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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.
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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
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Q342 .A383 2016 EB Advanced Computational Methods for Knowledge Engineering : Proceedings of the 4th International Conference on Computer Science, Applied Mathematics and Applications, ICCSAMA 2016, 2-3 May, 2016, Vienna, Austria Q342 .A383 2016 EB Advances in computational intelligence systems : contributions presented at the 16th UK Workshop on Computational Intelligence, September 7-9, 2016, Lancaster, UK Q342 .A383 2016 EB 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 1 Q342 .A383 2016 EB 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 Q342 .A383 2017 EB Advances in computational intelligence : proceedings of International Conference on Computational Intelligence 2015 Q342 .A383 2018 EB Advanced Computational Methods for Knowledge Engineering Proceedings of the 5th International Conference on Computer Science, Applied Mathematics and Applications, ICCSAMA 2017 Q342 .A383 2018 EB Advances in Neural Computation, Machine Learning, and Cognitive Research Selected Papers from the XIX International Conference on Neuroinformatics, October 2-6, 2017, Moscow, Russia

3.2 Method Converting Spatial Spectral Information into GrayScale Images.

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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.

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