Multimodal Signal Processing

• Author : Jean-Philippe Thiran,Ferran Marqués,Hervé Bourlard
• Publisher : Academic Press
• Release : 11 November 2009

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

• Author : Steve Renals,Hervé Bourlard,Jean Carletta
• Publisher : Cambridge University Press
• Release : 07 June 2012

A comprehensive synthesis of recent advances in multimodal signal processing applications for human interaction analysis and meeting support technology. With directly applicable methods and metrics along with benchmark results, this guide is ideal for those interested in multimodal signal processing, its component disciplines and its application to human interaction analysis.

• Author : Jean-Philippe Thiran,Ferran Marqués,Hervé Bourlard
• Publisher : Unknown
• Release : 25 September 2021

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. 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

• Author : Jean-Philippe Thiran,Ferran Marqués,Hervé Bourlard
• Publisher : Academic Press
• Release : 01 December 2009

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

• Author : Dimitros Tzovaras
• Publisher : Springer Science & Business Media
• Release : 27 February 2008

tionship indicates how multimodal medical image processing can be unified to a large extent, e. g. multi-channel segmentation and image registration, and extend information theoretic registration to other features than image intensities. The framework is not at all restricted to medical images though and this is illustrated by applying it to multimedia sequences as well. In Chapter 4, the main results from the developments in plastic UIs and mul- modal UIs are brought together using a theoretic and conceptual perspective as

• Author : Anonim
• Publisher : Unknown
• Release : 25 September 2021

"This book is an introduction to multimodal signal processing. In it, we use the goal of building applications that can understand meetings as a way to focus and motivate the processing we describe. Multimodal signal processing takes the outputs of capture devices running at the same time - primarily cameras and microphones, but also electronic whiteboards and pens - and automatically analyses them to make sense of what is happening in the space being recorded. For instance, these analyses might

• Author : Anna Esposito,Amir Hussain,Maria Marinaro,Raffaele Martone
• Publisher : Springer Science & Business Media
• Release : 27 February 2009

This volume brings together the peer-reviewed contributions of the participants at the COST 2102 and euCognition International Training School on “Multimodal Signals: C- nitive and Algorithmic Issues” held in Vietri sul Mare, Salerno, Italy, April 22 –26, 2008. The school was sponsored by COST (European Cooperation in the Field of Scientific and Technical Research, www.cost.esf.org) in the domain of Information and Communi- tion Technologies (ICT) for disseminating the advances of the research activities developed within Action 2102: “Cross-Modal Analysis of Verbal and

• Author : Ya-Ti Peng
• Publisher : Unknown
• Release : 25 September 2021

• Author : Niels Ole Bernsen,Laila Dybkjær
• Publisher : Springer Science & Business Media
• Release : 03 October 2009

This preface tells the story of how Multimodal Usability responds to a special challenge. Chapter 1 describes the goals and structure of this book. The idea of describing how to make multimodal computer systems usable arose in the European Network of Excellence SIMILAR – “Taskforce for cre- ing human-machine interfaces SIMILAR to human-human communication”, 2003– 2007, www. similar. cc. SIMILAR brought together people from multimodal signal processing and usability with the aim of creating enabling technologies for new kinds of multimodal systems and demonstrating

• Author : Sharon Oviatt,Björn Schuller,Philip Cohen,Daniel Sonntag,Gerasimos Potamianos,Antonio Krüger
• Publisher : Morgan & Claypool
• Release : 08 October 2018

The Handbook of Multimodal-Multisensor Interfaces provides the first authoritative resource on what has become the dominant paradigm for new computer interfaces: user input involving new media (speech, multi-touch, hand and body gestures, facial expressions, writing) embedded in multimodal-multisensor interfaces that often include biosignals. This edited collection is written by international experts and pioneers in the field. It provides a textbook, reference, and technology roadmap for professionals working in this and related areas. This second volume of the handbook begins with

• Author : Soroush Sadeghi Ghandehari
• Publisher : Unknown
• Release : 25 September 2021

• Author : Zhilin Wu
• Publisher : Unknown
• Release : 25 September 2021

The outer lip and inner lip FAPs have been utilized in audio-visual speech recognition and satisfactory results have been achieved.

• Author : Friedhelm Schwenker,Stefan Scherer,Louis-Philippe Morency
• Publisher : Springer
• Release : 03 January 2015

This book constitutes the thoroughly refereed post-workshop proceedings of the Third IAPR TC3 Workshop on Pattern Recognition of Social Signals in Human-Computer-Interaction, MPRSS 2014, held in Stockholm, Sweden, in August 2014, as a satellite event of the International Conference on Pattern Recognition, ICPR 2014. The 14 revised papers presented focus on pattern recognition, machine learning and information fusion methods with applications in social signal processing, including multimodal emotion recognition, user identification, and recognition of human activities.

• Author : Soham Sarkar,Abhishek Basu,Siddhartha Bhattacharyya
• Publisher : John Wiley & Sons
• Release : 08 June 2021

A comprehensive review of the most recent applications of intelligent multi-modal data processing Intelligent Multi-Modal Data Processing contains a review of the most recent applications of data processing. The Editors and contributors – noted experts on the topic – offer a review of the new and challenging areas of multimedia data processing as well as state-of-the-art algorithms to solve the problems in an intelligent manner. The text provides a clear understanding of the real-life implementation of different statistical theories and explains how

• Author : Hervé Bourlard,Andrei Popescu-Belis
• Publisher : PPUR Presses polytechniques
• Release : 31 October 2013

In the past twenty years, computers and networks have gained a prominent role in supporting human communications. This book presents recent research in multimodal information processing, which demonstrates that computers can achieve more than what telephone calls or videoconferencing can do. The book offers a snapshot of current capabilities for the analysis of human communications in several modalities – audio, speech, language, images, video, and documents – and for accessing this information interactively. The book has a clear application goal, which is