top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Artificial Intelligence for Multimedia Signal Processing
Artificial Intelligence for Multimedia Signal Processing
Autore Kim Byung-Gyu
Pubbl/distr/stampa Basel, : MDPI Books, 2022
Descrizione fisica 1 electronic resource (212 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato human-height estimation
depth video
depth 3D conversion
artificial intelligence
convolutional neural networks
deep neural network
convolutional neural network
environmental sound recognition
feature combination
multimodal joint representation
content curation social networks
different recommend tasks
content based recommend systems
scene/place classification
semantic segmentation
deep learning
weighting matrix
speech enhancement
generative adversarial network
relativistic GAN
lightweight neural network
single image super-resolution
image enhancement
image restoration
residual dense networks
visual sentiment analysis
sentiment classification
graph convolutional networks
generative adversarial networks
traffic surveillance image processing
image de-raining
fluency evaluation
speech recognition
data augmentation
variational autoencoder
speech conversion
heartbeat classification
convolutional neural network (CNN)
canonical correlation analysis (CCA)
Indian Sign Language (ISL)
natural language processing
avatar
sign movement
context-free grammar
object detection
logical story unit detection (LSU)
object re-ID
computer vision
image processing
single image artifacts reduction
dense networks
residual networks
channel attention networks
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910595077003321
Kim Byung-Gyu  
Basel, : MDPI Books, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Techniques and Applications of UAV-Based Photogrammetric 3D Mapping
Techniques and Applications of UAV-Based Photogrammetric 3D Mapping
Autore Jiang Wanshou
Descrizione fisica 1 online resource (294 p.)
Soggetto topico History of engineering & technology
Technology: general issues
Soggetto non controllato 3D point cloud
3D reconstruction
aerial triangulation
affine invariant feature
aggregate semantic information
airborne LiDAR
Brown model
building extraction
building façade
building footprint
building height
camera self-calibration
coal mine
compound building reconstruction
convolutional neural network
coplanar extraction
cycle consistency inference
deep convolutional neural network
deep learning
deformation detection
dense shortcut
depth estimation
depth map fusion
detail preserving
digital photogrammetry
digital subsidence model
effective feature distillation
feature pyramid
geometric topology
GF-7 image
high-frequency loss
high-resolution remote sensing images
homography matrix
image matching
indoor scene
least square fitting
LiDAR
lightweight image super-resolution
match pair
multi-view
multi-view reconstruction
multiscale features
n/a
PatchMatch
photogrammetric mesh model
point cloud
point clouds
polynomial model
power lines
red-black propagation
repetitive structure
semantic decomposition
semantic segmentation
single image super-resolution
spatial eight-quadrant kernel convolution
structure from motion
surface meshing
surface subsidence
texture mapping
U-shaped residual network
UAV inspection
very short baseline
wide-baseline stereo image
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910595072603321
Jiang Wanshou  
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui