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Human-centric interfaces for ambient intelligence / / edited by Hamid Aghajan, Juan Carlos Augusto, Ramon Lopez-Cozar Delgado
| Human-centric interfaces for ambient intelligence / / edited by Hamid Aghajan, Juan Carlos Augusto, Ramon Lopez-Cozar Delgado |
| Autore | Aghajan Hamid K |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Amsterdam, : Academic, c2010 |
| Descrizione fisica | 1 online resource (543 p.) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
AugustoJuan Carlos
Lopez-Cozar DelgadoRamon |
| Soggetto topico |
Ambient intelligence
Human-computer interaction |
| ISBN |
9786612754890
9781282754898 1282754890 9780080878508 0080878504 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Human-Centric Interfaces for Ambient Intelligence; Copyright Page; Contents; Foreword; Preface; Ambient Intelligence; Human-Centric Design; Vision and Visual Interfaces; Speech Processing and Dialogue Management; Multimodal Interfaces; Smart Environment Applications; Conclusions; Acknowledgments; Part 1: Vision and Visual Interfaces; Chapter 1: Face-to-Face Collaborative Interfaces; 1.1 Introduction; 1.2 Background; 1.3 Surface User Interface; 1.4 Multitouch; 1.4.1 Camera-Based Systems; 1.4.2 Capacitance-Based Systems; 1.5 Gestural Interaction; 1.6 Gestural Infrastructures
1.6.1 Gestural Software Support1.7 Touch versus Mouse; 1.8 Design Guidelines for SUIs for Collaboration; 1.8.1 Designing the Collaborative Environment; 1.9 Conclusions; References; Chapter 2: Computer Vision Interfaces for Interactive Art; 2.1 Introduction; 2.1.1 A Brief History of (Vision in) Art; 2.2 A Taxonomy of Vision-Based Art; 2.3 Paradigms for Vision-Based Interactive Art; 2.3.1 Mirror Interfaces; 2.3.2 Performance; 2.4 Software Tools; 2.4.1 Max/MSP, Jitter, and Puredata; 2.4.2 EyesWeb; 2.4.3 processing; 2.4.4 OpenCV; 2.5 Frontiers of Computer Vision; 2.6 Sources of Information 2.7 SummaryAcknowledgments; References; Chapter 3: Ubiquitous Gaze: Using Gazeat the Interface; 3.1 Introduction; 3.2 The Role of Gaze in Interaction; 3.3 Gaze as an Input Device; 3.3.1 Eyes on the Desktop; 3.3.2 Conversation-Style Interaction; 3.3.3 Beyond the Desktop; Ambient Displays; Human-Human Interaction in Ambient Environments; Activity detection; Interest level; Hot spot detection; Participation status; Dialogue acts; Interaction structure; Dominance and influence; 3.4 Mediated Communication; 3.5 Conclusion; References Chapter 4: Exploiting Natural Language Generation in Scene Interpretation4.1 Introduction; 4.2 Related Work; 4.3 Ontology-Based User Interfaces; 4.4 Vision and Conceptual Levels; 4.5 The NLG Module; 4.5.1 Representation of the Discourse; 4.5.2 Lexicalization; 4.5.3 Surface Realization; 4.6 Experimental Results; 4.7 Evaluation; 4.7.1 Qualitative Results; 4.7.2 Quantitative Results; 4.8 Conclusions; Acknowledgments; Appendix Listing of Detected Facts Sorted by Frequency of Use; References; Chapter 5: The Language of Action: A New Tool for Human-CentricInterfaces; 5.1 Introduction 5.2 Human Action5.3 Learning the Languages of Human Action; 5.3.1 Related Work; 5.4 Grammars of Visual Human Movement; 5.5 Grammars of Motoric Human Movement; 5.5.1 Human Activity Language: A Symbolic Approach; 5.5.2 A Spectral Approach: Synergies; 5.6 Applications to Health; 5.7 Applications to Artificial Intelligence and Cognitive Systems; 5.8 Conclusions; Acknowledgments; References; Part 2: Speech Processing and Dialogue Management; Chapter 6: Robust Speech Recognition Under Noisy Ambient Conditions; 6.1 Introduction; 6.2 Speech Recognition Overview; 6.3 Variability in the Speech Signal 6.4 Robust Speech Recognition Techniques |
| Record Nr. | UNINA-9911004839503321 |
Aghajan Hamid K
|
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| Amsterdam, : Academic, c2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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MPVA'10 : proceedings of the 2010 ACM Workshop on Multimodal Pervasive Video Analysis : October 29, 2010, Firenze, Italy
| MPVA'10 : proceedings of the 2010 ACM Workshop on Multimodal Pervasive Video Analysis : October 29, 2010, Firenze, Italy |
| Autore | Aghajan Hamid K |
| Pubbl/distr/stampa | [Place of publication not identified], : ACM, 2010 |
| Descrizione fisica | 1 online resource (60 pages) |
| Collana | ACM Conferences |
| Soggetto topico |
Engineering & Applied Sciences
Applied Physics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
Multimodal Pervasive Video Analysis'10 : proceedings of the 2010 Association for Computing Machinery Workshop on Multimodal Pervasive Video Analysis : October 29, 2010, Firenze, Italy
Proceedings of the 1st ACM International Workshop on Multimodal Pervasive Video Analysis |
| Record Nr. | UNINA-9910376017003321 |
|
Aghajan Hamid K
|
||
| [Place of publication not identified], : ACM, 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Multi-camera networks : principles and applications / / Hamid Aghajan, Andrea Cavallaro, [editors]
| Multi-camera networks : principles and applications / / Hamid Aghajan, Andrea Cavallaro, [editors] |
| Autore | Aghajan Hamid K |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Amsterdam ; ; Boston, : Elsevier, AP, c2009 |
| Descrizione fisica | 1 online resource (623 p.) |
| Disciplina |
621.38834
621.38928 |
| Altri autori (Persone) |
AghajanHamid K
CavallaroAndrea |
| Soggetto topico |
Sensor networks
Cameras Computer vision Computer networks Signal processing - Digital techniques Electronic surveillance Video recording |
| ISBN |
9786612120671
9781282120679 1282120670 9780080878003 0080878008 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Multi-Camera Networks; Copyright Page; Table of Contents; Foreword; Preface; Part 1: Multi-Camera Calibration and Topology; Chapter 1. Multi-View Geometry for Camera Networks; 1.1 Introduction; 1.2 Image Formation; 1.2.1 Perspective Projection; 1.2.2 Camera Matrices; 1.2.3 Estimating the Camera Matrix; 1.3 Two-Camera Geometry; 1.3.1 Epipolar Geometry and Its Estimation; 1.3.2 Relating the Fundamental Matrix to the Camera Matrices; 1.3.3 Estimating the Fundamental Matrix; 1.4 Projective Transformations; 1.4.1 Estimating Projective Transformations
1.4.2 Rectifying Projective Transformations1.5 Feature Detection and Matching; 1.6 Multi-Camera Geometry; 1.6.1 Affine Reconstruction; 1.6.2 Projective Reconstruction; 1.6.3 Metric Reconstruction; 1.6.4 Bundle Adjustment; 1.7 Conclusions; 1.7.1 Resources; References; Chapter 2. Multi-View Calibration, Synchronization, and Dynamic Scene Reconstruction; 2.1 Introduction; 2.2 Camera Network Calibration and Synchronization; 2.2.1 Epipolar Geometry from Dynamic Silhouettes; 2.2.2 Related Work; 2.2.3 Camera Network Calibration; 2.2.4 Computing the Metric Reconstruction 2.2.5 Camera Network Synchronization2.2.6 Results; 2.3 Dynamic Scene Reconstruction from Silhouette Cues; 2.3.1 Related Work; 2.3.2 Probabilistic Framework; 2.3.3 Automatic Learning and Tracking; 2.3.4 Results and Evaluation; 2.4 Conclusions; References; Chapter 3. Actuation-Assisted Localization of Distributed Camera Sensor Networks; 3.1 Introduction; 3.2 Methodology; 3.2.1 Base Triangle; 3.2.2 Large-Scale Networks; 3.2.3 Bundle Adjustment Refinement; 3.3 Actuation Planning; 3.3.1 Actuation Strategies; 3.3.2 Actuation Termination Rules; 3.4 System Description; 3.4.1 Actuated Camera Platform 3.4.2 Optical Communication Beaconing3.4.3 Network Architecture; 3.5 Evaluation; 3.5.1 Localization Accuracy; 3.5.2 Node Density; 3.5.3 Latency; 3.6 Conclusions; References; Chapter 4. Building an Algebraic Topological Model of Wireless Camera Networks; 4.1 Introduction; 4.2 Mathematical Background; 4.2.1 Simplicial Homology; 4.2.2 Example; 4.2.3 Cech Theorem; 4.3 The Camera and the Environment Models; 4.4 The CN-Complex; 4.5 Recovering Topology: 2D Case; 4.5.1 Algorithms; 4.5.2 Simulation in 2D; 4.6 Recovering Topology: 2.5D Case; 4.6.1 Mapping from 2.5D to 2D; 4.6.2 Building the CN-Complex 4.6.3 Experimentation4.7 Conclusions; References; Chapter 5. Optimal Placement of Multiple Visual Sensors; 5.1 Introduction; 5.1.1 Related Work; 5.1.2 Organization; 5.2 Problem Formulation; 5.2.1 Definitions; 5.2.2 Problem Statements; 5.2.3 Modeling a Camera's Field of View; 5.2.4 Modeling Space; 5.3 Approaches; 5.3.1 Exact Algorithms; 5.3.2 Heuristics; 5.3.3 Random Selection and Placement; 5.4 Experiments; 5.4.1 Comparison of Approaches; 5.4.2 Complex Space Examples; 5.5 Possible Extensions; 5.6 Conclusions; References; Chapter 6. Optimal Visual Sensor Network Configuration; 6.1 Introduction 6.1.1 Organization |
| Record Nr. | UNINA-9911006626303321 |
|
Aghajan Hamid K
|
||
| Amsterdam ; ; Boston, : Elsevier, AP, c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||