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

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

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,...

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Sonstige:
Kim, Cheonshik
Year of Publication:2022
Language:English
Physical Description:1 electronic resource (196 p.)
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spelling Kim, Cheonshik edt
Application and Theory of Multimedia Signal Processing Using Machine Learning or Advanced Methods
MDPI - Multidisciplinary Digital Publishing Institute 2022
1 electronic resource (196 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Open access Unrestricted online access star
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.
English
Technology: general issues bicssc
History of engineering & technology bicssc
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
fragile watermarking
constrained backtracking matching pursuit
sparse reconstruction
compressed sensing
greedy pursuit algorithm
image processing
visual surveillance
deep learning
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
data complexity
handwritten text recognition
Residual Network
Transformer model
named entity recognition
3-0365-5393-2
Kim, Cheonshik oth
language English
format eBook
author2 Kim, Cheonshik
author_facet Kim, Cheonshik
author2_variant c k ck
author2_role Sonstige
title Application and Theory of Multimedia Signal Processing Using Machine Learning or Advanced Methods
spellingShingle Application and Theory of Multimedia Signal Processing Using Machine Learning or Advanced Methods
title_full Application and Theory of Multimedia Signal Processing Using Machine Learning or Advanced Methods
title_fullStr Application and Theory of Multimedia Signal Processing Using Machine Learning or Advanced Methods
title_full_unstemmed Application and Theory of Multimedia Signal Processing Using Machine Learning or Advanced Methods
title_auth Application and Theory of Multimedia Signal Processing Using Machine Learning or Advanced Methods
title_new Application and Theory of Multimedia Signal Processing Using Machine Learning or Advanced Methods
title_sort application and theory of multimedia signal processing using machine learning or advanced methods
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2022
physical 1 electronic resource (196 p.)
isbn 3-0365-5394-0
3-0365-5393-2
illustrated Not Illustrated
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is_hierarchy_title Application and Theory of Multimedia Signal Processing Using Machine Learning or Advanced Methods
author2_original_writing_str_mv noLinkedField
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