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Digital Signal, Image and Video Processing for Emerging Multimedia Technology
| Digital Signal, Image and Video Processing for Emerging Multimedia Technology |
| Autore | Kim Byung-Gyu |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (392 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
closed circuit television (CCTV)
character order preserving cloud system privacy risk security video surveillance 3D depth map inter-component prediction MVD reversible data hiding texture wavelet analysis deep learning super-resolution deep neural architecture pattern mining multi-scale analysis reversible data hiding (RDH) image processing cloud computing public key cryptography (PKC) classification content-based image retrieval genetic algorithms image retrieval image classification Wiener-Granger causality block-compressive sensing (BCS) saliency error analysis flexible partitioning step-less adaptive sampling non-linear filters MCV and MLV filters de-noising noise removal edge preserving video coding motion estimation motion compensation affine motion model perspective motion model VVC quantization (signal) channel allocation scalable video coding convolution neural network scene recognition vector of locally aggregated descriptor weakly supervised attention map fire and smoke detection spatial and temporal wavelet transform coefficient of variation image steganalysis WOW UNIWARD ternary classification convolutional neural network (CNN) bayesian optimization gaussian process learning rate acauisition function machine learning moving object image stabilization object detection optical flow surveillance UAVs multiview high efficiency video coding ρ model bit allocation rate control image similarity frame complexity image deblurring generative adversarial network Wasserstein distance adversarial loss perceptual loss sentiment analysis social media lexicon image fusion multi-focus trimaps focus maps VisDrone2019 aerial imagery Faster R-CNN SSD RFCN YOLOv3 RetinaNet SNIPER CenterNet wrist-mounted DiverPAD electrical insulator capacitive touchscreen marine leisure activities convolutional neural networks pattern recognition low light image restoration denoise noise reduction deep leaning multiple feature dependency detection surveillance system |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557136003321 |
Kim Byung-Gyu
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intermittency and Self-Organisation in Turbulence and Statistical Mechanics
| Intermittency and Self-Organisation in Turbulence and Statistical Mechanics |
| Autore | Kim Eun-jin |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (298 p.) |
| Soggetto non controllato |
non-locality
hybrid (U)RANS-LES channel flow thermodynamics Lévy noise non-local theory low speed streaks drop breakage pipe flow boundary layer bifurcation Langevin equation attached and separated flows anomalous diffusion kinetic theory stochastic processes self-organisation spatiotemporal chaos chaos bifurcations turbulent flow Lyapunov theory Rushton turbine turbulence intermittency information length denoise microcavity laser free vortex wake IDDES methodology local intermittency control strategy population balance equation Tsallis entropy coherent structures Fokker-Planck equation energy cascade fluid dynamics high efficiency impeller fractals large eddy simulation shear flows heat transport multifractal drop coalescence continuous wavelet transform T-junction scaling properties floating wind turbine scaling fractional Fokker–Plank equation magnetic confinement fusion multi-scale problem coherent structure solar wind trailing-edge flap turbulent transition turbulent boundary layer complex dynamics statistical mechanics |
| ISBN | 3-03921-109-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346666703321 |
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Kim Eun-jin
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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