Cover image for Multimodal signal processing theory and applications for human-computer interaction
Multimodal signal processing theory and applications for human-computer interaction
Title:
Multimodal signal processing theory and applications for human-computer interaction
Author:
Thiran, Jean-Philippe.
ISBN:
9780080888699

9780123748256
Personal Author:
Publication Information:
London : Academic Press, 2010.
Physical Description:
1 online resource (xiv, 328 pages) : illustrations.
Series:
EURASIP and Academic Press series in signal and image processing

EURASIP and Academic Press series in signal and image processing.
Contents:
Front Cover; Title Page; Copyright Page; Table of Contents; Preface; Chapter 1. Introduction; Part I: Signal Processing, Modelling and Related Mathematical Tools; Chapter 2. Statistical Machine Learning for HCI; Chapter 3. Speech Processing; Chapter 4. Natural Language and Dialogue Processing; Chapter 5. Image and Video Processing Tools for HCI; Chapter 6. Processing of Handwriting and Sketching Dynamics; Part II: Multimodal Signal Processing and Modelling; Chapter 7. Basic Concepts of Multimodal Analysis; Chapter 8. Multimodal Information Fusion; Chapter 9. Modality Integration Methods.
Abstract:
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 performanc.
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