Visual Quality Assessment by Machine Learning

• Κύριοι συγγραφείς: Xu, Long (Συγγραφέας), Lin, Weisi (Συγγραφέας), Kuo, C.-C. Jay (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2015.
• Σειρά: SpringerBriefs in Electrical and Computer Engineering,
• Θέματα: Engineering.; Image processing.; Computational intelligence.; Signal, Image and Speech Processing.; Image Processing and Computer Vision.; Computational Intelligence.

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...

Πίνακας περιεχομένων:

• Introduction
• Fundamental knowledges of machine learning
• Image features and feature processing
• Feature pooling by learning
• Metrics fusion
• Summary and remarks for future research.