Machine Learning for Multimodal Interaction

Machine Learning for Multimodal Interaction
Author: Andrei Popescu-Belis
Publisher: Springer
Total Pages: 375
Release: 2008-09-20
Genre: Computers
ISBN: 3540858539

Download Machine Learning for Multimodal Interaction Book in PDF, Epub and Kindle

This book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning for Multimodal Interaction, MLMI 2008, held in Utrecht, The Netherlands, in September 2008. The 12 revised full papers and 15 revised poster papers presented together with 5 papers of a special session on user requirements and evaluation of multimodal meeting browsers/assistants were carefully reviewed and selected from 47 submissions. The papers cover a wide range of topics related to human-human communication modeling and processing, as well as to human-computer interaction, using several communication modalities. Special focus is given to the analysis of non-verbal communication cues and social signal processing, the analysis of communicative content, audio-visual scene analysis, speech processing, interactive systems and applications.

Machine Learning for Multimodal Interaction

Machine Learning for Multimodal Interaction
Author: Steve Renals
Publisher: Springer Science & Business Media
Total Pages: 502
Release: 2006-02-13
Genre: Computers
ISBN: 3540325492

Download Machine Learning for Multimodal Interaction Book in PDF, Epub and Kindle

This book constitutes the thoroughly refereed post-proceedings of the Second International Workshop on Machine Learning for Multimodal Interaction held in July 2005. The 38 revised full papers presented together with two invited papers were carefully selected during two rounds of reviewing and revision. The papers are organized in topical sections on multimodal processing, HCI and applications, discourse and dialogue, emotion, visual processing, speech and audio processing, and NIST meeting recognition evaluation.

Proceedings of the 18th ACM International Conference on Multimodal Interaction

Proceedings of the 18th ACM International Conference on Multimodal Interaction
Author: Yukiko I. Nakano
Publisher:
Total Pages:
Release: 2016-11-12
Genre:
ISBN: 9781450345569

Download Proceedings of the 18th ACM International Conference on Multimodal Interaction Book in PDF, Epub and Kindle

ICMI '16: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION Nov 12, 2016-Nov 16, 2016 Tokyo, Japan. You can view more information about this proceeding and all of ACM�s other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl.

Innovative and Creative Developments in Multimodal Interaction Systems

Innovative and Creative Developments in Multimodal Interaction Systems
Author: Yves Rybarczyk
Publisher: Springer
Total Pages: 237
Release: 2014-04-16
Genre: Computers
ISBN: 3642551432

Download Innovative and Creative Developments in Multimodal Interaction Systems Book in PDF, Epub and Kindle

This book contains the outcome of the 9th IFIP WG 5.5 International Summer Workshop on Multimodal Interfaces, eNTERFACE 2013, held in Lisbon, Portugal, in July/August 2013. The 9 papers included in this book represent the results of a 4-week workshop, where senior and junior researchers worked together on projects tackling new trends in human-machine interaction (HMI). The papers are organized in two topical sections. The first one presents different proposals focused on some fundamental issues regarding multimodal interactions, i.e., telepresence, speech synthesis and interactive modeling. The second is a set of development examples in key areas of HMI applications, i.e., education, entertainment and assistive technologies.

The Paradigm Shift to Multimodality in Contemporary Computer Interfaces

The Paradigm Shift to Multimodality in Contemporary Computer Interfaces
Author: SHARON OVIATT
Publisher: Springer Nature
Total Pages: 221
Release: 2022-06-01
Genre: Computers
ISBN: 3031022130

Download The Paradigm Shift to Multimodality in Contemporary Computer Interfaces Book in PDF, Epub and Kindle

During the last decade, cell phones with multimodal interfaces based on combined new media have become the dominant computer interface worldwide. Multimodal interfaces support mobility and expand the expressive power of human input to computers. They have shifted the fulcrum of human-computer interaction much closer to the human. This book explains the foundation of human-centered multimodal interaction and interface design, based on the cognitive and neurosciences, as well as the major benefits of multimodal interfaces for human cognition and performance. It describes the data-intensive methodologies used to envision, prototype, and evaluate new multimodal interfaces. From a system development viewpoint, this book outlines major approaches for multimodal signal processing, fusion, architectures, and techniques for robustly interpreting users' meaning. Multimodal interfaces have been commercialized extensively for field and mobile applications during the last decade. Research also is growing rapidly in areas like multimodal data analytics, affect recognition, accessible interfaces, embedded and robotic interfaces, machine learning and new hybrid processing approaches, and similar topics. The expansion of multimodal interfaces is part of the long-term evolution of more expressively powerful input to computers, a trend that will substantially improve support for human cognition and performance. Table of Contents: Preface: Intended Audience and Teaching with this Book / Acknowledgments / Introduction / Definition and Typre of Multimodal Interface / History of Paradigm Shift from Graphical to Multimodal Interfaces / Aims and Advantages of Multimodal Interfaces / Evolutionary, Neuroscience, and Cognitive Foundations of Multimodal Interfaces / Theoretical Foundations of Multimodal Interfaces / Human-Centered Design of Multimodal Interfaces / Multimodal Signal Processing, Fusion, and Architectures / Multimodal Language, Semantic Processing, and Multimodal Integration / Commercialization of Multimodal Interfaces / Emerging Multimodal Research Areas, and Applications / Beyond Multimodality: Designing More Expressively Powerful Interfaces / Conclusions and Future Directions / Bibliography / Author Biographies

Frontiers of Multimedia Research

Frontiers of Multimedia Research
Author: Shih-Fu Chang
Publisher: Morgan & Claypool
Total Pages: 492
Release: 2018-01-03
Genre: Computers
ISBN: 1970001062

Download Frontiers of Multimedia Research Book in PDF, Epub and Kindle

The field of multimedia is unique in offering a rich and dynamic forum for researchers from “traditional” fields to collaborate and develop new solutions and knowledge that transcend the boundaries of individual disciplines. Despite the prolific research activities and outcomes, however, few efforts have been made to develop books that serve as an introduction to the rich spectrum of topics covered by this broad field. A few books are available that either focus on specific subfields or basic background in multimedia. Tutorial-style materials covering the active topics being pursued by the leading researchers at frontiers of the field are currently lacking. In 2015, ACM SIGMM, the special interest group on multimedia, launched a new initiative to address this void by selecting and inviting 12 rising-star speakers from different subfields of multimedia research to deliver plenary tutorial-style talks at the ACM Multimedia conference for 2015. Each speaker discussed the challenges and state-of-the-art developments of their prospective research areas in a general manner to the broad community. The covered topics were comprehensive, including multimedia content understanding, multimodal human-human and human-computer interaction, multimedia social media, and multimedia system architecture and deployment. Following the very positive responses to these talks, the speakers were invited to expand the content covered in their talks into chapters that can be used as reference material for researchers, students, and practitioners. Each chapter discusses the problems, technical challenges, state-of-the-art approaches and performances, open issues, and promising direction for future work. Collectively, the chapters provide an excellent sampling of major topics addressed by the community as a whole. This book, capturing some of the outcomes of such efforts, is well positioned to fill the aforementioned needs in providing tutorial-style reference materials for frontier topics in multimedia. At the same time, the speed and sophistication required of data processing have grown. In addition to simple queries, complex algorithms like machine learning and graph analysis are becoming common. And in addition to batch processing, streaming analysis of real-time data is required to let organizations take timely action. Future computing platforms will need to not only scale out traditional workloads, but support these new applications too. This book, a revised version of the 2014 ACM Dissertation Award winning dissertation, proposes an architecture for cluster computing systems that can tackle emerging data processing workloads at scale. Whereas early cluster computing systems, like MapReduce, handled batch processing, our architecture also enables streaming and interactive queries, while keeping MapReduce's scalability and fault tolerance. And whereas most deployed systems only support simple one-pass computations (e.g., SQL queries), ours also extends to the multi-pass algorithms required for complex analytics like machine learning. Finally, unlike the specialized systems proposed for some of these workloads, our architecture allows these computations to be combined, enabling rich new applications that intermix, for example, streaming and batch processing. We achieve these results through a simple extension to MapReduce that adds primitives for data sharing, called Resilient Distributed Datasets (RDDs). We show that this is enough to capture a wide range of workloads. We implement RDDs in the open source Spark system, which we evaluate using synthetic and real workloads. Spark matches or exceeds the performance of specialized systems in many domains, while offering stronger fault tolerance properties and allowing these workloads to be combined. Finally, we examine the generality of RDDs from both a theoretical modeling perspective and a systems perspective. This version of the dissertation makes corrections throughout the text and adds a new section on the evolution of Apache Spark in industry since 2014. In addition, editing, formatting, and links for the references have been added.