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 a unifying approach. It is aimed at defining models useful to support UI plasticity by relying on multimodality, at introducing and discussing basic principles that can drive the development of such UIs, and at describing some techniques as proof-of-concept of the aforementioned models and principles. In Chapter 4, the authors introduce running examples that serve as illustration throughout the d- cussion of the use of multimodality to support plasticity.
| ISBN: | 9783642097034 |
| Publication date: | 30th November 2010 |
| Author: | Dimitros Tzovaras |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Paperback |
| Pagination: | 315 pages |
| Series: | Signals and Communication Technology |
| Genres: |
Electronics engineering Computer vision Digital signal processing (DSP) Human–computer interaction Communications engineering / telecommunications |
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 a unifying approach. It is aimed at defining models useful to support UI plasticity by relying on multimodality, at introducing and discussing basic principles that can drive the development of such UIs, and at describing some techniques as proof-of-concept of the aforementioned models and principles. In Chapter 4, the authors introduce running examples that serve as illustration throughout the d- cussion of the use of multimodality to support plasticity.
Multimodal User Interfaces features in the following genres: Electronics engineering, Computer vision, Digital signal processing (DSP), Human–computer interaction, Communications engineering / telecommunications
Multimodal User Interfaces is available in Paperback, Hardback
Multimodal User Interfaces was written by Dimitros Tzovaras and published by Springer an imprint of Springer Berlin Heidelberg
Multimodal User Interfaces has 315 pages
Yes it is part of Signals and Communication Technology series