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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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Basic Prediction Techniques in Modern Video Coding Standards / / by Byung-Gyu Kim, Kalyan Goswami
| Basic Prediction Techniques in Modern Video Coding Standards / / by Byung-Gyu Kim, Kalyan Goswami |
| Autore | Kim Byung-Gyu |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (VIII, 84 p. 60 illus., 43 illus. in color.) |
| Disciplina | 621.382 |
| Collana | SpringerBriefs in Electrical and Computer Engineering |
| Soggetto topico |
Electrical engineering
Signal processing Image processing Speech processing systems Coding theory Information theory Communications Engineering, Networks Signal, Image and Speech Processing Coding and Information Theory |
| ISBN | 3-319-39241-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Hybrid video codec structure -- Intra Prediction -- Inter Prediction -- Rate distortion cost optimization -- Fast Prediction Techniques -- Conclusion. |
| Record Nr. | UNINA-9910254238603321 |
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Kim Byung-Gyu
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| 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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