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Palabras clave – provistas por la editorial

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