000778140 000__ 05612cam\a2200589Mi\4500 000778140 001__ 778140 000778140 005__ 20230306142754.0 000778140 006__ m\\\\\o\\d\\\\\\\\ 000778140 007__ cr\nn\nnnunnun 000778140 008__ 161126s2016\\\\sz\\\\\\o\\\\\100\0\eng\d 000778140 020__ $$a9783319502120$$q(electronic book) 000778140 020__ $$a3319502123$$q(electronic book) 000778140 020__ $$z9783319502113 000778140 035__ $$aSP(OCoLC)ocn964412348 000778140 035__ $$aSP(OCoLC)964412348 000778140 040__ $$aEBLCP$$beng$$epn$$cEBLCP$$dOCLCO$$dN$T$$dIDEBK$$dGW5XE$$dOCLCF$$dUAB$$dOCLCQ$$dOCLCO$$dIOG 000778140 049__ $$aISEA 000778140 050_4 $$aQA76.575 000778140 050_4 $$aTA1-2040 000778140 08204 $$a006.7$$223 000778140 08204 $$a620 000778140 1112_ $$aInternational Conference on Intelligent Information Hiding and Multimedia Signal Processing$$n(12th :$$d2016 :$$cKao-hsiung shih, Taiwan) 000778140 24510 $$aAdvances in Intelligent Information Hiding and Multimedia Signal Processing :$$bproceeding of the Twelfth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, Nov., 21-23, 2016, Kaohsiung, Taiwan.$$nVolume 2 /$$cJeng-Shyang Pan, Pei-Wei Tsai, Hsiang-Cheh Huang, editors. 000778140 260__ $$aCham :$$bSpringer,$$c2016. 000778140 300__ $$a1 online resource (384 pages). 000778140 336__ $$atext$$btxt$$2rdacontent 000778140 337__ $$acomputer$$bc$$2rdamedia 000778140 338__ $$aonline resource$$bcr$$2rdacarrier 000778140 4901_ $$aSmart Innovation, Systems and Technologies ;$$vv. 64 000778140 500__ $$a3.2 Method Converting Spatial Spectral Information into GrayScale Images. 000778140 504__ $$aReferences3 The Linear Transformation Image Enhancement Algorithm Based on HSV Color Space; Abstract; Keywords: ; 1 Introduction; 2 Linear transformation algorithm base on HSV colorspace; 2.1 HSV color space; 2.2 Linear transformation algorithm based on HSV Space; 3 Experimental results and analysis; 3.1 Image captured at evening enhancement effect comparison; 3.2 Image captured at noon enhancement effect comparison; 3.3 Image enhancement processing time comparison; 4 Conclusion; References; 4 Synthesis of Photo-Realistic Facial Animation from Text Based on HMM and DNN with Animation Unit. 000778140 5050_ $$aPreface; 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. 000778140 5058_ $$aAbstractKeywords; 1 Introduction; 2 Feature Representations for Photo-Realistic FaceImage; 2.1 PCA-Based Feature; 2.2 Animation Unit (AU) Parameter; 2.3 Modeling and Generation of Facial Features Using HMM; 2.4 Mapping from AU Parameters to Pixel Image Using DNN; 3 Experiments; 3.1 Database; 3.2 Relation between the amount of training data and the objectivequality; 3.3 Performance comparison between the conventional andproposed techniques; 4 Conclusions and future work; Acknowledgment; References; 5 Silhouette Imaging for Smart Fence Applications with ZigBee Sensors; Abstract; Keywords. 000778140 5058_ $$a1 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. 000778140 5058_ $$a2 Spatial and Spectral Information Based HyperspectralImage Classification2.1 Structure of DBN; 2.2 Principle of the Classification Method; 2.3 Neighborhood Information Stitching Method; 2.4 Spectral-Spatial Information Stitching Method; 3 Experiments Results and Analysis; 3.1 Data Set Description; 3.2 Experimental and Results Analysis; 4 Conclusion; References; 8 Using CNN to Classify Hyperspectral Data Based on Spatial-spectral Information; Abstract; Keywords; 1 Introduction; 2 CNN; 3 Hyperspectral Image Classification Based on CNN; 3.1 Flowchart. 000778140 506__ $$aAccess limited to authorized users. 000778140 588__ $$aDescription based on print version record. 000778140 650_0 $$aMultimedia systems$$vCongresses. 000778140 650_0 $$aImage processing$$vCongresses. 000778140 650_0 $$aSignal processing$$vCongresses. 000778140 650_0 $$aComputer networks$$xSecurity measures$$vCongresses. 000778140 650_0 $$aDigital watermarking$$vCongresses. 000778140 650_0 $$aData encryption (Computer science)$$vCongresses. 000778140 7001_ $$aPan, Jeng-Shyang. 000778140 7001_ $$aTsai, Pei-Wei. 000778140 7001_ $$aHuang, Hsiang-Cheh. 000778140 77608 $$iPrint version:$$aPan, Jeng-Shyang.$$tAdvances 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.$$dCham : Springer International Publishing, ©2016$$z9783319502113 000778140 830_0 $$aSmart innovation, systems, and technologies ;$$v64. 000778140 852__ $$bebk 000778140 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-50212-0$$zOnline Access$$91397441.1 000778140 909CO $$ooai:library.usi.edu:778140$$pGLOBAL_SET 000778140 980__ $$aEBOOK 000778140 980__ $$aBIB 000778140 982__ $$aEbook 000778140 983__ $$aOnline 000778140 994__ $$a92$$bISE