöcke, die in keinem der beiden Videosignale korrekt empfangen wurden, durch herkömmliche Verfahren verschleiert werden. Als weitere Neuerung wird ein Verfahren zur Kompensation des Drifteffekts in prädiktiv codierten Bildern vorgeschlagen. Auch bei diesem Empfangsszenario wird eine hohe visuelle Bildqualität erzielt und die Rekonstruktionsqualität herkömmlicher Verfahren um bis zu 15 dB übertroffen.
Book Synopsis Proceedings of Fourth International Conference on Soft Computing for Problem Solving by : Kedar Nath Das
Download or read book Proceedings of Fourth International Conference on Soft Computing for Problem Solving written by Kedar Nath Das and published by Springer. This book was released on 2014-12-23 with total page 657 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Proceedings of SocProS 2014 serves as an academic bonanza for scientists and researchers working in the field of Soft Computing. This book contains theoretical as well as practical aspects using fuzzy logic, neural networks, evolutionary algorithms, swarm intelligence algorithms, etc., with many applications under the umbrella of ‘Soft Computing’. The book is beneficial for young as well as experienced researchers dealing across complex and intricate real world problems for which finding a solution by traditional methods is a difficult task. The different application areas covered in the Proceedings are: Image Processing, Cryptanalysis, Industrial Optimization, Supply Chain Management, Newly Proposed Nature Inspired Algorithms, Signal Processing, Problems related to Medical and Healthcare, Networking Optimization Problems, etc.
Book Synopsis Mathematical Problems in Image Processing by : Gilles Aubert
Download or read book Mathematical Problems in Image Processing written by Gilles Aubert and published by Springer Science & Business Media. This book was released on 2006-11-30 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: The updated 2nd edition of this book presents a variety of image analysis applications, reviews their precise mathematics and shows how to discretize them. For the mathematical community, the book shows the contribution of mathematics to this domain, and highlights unsolved theoretical questions. For the computer vision community, it presents a clear, self-contained and global overview of the mathematics involved in image procesing problems. The second edition offers a review of progress in image processing applications covered by the PDE framework, and updates the existing material. The book also provides programming tools for creating simulations with minimal effort.
Book Synopsis Intelligent Decision Technologies by : Ireneusz Czarnowski
Download or read book Intelligent Decision Technologies written by Ireneusz Czarnowski and published by Springer Nature. This book was released on 2022-07-26 with total page 591 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected papers from the KES-IDT 2022 Conference, held in Rhodes, Greece on June 20–22, 2022. The book presents and discusses the latest research results and generates new ideas in the field of intelligent decision-making. The range of topics discussed are classification, prediction, data analysis, big data, data science, decision support, knowledge engineering, and modeling in diverse areas such as finance, cybersecurity, economics, health, management, and transportation. The problems in Industry 4.0 and IoT are also addressed. The book contains several sections devoted to specific topics, such as intelligent data processing and its applications, high-dimensional data analysis and its applications, multi-criteria decision analysis—theory and applications, large-scale systems for intelligent decision-making and knowledge engineering, decision technologies and related topics in big data analysis of social and financial issues, and decision-making theory for economics.
Book Synopsis Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging by : Ke Chen
Download or read book Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging written by Ke Chen and published by Springer Nature. This book was released on 2023-02-24 with total page 1981 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook gathers together the state of the art on mathematical models and algorithms for imaging and vision. Its emphasis lies on rigorous mathematical methods, which represent the optimal solutions to a class of imaging and vision problems, and on effective algorithms, which are necessary for the methods to be translated to practical use in various applications. Viewing discrete images as data sampled from functional surfaces enables the use of advanced tools from calculus, functions and calculus of variations, and nonlinear optimization, and provides the basis of high-resolution imaging through geometry and variational models. Besides, optimization naturally connects traditional model-driven approaches to the emerging data-driven approaches of machine and deep learning. No other framework can provide comparable accuracy and precision to imaging and vision. Written by leading researchers in imaging and vision, the chapters in this handbook all start with gentle introductions, which make this work accessible to graduate students. For newcomers to the field, the book provides a comprehensive and fast-track introduction to the content, to save time and get on with tackling new and emerging challenges. For researchers, exposure to the state of the art of research works leads to an overall view of the entire field so as to guide new research directions and avoid pitfalls in moving the field forward and looking into the next decades of imaging and information services. This work can greatly benefit graduate students, researchers, and practitioners in imaging and vision; applied mathematicians; medical imagers; engineers; and computer scientists.
Book Synopsis Motion Analysis and Image Sequence Processing by : M. Ibrahim Sezan
Download or read book Motion Analysis and Image Sequence Processing written by M. Ibrahim Sezan and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: An image or video sequence is a series of two-dimensional (2-D) images sequen tially ordered in time. Image sequences can be acquired, for instance, by video, motion picture, X-ray, or acoustic cameras, or they can be synthetically gen erated by sequentially ordering 2-D still images as in computer graphics and animation. The use of image sequences in areas such as entertainment, visual communications, multimedia, education, medicine, surveillance, remote control, and scientific research is constantly growing as the use of television and video systems are becoming more and more common. The boosted interest in digital video for both consumer and professional products, along with the availability of fast processors and memory at reasonable costs, has been a major driving force behind this growth. Before we elaborate on the two major terms that appear in the title of this book, namely motion analysis and image sequence processing, we like to place them in their proper contexts within the range of possible operations that involve image sequences. In this book, we choose to classify these operations into three major categories, namely (i) image sequence processing, (ii) image sequence analysis, and (iii) visualization. The interrelationship among these three categories is pictorially described in Figure 1 below in the form of an "image sequence triangle".
Book Synopsis Electronic Design Automation for IC System Design, Verification, and Testing by : Luciano Lavagno
Download or read book Electronic Design Automation for IC System Design, Verification, and Testing written by Luciano Lavagno and published by CRC Press. This book was released on 2017-12-19 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first of two volumes in the Electronic Design Automation for Integrated Circuits Handbook, Second Edition, Electronic Design Automation for IC System Design, Verification, and Testing thoroughly examines system-level design, microarchitectural design, logic verification, and testing. Chapters contributed by leading experts authoritatively discuss processor modeling and design tools, using performance metrics to select microprocessor cores for integrated circuit (IC) designs, design and verification languages, digital simulation, hardware acceleration and emulation, and much more. New to This Edition: Major updates appearing in the initial phases of the design flow, where the level of abstraction keeps rising to support more functionality with lower non-recurring engineering (NRE) costs Significant revisions reflected in the final phases of the design flow, where the complexity due to smaller and smaller geometries is compounded by the slow progress of shorter wavelength lithography New coverage of cutting-edge applications and approaches realized in the decade since publication of the previous edition—these are illustrated by new chapters on high-level synthesis, system-on-chip (SoC) block-based design, and back-annotating system-level models Offering improved depth and modernity, Electronic Design Automation for IC System Design, Verification, and Testing provides a valuable, state-of-the-art reference for electronic design automation (EDA) students, researchers, and professionals.
Author :Konstantinos N. Plataniotis Publisher :Springer Science & Business Media ISBN 13 :3662041863 Total Pages :368 pages Book Rating :4.6/5 (62 download)
Book Synopsis Color Image Processing and Applications by : Konstantinos N. Plataniotis
Download or read book Color Image Processing and Applications written by Konstantinos N. Plataniotis and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reporting the state of the art of colour image processing, this monograph fills a gap in the literature on digital signal and image processing. It contains numerous examples and pictures of colour image processing results, plus a library of algorithms implemented in C.
Author :Santiago Aja-Fernández Publisher :Springer Science & Business Media ISBN 13 :1848822995 Total Pages :468 pages Book Rating :4.8/5 (488 download)
Book Synopsis Tensors in Image Processing and Computer Vision by : Santiago Aja-Fernández
Download or read book Tensors in Image Processing and Computer Vision written by Santiago Aja-Fernández and published by Springer Science & Business Media. This book was released on 2009-05-21 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tensor signal processing is an emerging field with important applications to computer vision and image processing. This book presents the state of the art in this new branch of signal processing, offering a great deal of research and discussions by leading experts in the area. The wide-ranging volume offers an overview into cutting-edge research into the newest tensor processing techniques and their application to different domains related to computer vision and image processing. This comprehensive text will prove to be an invaluable reference and resource for researchers, practitioners and advanced students working in the area of computer vision and image processing.
Book Synopsis Encyclopedia of Virtual Communities and Technologies by : Dasgupta, Subhasish
Download or read book Encyclopedia of Virtual Communities and Technologies written by Dasgupta, Subhasish and published by IGI Global. This book was released on 2005-10-31 with total page 620 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This encyclopedia of virtual communities and technologies provides a much needed integrated overview of all the critical concepts, technologies and issues in the area of virtual communities"--Provided by publisher.
Book Synopsis Image and Graphics Technologies and Applications by : Yongtian Wang
Download or read book Image and Graphics Technologies and Applications written by Yongtian Wang and published by Springer. This book was released on 2019-07-19 with total page 741 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 14th Conference on Image and Graphics Technologies and Applications, IGTA 2019, held in Beijing, China in April, 2019. The 66 papers presented were carefully reviewed and selected from 152 submissions. They provide a forum for sharing progresses in the areas of image processing technology; image analysis and understanding; computer vision and pattern recognition; big data mining, computer graphics and VR, as well as image technology applications.
Book Synopsis Computer Vision – ECCV 2022 Workshops by : Leonid Karlinsky
Download or read book Computer Vision – ECCV 2022 Workshops written by Leonid Karlinsky and published by Springer Nature. This book was released on 2023-02-11 with total page 774 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 8-volume set, comprising the LNCS books 13801 until 13809, constitutes the refereed proceedings of 38 out of the 60 workshops held at the 17th European Conference on Computer Vision, ECCV 2022. The conference took place in Tel Aviv, Israel, during October 23-27, 2022; the workshops were held hybrid or online. The 367 full papers included in this volume set were carefully reviewed and selected for inclusion in the ECCV 2022 workshop proceedings. They were organized in individual parts as follows: Part I: W01 - AI for Space; W02 - Vision for Art; W03 - Adversarial Robustness in the Real World; W04 - Autonomous Vehicle Vision Part II: W05 - Learning With Limited and Imperfect Data; W06 - Advances in Image Manipulation; Part III: W07 - Medical Computer Vision; W08 - Computer Vision for Metaverse; W09 - Self-Supervised Learning: What Is Next?; Part IV: W10 - Self-Supervised Learning for Next-Generation Industry-Level Autonomous Driving; W11 - ISIC Skin Image Analysis; W12 - Cross-Modal Human-Robot Interaction; W13 - Text in Everything; W14 - BioImage Computing; W15 - Visual Object-Oriented Learning Meets Interaction: Discovery, Representations, and Applications; W16 - AI for Creative Video Editing and Understanding; W17 - Visual Inductive Priors for Data-Efficient Deep Learning; W18 - Mobile Intelligent Photography and Imaging; Part V: W19 - People Analysis: From Face, Body and Fashion to 3D Virtual Avatars; W20 - Safe Artificial Intelligence for Automated Driving; W21 - Real-World Surveillance: Applications and Challenges; W22 - Affective Behavior Analysis In-the-Wild; Part VI: W23 - Visual Perception for Navigation in Human Environments: The JackRabbot Human Body Pose Dataset and Benchmark; W24 - Distributed Smart Cameras; W25 - Causality in Vision; W26 - In-Vehicle Sensing and Monitorization; W27 - Assistive Computer Vision and Robotics; W28 - Computational Aspects of Deep Learning; Part VII: W29 - Computer Vision for Civil and Infrastructure Engineering; W30 - AI-Enabled Medical Image Analysis: Digital Pathology and Radiology/COVID19; W31 - Compositional and Multimodal Perception; Part VIII: W32 - Uncertainty Quantification for Computer Vision; W33 - Recovering 6D Object Pose; W34 - Drawings and Abstract Imagery: Representation and Analysis; W35 - Sign Language Understanding; W36 - A Challenge for Out-of-Distribution Generalization in Computer Vision; W37 - Vision With Biased or Scarce Data; W38 - Visual Object Tracking Challenge.