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This book offers an overview of traditional big visual data analysis approaches and provides state-of-the-art solutions for several scene comprehension problems, indoor/outdoor classification, outdoor scene classification, and outdoor scene layout estimation. It is illustrated with numerous natural and synthetic color images, and extensive statistical analysis is provided to help readers visualize big visual data distribution and the associated problems. Although there has been some research on big visual data analysis, little work has been published on big image data distribution analysis using the modern statistical approach described in this book. By presenting a complete methodology on big visual data analysis with three illustrative scene comprehension problems, it provides a generic framework that can be applied to other big visual data analysis tasks.
Applied Physics --- Electrical Engineering --- Telecommunications --- Engineering & Applied Sciences --- Electrical & Computer Engineering --- Computer vision. --- Geometry. --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Mathematics --- Euclid's Elements --- Visualization. --- Signal, Image and Speech Processing. --- Image Processing and Computer Vision. --- Visualisation --- Imagination --- Visual perception --- Imagery (Psychology) --- Signal processing. --- Image processing. --- Speech processing systems. --- Optical data processing. --- Mathematics. --- Math --- Science --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Optical equipment
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This book offers an overview of traditional big visual data analysis approaches and provides state-of-the-art solutions for several scene comprehension problems, indoor/outdoor classification, outdoor scene classification, and outdoor scene layout estimation. It is illustrated with numerous natural and synthetic color images, and extensive statistical analysis is provided to help readers visualize big visual data distribution and the associated problems. Although there has been some research on big visual data analysis, little work has been published on big image data distribution analysis using the modern statistical approach described in this book. By presenting a complete methodology on big visual data analysis with three illustrative scene comprehension problems, it provides a generic framework that can be applied to other big visual data analysis tasks.
Mathematics --- Applied physical engineering --- Computer architecture. Operating systems --- Computer. Automation --- DIP (documentimage processing) --- beeldverwerking --- visualisatie --- big data --- wiskunde --- gegevensanalyse --- ingenieurswetenschappen --- signaalverwerking
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