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
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.
- 1 recurso en línea (384 páginas)
- Smart Innovation, Systems and Technologies volumen 64 .
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.
3319502123 9783319502120
Redes informáticas--Medidas de seguridad
Q342 / .A383 2016 EB
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.
3319502123 9783319502120
Redes informáticas--Medidas de seguridad
Q342 / .A383 2016 EB