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001434921 020__ $$a9789811611940$$q(electronic bk.)
001434921 020__ $$a9811611947$$q(electronic bk.)
001434921 020__ $$z9811611939
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001434921 0247_ $$a10.1007/978-981-16-1194-0$$2doi
001434921 035__ $$aSP(OCoLC)1242026531
001434921 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCO$$dSFB$$dOCLCF$$dLEATE$$dBDX$$dUKMGB$$dERD$$dUKAHL$$dOCLCQ$$dOCLCO$$dCOM$$dOCLCQ
001434921 049__ $$aISEA
001434921 050_4 $$aTK6678
001434921 08204 $$a621.388/07$$223
001434921 1112_ $$aIFTC (Forum)$$n(17th :$$d2020 :$$cShanghai, China)
001434921 24510 $$aDigital TV and wireless multimedia communication :$$b17th international forum, IFTC 2020, Shanghai, China, December 2, 2020 : revised selected papers /$$cGuangtao Zhai, Jun Zhou, Hua Yang, Ping An, Xiaokang Yang (eds.).
001434921 24630 $$aIFTC 2020
001434921 264_1 $$aSingapore :$$bSpringer,$$c[2021]
001434921 300__ $$a1 online resource
001434921 336__ $$atext$$btxt$$2rdacontent
001434921 337__ $$acomputer$$bc$$2rdamedia
001434921 338__ $$aonline resource$$bcr$$2rdacarrier
001434921 4901_ $$aCommunications in computer and information science ;$$v1390
001434921 500__ $$aInternational conference proceedings.
001434921 500__ $$aIncludes author index.
001434921 5050_ $$aIntro -- Preface -- Organization -- Contents -- Image Processing -- Recurrent Multi-column 3D Convolution Network for Video Super-Resolution -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Motion Compensation on Previous SR Frame -- 3.2 3D Multi-column Block (3DMB) -- 4 Experience -- 4.1 Datasets and Training Details -- 4.2 Comparison with Other Advanced Methods -- 5 Conclusion -- References -- The Generative Adversarial Network Based on Attention Mechanism for Image Defogging -- 1 Introduction -- 2 Deep Residual Network and Memory Neural Network
001434921 5058_ $$a2.1 Deep Residual Network (RESNET) -- 2.2 Long Short-Term Memory (LSTM) -- 3 The Structure of Generative Adversarial Network Based on Attention Mechanism -- 3.1 Generative Network -- 3.2 Discriminated Network -- 3.3 Loss Function -- 3.4 Experimental Parameter Setting and Training Process -- 4 Experiments and Result Analysis -- 4.1 Subjective Evaluation -- 4.2 Objective Evaluation -- 4.3 Dehazing Results Under Different Training Times -- 4.4 Comprehensive Evaluation -- 5 Conclusion -- References -- An Image Dehazing Algorithm Based on Adaptive Correction and Red Dark Channel Prior
001434921 5058_ $$a1 Introduction -- 2 Red Dark Channel Prior Algorithms -- 2.1 Atmospheric Scattering Model -- 2.2 Dark Channel Prior Theory -- 2.3 Red Dark Channel Prior Theory -- 2.4 Transmittance -- 2.5 Atmospheric Light -- 2.6 Final Fogless Image Restoration -- 3 Post Processing of Defogging Image -- 3.1 Gamma Correction -- 3.2 Maximum Between-Class Variance Method -- 3.3 Gamma Correction Based on OTSU -- 4 Algorithm Flow Chart -- 5 Experimental Results and Analysis -- 5.1 Subjective Evaluation -- 5.2 Objective Evaluation Indicators -- 5.3 Objective Evaluation -- 6 Conclusion -- References
001434921 5058_ $$aHuman Instance Segmentation -- 1 Introduction -- 2 Related Work -- 2.1 Instance Segmentation -- 2.2 Multi-person Human Pose Estimation -- 3 Method -- 3.1 Overview -- 3.2 Evaluation -- 4 Experiments -- 4.1 Datasets -- 4.2 Results -- 5 Conclusion -- References -- UAV Aerial Image Detection Based on Improved FCOS Algorithm -- 1 Introduction -- 2 FCOS Algorithm -- 3 Improved FCOS for Aerial Images -- 3.1 Improved Fusion Layer -- 3.2 Center-Sampling Strategy -- 3.3 Improved Loss Function -- 3.4 Multi-scale Training Strategy -- 4 Experiment and Result Analysis
001434921 5058_ $$a4.1 Data Set Preparation and Model Training -- 4.2 Experimental Results and Theoretical Analysis -- 5 Conclusion -- References -- FaceCode: An Artistic Face Image with Invisible Hyperlink -- 1 Introduction -- 2 Methodology -- 2.1 Style Transfer -- 2.2 Information Hiding -- 3 Experimental Results and Analysis -- 3.1 Implementation Details -- 3.2 Results of Visual Quality -- 3.3 Results of Information Extracting -- 4 Conclusion -- References -- Single Image Deraining via Multi-scale Gated Feature Enhancement Network -- 1 Introduction -- 2 The Proposed Method -- 2.1 Network Architecture
001434921 506__ $$aAccess limited to authorized users.
001434921 520__ $$aThis book presents revised selected papers from the 17th International Forum on Digital TV and Wireless Multimedia Communication, IFTC 2020, held in Shanghai, China, in December 2020. The 21 full papers and 16 short papers presented in this volume were carefully reviewed and selected from 120 submissions. They were organized in topical sections on image processing; machine learning; quality assessment; telecommunications; video surveillance; and virtual reality.
001434921 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed April 5, 2021).
001434921 650_0 $$aDigital television$$vCongresses.
001434921 650_0 $$aWireless communication systems$$vCongresses.
001434921 650_0 $$aMultimedia communications$$vCongresses.
001434921 650_6 $$aTélévision numérique$$vCongrès.
001434921 650_6 $$aTransmission sans fil$$vCongrès.
001434921 650_6 $$aRéseaux multimédias$$vCongrès.
001434921 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001434921 655_7 $$aConference papers and proceedings.$$2lcgft
001434921 655_7 $$aActes de congrès.$$2rvmgf
001434921 655_0 $$aElectronic books.
001434921 7001_ $$aZhai, Guangtao,$$eeditor.
001434921 7001_ $$aZhou, Jun,$$eeditor.
001434921 7001_ $$aYang, Hua,$$eeditor.
001434921 7001_ $$aAn, Ping,$$eeditor.
001434921 7001_ $$aYang, Xiaokang,$$eeditor.
001434921 77608 $$iPrint version:$$aIFTC (Forum) (17th : 2020 : Shanghai, China).$$tDigital TV and wireless multimedia communication.$$dSingapore : Springer, [2021]$$z9811611939$$z9789811611933$$w(OCoLC)1237634209
001434921 830_0 $$aCommunications in computer and information science ;$$v1390.
001434921 852__ $$bebk
001434921 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-1194-0$$zOnline Access$$91397441.1
001434921 909CO $$ooai:library.usi.edu:1434921$$pGLOBAL_SET
001434921 980__ $$aBIB
001434921 980__ $$aEBOOK
001434921 982__ $$aEbook
001434921 983__ $$aOnline
001434921 994__ $$a92$$bISE