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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 electronic resource (XX, 210 p. p.) |
| Collana | Schriftenreihe Automatische Sichtprüfung und Bildverarbeitung |
| Soggetto non controllato |
data retrieval
image enhancement modeling image restoration Unterwasser signal processing Modelierung Bildverbesserung Bildrestauration Signalverarbeitung Bildgewinnung |
| 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 electronic resource (272 p.) |
| Soggetto non controllato |
faster region-based CNN
visual tracking intelligent tire manufacturing eye-tracking device neural networks A* information measure oral evaluation GSA-BP tire quality assessment humidity sensor rigid body kinematics intelligent surveillance residual networks imaging confocal microscope update mechanism multiple linear regression geometric errors correction data partition Imaging Confocal Microscope image inpainting lateral stage errors dot grid target K-means clustering unsupervised learning recommender system underground mines digital shearography optimization techniques saliency information gated recurrent unit multivariate time series forecasting multivariate temporal convolutional network foreign object data fusion update occasion generative adversarial network CNN compressed sensing background model image compression supervised learning geometric errors UAV nonlinear optimization reinforcement learning convolutional network neuro-fuzzy systems deep learning image restoration neural audio caption hyperspectral image classification neighborhood noise reduction GA MCM uncertainty evaluation binary classification content reconstruction kinematic modelling long short-term memory transfer learning network layer contribution instance segmentation smart grid unmanned aerial vehicle forecasting trajectory planning discrete wavelet transform machine learning computational intelligence tire bubble defects offshore wind multiple constraints human computer interaction Least Squares method |
| 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 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 |
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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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