Multimodal Interaction in Image and Video Applications

Multimodal Interaction in Image and Video Applications PDF

Author: Angel D. Sappa

Publisher: Springer Science & Business Media

Published: 2013-01-11

Total Pages: 209

ISBN-13: 3642359329

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Traditional Pattern Recognition (PR) and Computer Vision (CV) technologies have mainly focused on full automation, even though full automation often proves elusive or unnatural in many applications, where the technology is expected to assist rather than replace the human agents. However, not all the problems can be automatically solved being the human interaction the only way to tackle those applications. Recently, multimodal human interaction has become an important field of increasing interest in the research community. Advanced man-machine interfaces with high cognitive capabilities are a hot research topic that aims at solving challenging problems in image and video applications. Actually, the idea of computer interactive systems was already proposed on the early stages of computer science. Nowadays, the ubiquity of image sensors together with the ever-increasing computing performance has open new and challenging opportunities for research in multimodal human interaction. This book aims to show how existing PR and CV technologies can naturally evolve using this new paradigm. The chapters of this book show different successful case studies of multimodal interactive technologies for both image and video applications. They cover a wide spectrum of applications, ranging from interactive handwriting transcriptions to human-robot interactions in real environments.

Multimodal Processing and Interaction

Multimodal Processing and Interaction PDF

Author: Petros Maragos

Publisher: Springer Science & Business Media

Published: 2008-12-16

Total Pages: 380

ISBN-13: 0387763163

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This volume presents high quality, state-of-the-art research ideas and results from theoretic, algorithmic and application viewpoints. It contains contributions by leading experts in the obsequious scientific and technological field of multimedia. The book specifically focuses on interaction with multimedia content with special emphasis on multimodal interfaces for accessing multimedia information. The book is designed for a professional audience composed of practitioners and researchers in industry. It is also suitable for advanced-level students in computer science.

Multimodal Video Characterization and Summarization

Multimodal Video Characterization and Summarization PDF

Author: Michael A. Smith

Publisher: Springer Science & Business Media

Published: 2005-12-17

Total Pages: 214

ISBN-13: 0387230084

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Multimodal Video Characterization and Summarization is a valuable research tool for both professionals and academicians working in the video field. This book describes the methodology for using multimodal audio, image, and text technology to characterize video content. This new and groundbreaking science has led to many advances in video understanding, such as the development of a video summary. Applications and methodology for creating video summaries are described, as well as user-studies for evaluation and testing.

Machine Learning for Multimodal Interaction

Machine Learning for Multimodal Interaction PDF

Author: Andrei Popescu-Belis

Publisher: Springer

Published: 2008-02-22

Total Pages: 318

ISBN-13: 3540781552

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This book constitutes the thoroughly refereed post-proceedings of the 4th International Workshop on Machine Learning for Multimodal Interaction, MLMI 2007, held in Brno, Czech Republic, in June 2007. The 25 revised full papers presented together with 1 invited paper were carefully selected during two rounds of reviewing and revision from 60 workshop presentations. The papers are organized in topical sections on multimodal processing, HCI, user studies and applications, image and video processing, discourse and dialogue processing, speech and audio processing, as well as the PASCAL speech separation challenge.

Multimodal Interactive Systems Management

Multimodal Interactive Systems Management PDF

Author: Hervé Bourlard

Publisher: CRC Press

Published: 2014-01-07

Total Pages: 220

ISBN-13: 1482212137

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This book provides a synthesis of the multifaceted field of interactive multimodal information management. The subjects treated include spoken language processing, image and video processing, document and handwriting analysis, identity information and interfaces. The book concludes with an overview of the highlights of the progress of the field during the past ten years, as well as the problems that are now under investigation and that offer the most promising results for the future. The book is addressed to the graduate student/postdoc level, but much of the book will be accessible to all those with a general background in information processing.

Multimodal Signal Processing

Multimodal Signal Processing PDF

Author: Jean-Philippe Thiran

Publisher: Academic Press

Published: 2009-11-11

Total Pages: 352

ISBN-13: 9780080888699

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Multimodal signal processing is an important research and development field that processes signals and combines information from a variety of modalities – speech, vision, language, text – which significantly enhance the understanding, modelling, and performance of human-computer interaction devices or systems enhancing human-human communication. The overarching theme of this book is the application of signal processing and statistical machine learning techniques to problems arising in this multi-disciplinary field. It describes the capabilities and limitations of current technologies, and discusses the technical challenges that must be overcome to develop efficient and user-friendly multimodal interactive systems. With contributions from the leading experts in the field, the present book should serve as a reference in multimodal signal processing for signal processing researchers, graduate students, R&D engineers, and computer engineers who are interested in this emerging field. Presents state-of-art methods for multimodal signal processing, analysis, and modeling Contains numerous examples of systems with different modalities combined Describes advanced applications in multimodal Human-Computer Interaction (HCI) as well as in computer-based analysis and modelling of multimodal human-human communication scenes.

Machine Learning for Multimodal Interaction

Machine Learning for Multimodal Interaction PDF

Author: Steve Renals

Publisher: Springer

Published: 2007-01-23

Total Pages: 482

ISBN-13: 3540692681

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This book constitutes the thoroughly refereed post-proceedings of the Third International Workshop on Machine Learning for Multimodal Interaction, MLMI 2006, held in Bethesda, MD, USA, in May 2006. The papers are organized in topical sections on multimodal processing, image and video processing, HCI and applications, discourse and dialogue, speech and audio processing, and NIST meeting recognition evaluation.

Intelligent Healthcare Systems

Intelligent Healthcare Systems PDF

Author: Vania V. Estrela

Publisher: CRC Press

Published: 2023-08-04

Total Pages: 399

ISBN-13: 1000954323

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The book sheds light on medical cyber-physical systems while addressing image processing, microscopy, security, biomedical imaging, automation, robotics, network layers’ issues, software design, and biometrics, among other areas. Hence, solving the dimensionality conundrum caused by the necessity to balance data acquisition, image modalities, different resolutions, dissimilar picture representations, subspace decompositions, compressed sensing, and communications constraints. Lighter computational implementations can circumvent the heavy computational burden of healthcare processing applications. Soft computing, metaheuristic, and deep learning ascend as potential solutions to efficient super-resolution deployment. The amount of multi-resolution and multi-modal images has been augmenting the need for more efficient and intelligent analyses, e.g., computer-aided diagnosis via computational intelligence techniques. This book consolidates the work on artificial intelligence methods and clever design paradigms for healthcare to foster research and implementations in many domains. It will serve researchers, technology professionals, academia, and students working in the area of the latest advances and upcoming technologies employing smart systems’ design practices and computational intelligence tactics for medical usage. The book explores deep learning practices within particularly difficult computational types of health problems. It aspires to provide an assortment of novel research works that focuses on the broad challenges of designing better healthcare services.

Advanced Techniques in Multimedia Watermarking: Image, Video and Audio Applications

Advanced Techniques in Multimedia Watermarking: Image, Video and Audio Applications PDF

Author: Al-Haj, Ali Mohammad

Publisher: IGI Global

Published: 2010-05-31

Total Pages: 566

ISBN-13: 1615209042

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"This book introduces readers to state-of-art research in multimedia watermarking in the different disciplines of watermarking, addressing the different aspects of advanced watermarking research; modeling and theoretical analysis, advanced embedding and extraction techniques, software and hardware implementations, and performance evaluations of watermarking systems"--Provided by publisher.

Machine Learning for Multimodal Interaction

Machine Learning for Multimodal Interaction PDF

Author: Andrei Popescu-Belis

Publisher: Springer Science & Business Media

Published: 2008-02-26

Total Pages: 318

ISBN-13: 3540781544

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This book constitutes the thoroughly refereed post-proceedings of the 4th International Workshop on Machine Learning for Multimodal Interaction, MLMI 2007, held in Brno, Czech Republic, in June 2007. The 25 revised full papers presented together with 1 invited paper were carefully selected during two rounds of reviewing and revision from 60 workshop presentations. The papers are organized in topical sections on multimodal processing, HCI, user studies and applications, image and video processing, discourse and dialogue processing, speech and audio processing, as well as the PASCAL speech separation challenge.