Application and Theory of Multimedia Signal Processing Using Machine Learning or Advanced Methods

© 2022 by the authors; CC BY-NC-ND license

data hiding; AMBTC; BTC; Hamming code; LSB; predicate encryption; inner product encryption; constant-size private key; efficient decryption; constant pairing computations; watermarking; self-embedding; digital signature; AMBTC; fragile watermarking; constrained backtracking matching pursuit; sparse reconstruction; compressed sensing; greedy pursuit algorithm; image processing; visual surveillance; deep learning; object detection; object detection; latency optimization; mobile edge cloud; connected autonomous cars; smart city; video surveillance; physical layer security; secure transmission; secrecy capacity; secrecy capacity optimization artificial noise; power allocation; channel estimation error; neural network; transfer learning; scalograms; MFCC; Log-mel; pre-trained models; seismic patch classification; CNN-features; transfer learning; data complexity; handwritten text recognition; Residual Network; Transformer model; object detection; named entity recognition; n/a