Biblioteca CRAI Dulce Chacón - Universidad Europea de Madrid

CRAI Library - Madrid
Your cart is empty.
My folder ( items) | My account
Image from Google Jackets

Advances in Intelligent Information Hiding and Multimedia Signal Processing : proceeding of the Twelfth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, Nov., 21-23, 2016, Kaohsiung, Taiwan . Volume 2 / Jeng-Shyang Pan, Pei-Wei Tsai, Hsiang-Cheh Huang, editors.

By: (12th : International Conference on Intelligent Information Hiding and Multimedia Signal Processing ((12th : 2016 : Kao-hsiung shih, Taiwan))
Contributor(s): Huang, Hsiang-Cheh. | Pan, Jeng-Shyang. | Tsai, Pei-Wei.
Material type: materialTypeLabelE-bookSeries: (Smart Innovation, Systems and Technologies ; volumen 64).Publisher: Cham : Springer, 2016Description: 1 recurso en línea (384 páginas).ISBN: 3319502123; 9783319502120.Subject: Redes informáticas -- Medidas de seguridadOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Preface; Conference Organization; Contents; Part I Image and Video Signal Processing; 1 The election of Spectrum bands in Hyper-spectral image classification; Abstract; 1 Introduction; 2 proposed approach modules; 3 process of spectrum bands election algorithm; 4 detail of spectrum bands election algorithm; 5 result of experiment; References; 2 Evaluating a Virtual Collaborative Environment for Interactive Distance Teaching and Learning: A Case Study; Abstract; Keywords; 1 Introduction; 2 Related Work; 3 The Open Wonderland; 4 Experimental Design; 5 Discussion; 6 Conclusion; 7 Acknowledgement.
1 Introduction2 Smart Fence via ZigBee Sensors; 3 Silhouette Imaging Method; 3.1 Sensing Model; 3.2 Imaging Algorithm; 4 Results and Discussions; 4.1 Results; 4.2 Discussions; 5 Conclusion; References; 6 Gender Recognition Using Local Block Difference Pattern; Abstract; Keywords; 1 Introduction; 2 Background Review; 3 The Proposed Approach; 4 Experimental Results; 4.1 Influence of Block Number; 4.2 Comparison with Other Methods; 5 Conclusions; Acknowledgments; References; 7 DBN-based Classifcation of Spatial-spectral Hyperspectral Data; Abstract; Keywords; 1 Introduction.
2 Spatial and Spectral Information Based HyperspectralImage Classification2.1 Structure of DBN; 2.2 Principle of the Classification Method; 2.3 Neighborhood Information Stitching Method; 2.4 Spectral-Spatial Information Stitching Method; 3 Experiments Results and Analysis; 3.1 Data Set Description; 3.2 Experimental and Results Analysis; 4 Conclusion; References; 8 Using CNN to Classify Hyperspectral Data Based on Spatial-spectral Information; Abstract; Keywords; 1 Introduction; 2 CNN; 3 Hyperspectral Image Classification Based on CNN; 3.1 Flowchart.
AbstractKeywords; 1 Introduction; 2 Feature Representations for Photo-Realistic FaceImage; 2.1 PCA-Based Feature; 2.2 Animation Unit (AU) Parameter; 2.3 Modeling and Generation of Facial Features Using HMM; 2.4 Mapping from AU Parameters to Pixel Image Using DNN; 3 Experiments; 3.1 Database; 3.2 Relation between the amount of training data and the objectivequality; 3.3 Performance comparison between the conventional andproposed techniques; 4 Conclusions and future work; Acknowledgment; References; 5 Silhouette Imaging for Smart Fence Applications with ZigBee Sensors; Abstract; Keywords.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería Q342 .A383 2016 EB (Browse shelf(Opens below)) Acceso electrónico eBook.20022542
Total holds: 0

3.2 Method Converting Spatial Spectral Information into GrayScale Images.

SpringerLink

Incluye referencias bibliográficas e índices

Preface; Conference Organization; Contents; Part I Image and Video Signal Processing; 1 The election of Spectrum bands in Hyper-spectral image classification; Abstract; 1 Introduction; 2 proposed approach modules; 3 process of spectrum bands election algorithm; 4 detail of spectrum bands election algorithm; 5 result of experiment; References; 2 Evaluating a Virtual Collaborative Environment for Interactive Distance Teaching and Learning: A Case Study; Abstract; Keywords; 1 Introduction; 2 Related Work; 3 The Open Wonderland; 4 Experimental Design; 5 Discussion; 6 Conclusion; 7 Acknowledgement.

1 Introduction2 Smart Fence via ZigBee Sensors; 3 Silhouette Imaging Method; 3.1 Sensing Model; 3.2 Imaging Algorithm; 4 Results and Discussions; 4.1 Results; 4.2 Discussions; 5 Conclusion; References; 6 Gender Recognition Using Local Block Difference Pattern; Abstract; Keywords; 1 Introduction; 2 Background Review; 3 The Proposed Approach; 4 Experimental Results; 4.1 Influence of Block Number; 4.2 Comparison with Other Methods; 5 Conclusions; Acknowledgments; References; 7 DBN-based Classifcation of Spatial-spectral Hyperspectral Data; Abstract; Keywords; 1 Introduction.

2 Spatial and Spectral Information Based HyperspectralImage Classification2.1 Structure of DBN; 2.2 Principle of the Classification Method; 2.3 Neighborhood Information Stitching Method; 2.4 Spectral-Spatial Information Stitching Method; 3 Experiments Results and Analysis; 3.1 Data Set Description; 3.2 Experimental and Results Analysis; 4 Conclusion; References; 8 Using CNN to Classify Hyperspectral Data Based on Spatial-spectral Information; Abstract; Keywords; 1 Introduction; 2 CNN; 3 Hyperspectral Image Classification Based on CNN; 3.1 Flowchart.

AbstractKeywords; 1 Introduction; 2 Feature Representations for Photo-Realistic FaceImage; 2.1 PCA-Based Feature; 2.2 Animation Unit (AU) Parameter; 2.3 Modeling and Generation of Facial Features Using HMM; 2.4 Mapping from AU Parameters to Pixel Image Using DNN; 3 Experiments; 3.1 Database; 3.2 Relation between the amount of training data and the objectivequality; 3.3 Performance comparison between the conventional andproposed techniques; 4 Conclusions and future work; Acknowledgment; References; 5 Silhouette Imaging for Smart Fence Applications with ZigBee Sensors; Abstract; Keywords.

There are no comments on this title.

to post a comment.
Share