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Digital Signal, Image and Video Processing for Emerging Multimedia Technology

Digital Signal, Image and Video Processing for Emerging Multimedia Technology

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This book presents collective works published in the recent Special Issue (SI) entitled " Digital Signal, Image and Video Processing for Emerging Multimedia Technology". These works address the emerging technology in signal processing and its new aspects, as well as the related applications. Recent developments in image/video-based deep learning technology have enabled new services in the field of multimedia and recognition technology. The applications vary and range from digital signal processing to image, video and multimedia signal processing, also including object classification, learning mechanism design and data security. Recent advances in numerical, theoretical and experimental methodologies are presented within the scope of the current book, along with the finding of new learning methods and new methodological developments and their limitations. This book brings together a collection of inter-/multidisciplinary works applied to many classification and data security applications in a coherent manner.

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Keywords

  • 3D
  • acauisition function
  • adversarial loss
  • aerial imagery
  • affine motion model
  • bayesian optimization
  • bit allocation
  • block-compressive sensing (BCS)
  • capacitive touchscreen
  • CenterNet
  • channel allocation
  • character order preserving
  • Classification
  • closed circuit television (CCTV)
  • Cloud computing
  • cloud system
  • coefficient of variation
  • content–based image retrieval
  • convolution neural network
  • convolutional neural network (CNN)
  • convolutional neural networks
  • de-noising
  • deep leaning
  • deep learning
  • deep neural architecture
  • denoise
  • dependency detection
  • depth map
  • edge preserving
  • electrical insulator
  • Error analysis
  • Faster R-CNN
  • fire and smoke detection
  • flexible partitioning
  • focus maps
  • frame complexity
  • Gaussian process
  • generative adversarial network
  • Genetic algorithms
  • History of engineering & technology
  • image classification
  • image deblurring
  • image fusion
  • Image processing
  • image restoration
  • image retrieval
  • image similarity
  • Image Stabilization
  • image steganalysis
  • inter-component prediction
  • learning rate
  • lexicon
  • Low light
  • Machine learning
  • marine leisure activities
  • MCV and MLV filters
  • motion compensation
  • motion estimation
  • moving object
  • multi-focus
  • multi-scale analysis
  • multiple feature
  • multiview high efficiency video coding
  • MVD
  • n/a
  • noise reduction
  • noise removal
  • non-linear filters
  • object detection
  • optical flow
  • pattern mining
  • pattern recognition
  • perceptual loss
  • perspective motion model
  • privacy risk
  • public key cryptography (PKC)
  • quantization (signal)
  • rate control
  • RetinaNet
  • reversible data hiding
  • reversible data hiding (RDH)
  • RFCN
  • saliency
  • scalable video coding
  • scene recognition
  • security
  • sentiment analysis
  • SNIPER
  • Social media
  • spatial and temporal
  • SSD
  • step-less adaptive sampling
  • super-resolution
  • surveillance
  • surveillance system
  • Technology, engineering, agriculture
  • Technology: general issues
  • ternary classification
  • Texture
  • trimaps
  • UAVs
  • UNIWARD
  • vector of locally aggregated descriptor
  • video coding
  • Video surveillance
  • VisDrone2019
  • VVC
  • Wasserstein distance
  • wavelet analysis
  • wavelet transform
  • weakly supervised attention map
  • Wiener-Granger causality
  • WOW
  • wrist-mounted DiverPAD
  • YOLOv3
  • ρ model

Links

DOI: 10.3390/books978-3-03943-858-7

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