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For many decades, researchers have been trying to make computers’ analysis of images as effective as the system of human vision is. For this purpose, many algorithms and systems have previously been created. The whole process covers various stages, including image processing, representation and recognition. The results of this work can be applied to many computer-assisted areas of everyday life. They improve particular activities and provide handy tools, which are sometimes only for entertainment, but quite often, they significantly increase our safety. In fact, the practical implementation of image processing algorithms is particularly wide. Moreover, the rapid growth of computational complexity and computer efficiency has allowed for the development of more sophisticated and effective algorithms and tools. Although significant progress has been made so far, many issues still remain, resulting in the need for the development of novel approaches.
Information technology industries --- Computer science --- 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 --- 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
Choose an application
For many decades, researchers have been trying to make computers’ analysis of images as effective as the system of human vision is. For this purpose, many algorithms and systems have previously been created. The whole process covers various stages, including image processing, representation and recognition. The results of this work can be applied to many computer-assisted areas of everyday life. They improve particular activities and provide handy tools, which are sometimes only for entertainment, but quite often, they significantly increase our safety. In fact, the practical implementation of image processing algorithms is particularly wide. Moreover, the rapid growth of computational complexity and computer efficiency has allowed for the development of more sophisticated and effective algorithms and tools. Although significant progress has been made so far, many issues still remain, resulting in the need for the development of novel approaches.
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 --- n/a --- Pléiades VHR Image --- Satellite Pour l'Observation de la Terre (SPOT) 6
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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
Choose an application
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 --- 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
Choose an application
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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