Application and Theory of Multimedia Signal Processing Using Machine Learning or Advanced Methods
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| Autore: |
Kim Cheonshik
|
| Titolo: |
Application and Theory of Multimedia Signal Processing Using Machine Learning or Advanced Methods
|
| Pubblicazione: | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica: | 1 online resource (196 p.) |
| Soggetto topico: | History of engineering & technology |
| Technology: general issues | |
| Soggetto non controllato: | AMBTC |
| BTC | |
| channel estimation error | |
| CNN-features | |
| compressed sensing | |
| connected autonomous cars | |
| constant pairing computations | |
| constant-size private key | |
| constrained backtracking matching pursuit | |
| data complexity | |
| data hiding | |
| deep learning | |
| digital signature | |
| efficient decryption | |
| fragile watermarking | |
| greedy pursuit algorithm | |
| Hamming code | |
| handwritten text recognition | |
| image processing | |
| inner product encryption | |
| latency optimization | |
| Log-mel | |
| LSB | |
| MFCC | |
| mobile edge cloud | |
| n/a | |
| named entity recognition | |
| neural network | |
| object detection | |
| physical layer security | |
| power allocation | |
| pre-trained models | |
| predicate encryption | |
| Residual Network | |
| scalograms | |
| secrecy capacity | |
| secrecy capacity optimization artificial noise | |
| secure transmission | |
| seismic patch classification | |
| self-embedding | |
| smart city | |
| sparse reconstruction | |
| transfer learning | |
| Transformer model | |
| video surveillance | |
| visual surveillance | |
| watermarking | |
| Persona (resp. second.): | KimCheonshik |
| Sommario/riassunto: | This Special Issue is a book composed by collecting documents published through peer review on the research of various advanced technologies related to applications and theories of signal processing for multimedia systems using ML or advanced methods. Multimedia signals include image, video, audio, character recognition and optimization of communication channels for networks. The specific contents included in this book are data hiding, encryption, object detection, image classification, and character recognition. Academics and colleagues who are interested in these topics will find it interesting to read. |
| Titolo autorizzato: | Application and Theory of Multimedia Signal Processing Using Machine Learning or Advanced Methods |
| ISBN: | 3-0365-5394-0 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910619469803321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |