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210317s2021 si o 101 0 eng d |
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|2 doi
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|a IFTC (Forum)
|n (17th :
|d 2020 :
|c Shanghai, China)
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|a Digital TV and wireless multimedia communication :
|b 17th international forum, IFTC 2020, Shanghai, China, December 2, 2020 : revised selected papers /
|c Guangtao Zhai, Jun Zhou, Hua Yang, Ping An, Xiaokang Yang (eds.).
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|a IFTC 2020.
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|a Singapore :
|b Springer,
|c [2021]
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|a 1 online resource.
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|a text
|b txt
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|a computer
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|2 rdamedia.
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|a online resource
|b cr
|2 rdacarrier.
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| 490 |
1 |
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|a Communications in computer and information science ;
|v 1390.
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|a International conference proceedings.
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|a Includes author index.
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|a This 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.
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|a Online resource; title from PDF title page (SpringerLink, viewed April 5, 2021).
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|a Intro -- 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.
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|a 2.1 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.
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8 |
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|a 1 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.
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| 505 |
8 |
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|a Human 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.
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| 505 |
8 |
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|a 4.1 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.
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| 540 |
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|a Current copyright fee: GBP19.00
|c 42\0.
|5 Uk.
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| 506 |
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|a Access restricted to registered UOB users with valid accounts.
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| 650 |
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|a Digital television
|v Congresses.
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| 650 |
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|a Wireless communication systems
|v Congresses.
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| 650 |
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|a Multimedia communications
|v Congresses.
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|a Artificial intelligence.
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| 650 |
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2 |
|a Computers.
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|a Artificial Intelligence.
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|a Télévision numérique
|v Congrès.
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|a Transmission sans fil
|v Congrès.
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|a Réseaux multimédias
|v Congrès.
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|a Ordinateurs.
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|a Intelligence artificielle.
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|a computers.
|2 aat.
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|a artificial intelligence.
|2 aat.
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|a Digital television.
|2 fast.
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|a Multimedia communications.
|2 fast.
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|a Wireless communication systems.
|2 fast.
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|a Congress.
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|a proceedings (reports)
|2 aat.
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|a Conference papers and proceedings.
|2 fast.
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|a Conference papers and proceedings.
|2 lcgft.
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|a Actes de congrès.
|2 rvmgf.
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| 700 |
1 |
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|a Zhai, Guangtao,
|e editor.
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| 700 |
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|a Zhou, Jun,
|e editor.
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1 |
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|a Yang, Hua,
|e editor.
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|a An, Ping,
|e editor.
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| 700 |
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|a Yang, Xiaokang,
|e editor.
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2 |
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|a SpringerLink (Online service)
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|w (OCoLC)1412479999.
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8 |
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|a IFTC (Forum) (17th : 2020 : Shanghai, China).
|t Digital TV and wireless multimedia communication.
|d Singapore : Springer, [2021]
|z 9811611939
|z 9789811611933
|w (OCoLC)1237634209.
|
| 830 |
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0 |
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|v 1390.
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|a MARCIVE Comprehensive, in 2023.02
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|a MARCIVE Over, 07/2021
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|a MARCIVE Over, 05/2021
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|a Marcive found issue: "111 2
|a IFTC (Forum)
|n (17th :
|d 2020 :
|c Shanghai, China)"
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