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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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High-Density Solid-State Memory Devices and Technologies
| High-Density Solid-State Memory Devices and Technologies |
| Autore | Monzio Compagnoni Christian |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (210 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
resistive switching memory
in-memory computing crosspoint array artificial intelligence deep learning dielectric RTN TAT Wiener-Khinchin transient analysis phonon surface roughness spectral index power spectrum program suspend 3D NAND Flash Solid State Drives MOSFET low-frequency noise random telegraph noise evaluation method array test pattern STT-MRAM spintronics CoFeB composite free layer low power electronics NAND Flash memory endurance reliability oxide trapped charge artificial neural networks neuromorphic computing NOR Flash memory arrays program noise pulse-width modulation 3D NAND floating gate cell charge-trap cell CMOS under array bumpless TSV WOW COW BBCube bandwidth yield power consumption thermal management |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566470403321 |
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Monzio Compagnoni Christian
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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