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Artificial Intelligence for Multimedia Signal Processing
| Artificial Intelligence for Multimedia Signal Processing |
| Autore | Kim Byung-Gyu |
| Pubbl/distr/stampa | Basel, : MDPI Books, 2022 |
| Descrizione fisica | 1 electronic resource (212 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
human-height estimation
depth video depth 3D conversion artificial intelligence convolutional neural networks deep neural network convolutional neural network environmental sound recognition feature combination multimodal joint representation content curation social networks different recommend tasks content based recommend systems scene/place classification semantic segmentation deep learning weighting matrix speech enhancement generative adversarial network relativistic GAN lightweight neural network single image super-resolution image enhancement image restoration residual dense networks visual sentiment analysis sentiment classification graph convolutional networks generative adversarial networks traffic surveillance image processing image de-raining fluency evaluation speech recognition data augmentation variational autoencoder speech conversion heartbeat classification convolutional neural network (CNN) canonical correlation analysis (CCA) Indian Sign Language (ISL) natural language processing avatar sign movement context-free grammar object detection logical story unit detection (LSU) object re-ID computer vision image processing single image artifacts reduction dense networks residual networks channel attention networks |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910595077003321 |
Kim Byung-Gyu
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| Basel, : MDPI Books, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Beitrag zur Unterwasserbildrestauration
| Beitrag zur Unterwasserbildrestauration |
| Autore | Stephan Thomas |
| Pubbl/distr/stampa | KIT Scientific Publishing, 2017 |
| Descrizione fisica | 1 online resource (XX, 210 p. p.) |
| Collana | Schriftenreihe Automatische Sichtprüfung und Bildverarbeitung |
| Soggetto non controllato |
Bildgewinnung
Bildrestauration Bildverbesserung data retrieval image enhancement image restoration Modelierung modeling signal processing Signalverarbeitung Unterwasser |
| ISBN | 1000058567 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Record Nr. | UNINA-9910346767803321 |
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Stephan Thomas
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| KIT Scientific Publishing, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Deep Learning Applications with Practical Measured Results in Electronics Industries
| Deep Learning Applications with Practical Measured Results in Electronics Industries |
| Autore | Kung Hsu-Yang |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (272 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
A*
background model binary classification CNN compressed sensing computational intelligence content reconstruction convolutional network data fusion data partition deep learning digital shearography discrete wavelet transform dot grid target eye-tracking device faster region-based CNN forecasting foreign object GA gated recurrent unit generative adversarial network geometric errors geometric errors correction GSA-BP human computer interaction humidity sensor hyperspectral image classification image compression image inpainting image restoration imaging confocal microscope Imaging Confocal Microscope information measure instance segmentation intelligent surveillance intelligent tire manufacturing K-means clustering kinematic modelling lateral stage errors Least Squares method long short-term memory machine learning MCM uncertainty evaluation multiple constraints multiple linear regression multivariate temporal convolutional network multivariate time series forecasting neighborhood noise reduction network layer contribution neural audio caption neural networks neuro-fuzzy systems nonlinear optimization offshore wind optimization techniques oral evaluation recommender system reinforcement learning residual networks rigid body kinematics saliency information smart grid supervised learning tire bubble defects tire quality assessment trajectory planning transfer learning UAV underground mines unmanned aerial vehicle unsupervised learning update mechanism update occasion visual tracking |
| ISBN | 3-03928-864-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404080403321 |
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Kung Hsu-Yang
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 online resource (392 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
3D
acauisition function adversarial loss aerial imagery affine motion model bayesian optimization bit allocation block-compressive sensing (BCS) capacitive touchscreen CenterNet channel allocation character order preserving classification closed circuit television (CCTV) cloud computing cloud system coefficient of variation content-based image retrieval convolution neural network convolutional neural network (CNN) convolutional neural networks de-noising deep leaning deep learning deep neural architecture denoise dependency detection depth map edge preserving electrical insulator error analysis Faster R-CNN fire and smoke detection flexible partitioning focus maps frame complexity gaussian process generative adversarial network genetic algorithms image classification image deblurring image fusion image processing image restoration image retrieval image similarity image stabilization image steganalysis inter-component prediction learning rate lexicon low light machine learning marine leisure activities MCV and MLV filters motion compensation motion estimation moving object multi-focus multi-scale analysis multiple feature multiview high efficiency video coding MVD n/a noise reduction noise removal non-linear filters object detection optical flow pattern mining pattern recognition perceptual loss perspective motion model privacy risk public key cryptography (PKC) quantization (signal) rate control RetinaNet reversible data hiding reversible data hiding (RDH) RFCN saliency scalable video coding scene recognition security sentiment analysis SNIPER social media spatial and temporal SSD step-less adaptive sampling super-resolution surveillance surveillance system ternary classification texture trimaps UAVs UNIWARD vector of locally aggregated descriptor video coding video surveillance VisDrone2019 VVC Wasserstein distance wavelet analysis wavelet transform weakly supervised attention map Wiener-Granger causality WOW wrist-mounted DiverPAD YOLOv3 ρ model |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557136003321 |
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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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