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This book is to chart the progress in applying machine learning, including deep learning, to a broad range of image analysis and pattern recognition problems and applications. In this book, we have assembled original research articles making unique contributions to the theory, methodology and applications of machine learning in image analysis and pattern recognition.

Information technology industries --- machine learning --- deep learning --- image processing --- classification --- tea --- fermentation --- automated image coding --- data collection methods --- interdisciplinary learning theory --- research methods --- systematic literature review --- visitor use management --- image classification --- multi-instance learning --- divergence --- dissimilarity --- bag-to-class --- Kullback–Leibler --- segment-based temporal modeling --- two-stream network --- action recognition --- internet of things --- detection --- dataset --- plant disease recognition --- image segmentation --- aphid --- Aphoidea --- lemon --- breast cancer mammogram dataset --- ultrasound breast cancer scans --- BI-RADS --- clinical data --- machine learning --- deep learning --- image processing --- classification --- tea --- fermentation --- automated image coding --- data collection methods --- interdisciplinary learning theory --- research methods --- systematic literature review --- visitor use management --- image classification --- multi-instance learning --- divergence --- dissimilarity --- bag-to-class --- Kullback–Leibler --- segment-based temporal modeling --- two-stream network --- action recognition --- internet of things --- detection --- dataset --- plant disease recognition --- image segmentation --- aphid --- Aphoidea --- lemon --- breast cancer mammogram dataset --- ultrasound breast cancer scans --- BI-RADS --- clinical data

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As technology becomes an ever-more prevalent part of everyday life, and population-based physical activity programs seek new ways to increase life-long engagement with physical activity, these two ideas have become increasingly linked. This Special Issue attempts to offer a thorough and critical examination of emerging technologies in physical activity and health promotion, considering technological interventions in different contexts (communities, clinics, schools, homes, etc.) among various populations, exploring the challenges of integrating technology into physical activity promotion, and offering solutions for its implementation. This Special Issue aims to take a broadly positive stance toward interactive technology initiatives and, while discussing some negative implications of an increased use of technology, offers practical recommendations for promoting physical activity through various emerging technologies, including, but not limited to: Active video games (exergaming); social media; mobile device apps; health wearables; mobile games, augmented reality games, global positioning and geographic information systems; and virtual reality. Offering a logical and clear critique of emerging technologies in physical activity and health promotion, this Special Issue will provide useful suggestions and practical implications for researchers, practitioners, and educators in the fields of public health, kinesiology, physical activity and health, and healthcare.

virtual reality --- Amazon Web Services --- wrist-worn activity tracker --- sex difference --- motor skill competence --- mental health --- physical activity assessment --- mHealth --- augmented reality --- musculoskeletal fitness --- health navigator --- Google Glass --- cardiorespiratory fitness --- fitness --- safety --- moderate-to-vigorous physical activity --- young children --- serious games --- autism spectrum disorder --- physical exercise --- locomotor skills --- active video game --- air quality --- app --- Google --- perceived environmental factor --- motor activity --- active video gaming --- anxiety --- digital health --- narrative review --- preoperative experience --- real-time physical activity --- quality of life --- smartglasses --- Amazon --- intelligence quotient --- mobile phone-based health intervention --- Korean American immigrant women --- Fitbits --- exercise --- epoch --- wearable technology --- measurement --- active video games --- preoperative anxiety --- sedentary behaviour --- mammogram --- sedentary behavior --- heart rate --- social cognitive theory --- senior citizens --- social communication --- breast cancer --- technology --- physical activity --- Autism --- accelerometry --- socio-ecological model --- light physical activity --- recreational physical activity --- screen based sedentary behavior --- accelerometers --- placement site --- virtual reality game --- pedometers --- object control skills --- depression --- physical activity levels

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As technology becomes an ever-more prevalent part of everyday life, and population-based physical activity programs seek new ways to increase life-long engagement with physical activity, these two ideas have become increasingly linked. This Special Issue attempts to offer a thorough and critical examination of emerging technologies in physical activity and health promotion, considering technological interventions in different contexts (communities, clinics, schools, homes, etc.) among various populations, exploring the challenges of integrating technology into physical activity promotion, and offering solutions for its implementation. This Special Issue aims to take a broadly positive stance toward interactive technology initiatives and, while discussing some negative implications of an increased use of technology, offers practical recommendations for promoting physical activity through various emerging technologies, including, but not limited to: Active video games (exergaming); social media; mobile device apps; health wearables; mobile games, augmented reality games, global positioning and geographic information systems; and virtual reality. Offering a logical and clear critique of emerging technologies in physical activity and health promotion, this Special Issue will provide useful suggestions and practical implications for researchers, practitioners, and educators in the fields of public health, kinesiology, physical activity and health, and healthcare.

virtual reality --- Amazon Web Services --- wrist-worn activity tracker --- sex difference --- motor skill competence --- mental health --- physical activity assessment --- mHealth --- augmented reality --- musculoskeletal fitness --- health navigator --- Google Glass --- cardiorespiratory fitness --- fitness --- safety --- moderate-to-vigorous physical activity --- young children --- serious games --- autism spectrum disorder --- physical exercise --- locomotor skills --- active video game --- air quality --- app --- Google --- perceived environmental factor --- motor activity --- active video gaming --- anxiety --- digital health --- narrative review --- preoperative experience --- real-time physical activity --- quality of life --- smartglasses --- Amazon --- intelligence quotient --- mobile phone-based health intervention --- Korean American immigrant women --- Fitbits --- exercise --- epoch --- wearable technology --- measurement --- active video games --- preoperative anxiety --- sedentary behaviour --- mammogram --- sedentary behavior --- heart rate --- social cognitive theory --- senior citizens --- social communication --- breast cancer --- technology --- physical activity --- Autism --- accelerometry --- socio-ecological model --- light physical activity --- recreational physical activity --- screen based sedentary behavior --- accelerometers --- placement site --- virtual reality game --- pedometers --- object control skills --- depression --- physical activity levels --- virtual reality --- Amazon Web Services --- wrist-worn activity tracker --- sex difference --- motor skill competence --- mental health --- physical activity assessment --- mHealth --- augmented reality --- musculoskeletal fitness --- health navigator --- Google Glass --- cardiorespiratory fitness --- fitness --- safety --- moderate-to-vigorous physical activity --- young children --- serious games --- autism spectrum disorder --- physical exercise --- locomotor skills --- active video game --- air quality --- app --- Google --- perceived environmental factor --- motor activity --- active video gaming --- anxiety --- digital health --- narrative review --- preoperative experience --- real-time physical activity --- quality of life --- smartglasses --- Amazon --- intelligence quotient --- mobile phone-based health intervention --- Korean American immigrant women --- Fitbits --- exercise --- epoch --- wearable technology --- measurement --- active video games --- preoperative anxiety --- sedentary behaviour --- mammogram --- sedentary behavior --- heart rate --- social cognitive theory --- senior citizens --- social communication --- breast cancer --- technology --- physical activity --- Autism --- accelerometry --- socio-ecological model --- light physical activity --- recreational physical activity --- screen based sedentary behavior --- accelerometers --- placement site --- virtual reality game --- pedometers --- object control skills --- depression --- physical activity levels

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Research in colour and texture has experienced major changes in the last few years. This book presents some recent advances in the field, specifically in the theory and applications of colour texture analysis. This volume also features benchmarks, comparative evaluations and reviews.

Information technology industries --- Machine vision --- image analysis --- item counting device --- electro-deposition industry --- digital intraoral radiography --- image preprocessing --- periapical lesions --- texture analysis --- prostate cancer --- histopathology --- microscopic --- tissue image --- segmentation --- morphological --- quantitative --- classification --- SVM --- image resizing --- local Tchebichef moments (LTM) --- scaling --- scale-and-stretch --- seam carving --- faster R-CNN --- cutting pieces --- multi-period pattern --- skew angle --- period length --- colored texture pattern classification --- global–local texture classification --- color–texture features --- color–texture feature extraction --- bagging post-processing --- BQMP and Haralick global–local feature integration --- maceral components --- image segmentation --- coal petrography --- random forest --- two-level clustering --- deep neural networks --- adaptive gradient methods --- stochastic gradient descent --- bounded scheduling method --- image classification --- language modeling --- texture --- deep learning --- MB-LBP --- surface defect detection --- feature extraction --- defect recognition --- mammogram --- meta-heuristics --- optimization --- breast cancer --- detection --- skin microrelief --- water sorption --- aging --- hair --- mathematics of colour and texture --- hand-designed image descriptors --- rank features --- partial orders --- river scene segmentation --- local binary pattern --- hue variance --- surface reflection --- audio classification --- dissimilarity space --- siamese network --- ensemble of classifiers --- pattern recognition --- animal audio --- co-saliency --- omnidirectional images --- video saliency --- visual saliency estimation --- n/a --- global-local texture classification --- color-texture features --- color-texture feature extraction --- BQMP and Haralick global-local feature integration