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Deep learning (Machine learning) --- Observation (Scientific method) --- Learning, Deep (Machine learning) --- Iterative methods (Mathematics) --- Machine learning --- Science --- Methodology

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The book encompasses the state-of-the-art visual quality assessment (VQA) and learning based visual quality assessment (LB-VQA) by providing a comprehensive overview of the existing relevant methods. It delivers the readers the basic knowledge, systematic overview and new development of VQA. It also encompasses the preliminary knowledge of Machine Learning (ML) to VQA tasks and newly developed ML techniques for the purpose. Hence, firstly, it is particularly helpful to the beginner-readers (including research students) to enter into VQA field in general and LB-VQA one in particular. Secondly, new development in VQA and LB-VQA particularly are detailed in this book, which will give peer researchers and engineers new insights in VQA.

Engineering. --- Signal, Image and Speech Processing. --- Image Processing and Computer Vision. --- Computational Intelligence. --- Computer vision. --- Ingénierie --- Vision par ordinateur --- Engineering & Applied Sciences --- Electrical & Computer Engineering --- Telecommunications --- Electrical Engineering --- Applied Physics --- Image processing. --- Computational intelligence. --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Construction --- Industrial arts --- Technology --- Machine vision --- Vision, Computer --- Image processing --- Pattern recognition systems --- Signal processing. --- Speech processing systems. --- Optical data processing. --- 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 --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Optical equipment --- Machine learning. --- Digital techniques. --- Digital image processing --- Digital electronics --- Learning, Machine --- Machine theory

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

The book encompasses the state-of-the-art visual quality assessment (VQA) and learning based visual quality assessment (LB-VQA) by providing a comprehensive overview of the existing relevant methods. It delivers the readers the basic knowledge, systematic overview and new development of VQA. It also encompasses the preliminary knowledge of Machine Learning (ML) to VQA tasks and newly developed ML techniques for the purpose. Hence, firstly, it is particularly helpful to the beginner-readers (including research students) to enter into VQA field in general and LB-VQA one in particular. Secondly, new development in VQA and LB-VQA particularly are detailed in this book, which will give peer researchers and engineers new insights in VQA.

Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- neuronale netwerken --- DIP (documentimage processing) --- beeldverwerking --- fuzzy logic --- cybernetica --- spraaktechnologie --- KI (kunstmatige intelligentie) --- signaalverwerking