Visual Quality Assessment by Machine Learning

• Main Authors: Xu, Long (Author), Lin, Weisi (Author), Kuo, C.-C. Jay (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2015.
• Series: SpringerBriefs in Electrical and Computer Engineering,
• Subjects: 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...

Table of Contents:

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