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Advances in Image Processing, Analysis and Recognition Technology
Advances in Image Processing, Analysis and Recognition Technology
Autore Frejlichowski Dariusz
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (386 p.)
Soggetto topico Information technology industries
Computer science
Soggetto non controllato CIELab
component Substitution
Pan sharpening
Pléiades VHR Image
coal
inertinite macerals
classification
multifractal analysis
support vector machine
block-based coding
video coding
H.265/HEVC
affine motion compensation
image registration
homography matrix
local homography transformation
convolutional neural network
moving direct linear transformation
super-resolution (SR)
convolution neural network (CNN)
Gene Expression Programming (GEP)
deep learning
image preclassification
suspicious behavior detection
motion
magnitude
gradient
reactivity
saliency
haze removal
dark channel
atmospheric-light estimation
coarse-to-fine search strategy
sparse dictionary
stable recovery
frame
RIP
local dimming
retinex theory
bi-histogram equalization
contrast ratio
details preservation
pansharpening
image fusion
image quality
Satellite Pour l'Observation de la Terre (SPOT) 6
spectral consistency
spatial consistency
synthesis
artificial intelligence
dental application
images
detection
parseval frame
transform
sparse representation
octave convolution
bilingual scene text reading
Ethiopic script
attention
nasal cytology
automatic cell segmentation
rhinology
image analysis
feature extraction
shape context
plant recognition
DPCNN
BOF
numeral spotting
historical document analysis
convolutional neural networks
deep transfer learning
handwritten digit recognition
spectrum correction
intensity correction
compressed sensing
tradeoff process
IKONOS
remote sensing
fine-tuning
learning rate scheduler
cyclical learning rates
label smoothing
classification accuracy
neural networks
salient object detection
RGB-D
object detection
small object
multi-scale sampling
balanced sampling
texture
structure
optical
coke
iron ore
sinter
image processing
segmentation
identification
action recognition
silhouette sequences
shape features
ambient assisted living
active ageing
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910576879103321
Frejlichowski Dariusz  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Kim Byung-Gyu  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui