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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.

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 --- n/a --- content-based image retrieval

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• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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.

History of engineering & technology --- 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 --- n/a --- content-based image retrieval

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Symmetry and complexity are studied by a selection of outstanding papers ranging from pure Mathematics and Physics to Computer Science and Engineering applications. In this Special Issue, the authors give a short but intensive description of the many applications of the basic structure of symmetry and complexity in many fields. Some interesting results were given in the Hydrodynamic Analysis of 3-D Hydrofoil and Marine Propeller and in the SAT Problems. The Study on Hypergraph Representations of Complex Fuzzy Information shows the importance of methods based on symmetry and complexity. A deep study of Information Technology Services in Public Organizations has been given in this issue, together with some interesting papers dealing with Adaptive Block Truncation Coding Based on an Edge-Based Quantization, SIR Model in a Patchy Environment, and the Evolution of Conformity Dynamics in Complex Social Networks. Another interesting paper provides some new insights into the Novel Computational Technique for Impulsive Fractional Differential Equations. In this collection, An Intelligent Approach for Handling Complexity by Migrating from Conventional Databases to Big Data shows the importance of such topics related to complexity.

big data --- complexity --- NoSQL databases --- Oracle NoSQL --- data migration --- B-spline scheme --- dihedral hydrofoil --- hydrodynamics --- marine propeller --- propeller wake --- sweptback hydrofoil --- surface panel method --- fractional derivative --- Adomian method --- computational technique --- conformity --- evolutionary dynamics --- ring network --- small-world network --- scale-free network --- epidemic model --- irreducible matrix --- Metzler matrix --- disease transition and transmission matrices --- decentralized control --- disease-free and endemic equilibrium points --- Moore–Penrose pseudoinverse --- next generation matrix --- patchy environment --- vaccination controls --- numerical inverse Laplace transform --- orthonormalized Bernstein polynomials --- operational matrices --- fractional differential equations --- BTC --- edge-based quantization --- reversible data hiding --- histogram shifting technique --- directional hölder regularity --- anisotropic hölder regularity --- directional scaling function --- anisotropic scaling function --- directional multifractal formalism --- wavelet bases --- sierpinski cascade functions --- fractional brownian sheets --- nonlinear equations --- multiple roots --- higher order methods --- attraction basins --- service identification --- IT service --- IT services catalog --- IT services portfolio --- multiobjective --- symmetric duality --- second-order --- nondifferentiable --- fractional programming --- support function --- Gf-bonvexity/Gf-pseudobonvexity --- complex q-rung orthopair fuzzy set --- complex q-rung orthopair fuzzy graphs --- complex q-rung orthopair fuzzy hypergraphs --- transversals --- SAT problem --- membrane computing --- P system --- splitting rule