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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 online resource (386 p.)
Soggetto topico Computer science
Information technology industries
Soggetto non controllato action recognition
active ageing
affine motion compensation
ambient assisted living
artificial intelligence
atmospheric-light estimation
attention
automatic cell segmentation
balanced sampling
bi-histogram equalization
bilingual scene text reading
block-based coding
BOF
CIELab
classification
classification accuracy
coal
coarse-to-fine search strategy
coke
component Substitution
compressed sensing
contrast ratio
convolution neural network (CNN)
convolutional neural network
convolutional neural networks
cyclical learning rates
dark channel
deep learning
deep transfer learning
dental application
details preservation
detection
DPCNN
Ethiopic script
feature extraction
fine-tuning
frame
Gene Expression Programming (GEP)
gradient
H.265/HEVC
handwritten digit recognition
haze removal
historical document analysis
homography matrix
identification
IKONOS
image analysis
image fusion
image preclassification
image processing
image quality
image registration
images
inertinite macerals
intensity correction
iron ore
label smoothing
learning rate scheduler
local dimming
local homography transformation
magnitude
motion
moving direct linear transformation
multi-scale sampling
multifractal analysis
n/a
nasal cytology
neural networks
numeral spotting
object detection
octave convolution
optical
Pan sharpening
pansharpening
parseval frame
plant recognition
Pléiades VHR Image
reactivity
remote sensing
retinex theory
RGB-D
rhinology
RIP
saliency
salient object detection
Satellite Pour l'Observation de la Terre (SPOT) 6
segmentation
shape context
shape features
silhouette sequences
sinter
small object
sparse dictionary
sparse representation
spatial consistency
spectral consistency
spectrum correction
stable recovery
structure
super-resolution (SR)
support vector machine
suspicious behavior detection
synthesis
texture
tradeoff process
transform
video coding
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
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Deep Learning-Based Action Recognition
Deep Learning-Based Action Recognition
Autore Lee Hyo Jong
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (240 p.)
Soggetto topico History of engineering & technology
Technology: general issues
Soggetto non controllato 3D skeletal
3D-CNN
action recognition
activity recognition
artificial intelligence
class regularization
class-specific features
CNN
continuous hand gesture recognition
convolutional receptive field
data augmentation
deep learning
dynamic gesture recognition
Dynamic Hand Gesture Recognition
embedded system
feature fusion
feedforward neural networks
fusion strategies
gesture classification
gesture spotting
graph convolution
hand gesture recognition
hand shape features
high-order feature
human action recognition
human activity recognition
human-computer interaction
human-machine interface
Long Short-Term Memory
multi-modal features
multi-modalities network
multi-person pose estimation
n/a
partition pose representation
partitioned centerpose network
pose estimation
real-time
spatio-temporal differential
spatio-temporal feature
spatio-temporal image formation
spatiotemporal activations
spatiotemporal feature
stacked hourglass network
transfer learning
ISBN 3-0365-5200-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910619465803321
Lee Hyo Jong  
MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Human Pose Estimation with Implicit Shape Models
Human Pose Estimation with Implicit Shape Models
Autore Brauer Jürgen
Pubbl/distr/stampa KIT Scientific Publishing, 2014
Descrizione fisica 1 online resource (XVIII, 264 p. p.)
Collana Schriftenreihe Automatische Sichtprüfung und Bildverarbeitung
Soggetto non controllato action recognition
AktionserkennungScene understanding
Bildverarbeitung
Computer vision
Human pose estimation
Menschliche Posenschätzung
Szenenverstehen
ISBN 1000039083
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910346706003321
Brauer Jürgen  
KIT Scientific Publishing, 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Image and Video Processing and Recognition Based on Artificial Intelligence
Image and Video Processing and Recognition Based on Artificial Intelligence
Autore Park Kang Ryoung
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (431 p.)
Soggetto topico Technology: general issues
Soggetto non controllato action recognition
active learning
armature
artificial image generation
artificial intelligence
autoencoders
bag of deep features
binarized statistical image features
biometrics
body orientation
bounding box regression
brain computer interface
building extraction
camera position
channel interaction
character recognition
common spatial patterns
computer vision
continuous wavelet transform
convolutional neural network
convolutional neural networks
crowd counting
cycle-consistent adversarial networks
data augmentation
deep convolutional neural networks
deep learning
depth map
domain adaptation
edges to photos
emotion recognition
entropy and response
epidermis
face image analysis
face parsing
face recognition
facial attributes classification
fast approximation
feature distillation
finger position
finger-vein recognition
fully convolutional networks
GC-LSTM model
generative adversarial net
generative adversarial network
generative adversarial network (GAN)
generative models
global context
graph matching
guidance
helicopter footage
heterogeneous database
high-resolution remote sensing image
HKPolyU-DB
homotopy iterative hard thresholding
image de-raining
image processing
image pyramid
image-to-image conversion
infrared circumferential scanning system
joint attention
K-nearest neighbors
Krawtchouk polynomials
label to photos
lighting
local context
loss function
malignant thyroid nodule
Marr wavelets
mask R-CNN
medical image fusion
monocular depth estimation
multi resolution network
multi-person
multi-scale decomposition
multi-task
multitask learning
normalized cross-correlation
object recognition
optimization
orthogonal moments
orthogonal polynomials
pathology
pose estimation
prediction system
presentation attack detection
presentation attack face images
RANSAC
remote sensing
residual network
satellite image
SDUMLA-HMT-DB
semantic segmentation
semi-supervised learning
single-sample face recognition
skin
social robotics
sparse coding
super-resolution
support vector machine
surface defect detection
surface inspection
target recognition
Tchebichef polynomials
transfer learning
typhoon
ultrasound image
unobserved database
vehicle recognition
weighted binary cross-entropy loss
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557371203321
Park Kang Ryoung  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Innovative Topologies and Algorithms for Neural Networks
Innovative Topologies and Algorithms for Neural Networks
Autore Xibilia Maria Gabriella
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (198 p.)
Soggetto topico Information technology industries
Soggetto non controllato 3D convolution neural network
action recognition
alternative fusion neural network
Arabic named entity recognition
attention mechanism
autoencoders
bidirectional gated recurrent unit
bidirectional recurrent neural network
Chinese text classification
CNN
convolution neural Networks
convolutional neural network
convolutional neural networks
deep convolutional neural networks
deep learning
distributed systems
elements recognition
embedded deep learning
facial image analysis
facial nerve paralysis
feature fusion
fully convolutional network
fused features
gesture recognition
gradient-weighted class activation maps
graph convolutional network
graph partitioning
GRU
human computer interaction
image classification
Internet of Things
IoT (Internet of Thing) systems
linguistic features
long short-term memory
long short-term-memory
long-short-term memory networks
LSTM
LSTM-CRF model
medical applications
motion map
multi-label learning
natural language processing
object detection network
object recognition
pedestrian attribute recognition
POS syntactic rules
resource-efficient inference
scalability
sentiment analysis
sentiment attention mechanism
ship identification
text recognition
tooth-marked tongue
word embedding
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557553903321
Xibilia Maria Gabriella  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Machine Learning in Image Analysis and Pattern Recognition
Machine Learning in Image Analysis and Pattern Recognition
Autore Kumar Munish
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (112 p.)
Soggetto topico Information technology industries
Soggetto non controllato action recognition
aphid
Aphoidea
automated image coding
bag-to-class
BI-RADS
breast cancer mammogram dataset
classification
clinical data
data collection methods
dataset
deep learning
detection
dissimilarity
divergence
fermentation
image classification
image processing
image segmentation
interdisciplinary learning theory
internet of things
Kullback-Leibler
lemon
machine learning
multi-instance learning
plant disease recognition
research methods
segment-based temporal modeling
systematic literature review
tea
two-stream network
ultrasound breast cancer scans
visitor use management
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557522603321
Kumar Munish  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Statistical Machine Learning for Human Behaviour Analysis
Statistical Machine Learning for Human Behaviour Analysis
Autore Moeslund Thomas
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 online resource (300 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato 3D convolutional neural networks
accuracy
action recognition
adaptive classifiers
age classification
attention allocation
attention behavior
biometric recognition
blurring detection
body movements
boundary segmentation
categorical data
committee of classifiers
concept drift
context-aware framework
convolutional neural network
deep learning
discrete stationary wavelet transform
emotion recognition
Empatica E4
ensemble methods
face analysis
face segmentation
false negative rate
fibromyalgia
fingerprint image enhancement
fingerprint quality
foggy image
frequency domain
gait event
gender classification
gestures
hand sign language
head pose estimation
hybrid entropy
individual behavior estimation
information entropy
interpretable machine learning
k-means clustering
Kinect sensor
Learning Using Concave and Convex Kernels
multi-modal
multi-objective evolutionary algorithms
multimodal-based human identification
neural networks
noisy image
object contour detection
privacy
privacy-aware
profoundly deaf
recurrent concepts
restricted Boltzmann machine (RBM)
rule-based classifiers
saliency detection
self-reported survey
silhouettes difference
single pixel single photon image acquisition
singular point detection
spatial domain
spectrograms
speech
speech emotion recognition
statistical-based time-frequency domain and crowd condition
stock price direction prediction
time-of-flight
toe-off detection
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557288403321
Moeslund Thomas  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui