Visual Quality Assessment by Machine Learning

丛 书 名：SpringerBriefs in Electrical and Computer Engineering

版本说明：1

作     者：Long Xu, Weisi Lin, C.-C. Jay Kuo (auth.) 

I S B N：(纸本) 9789812874672;9789812874689 

出 版 社：Springer-Verlag Singapur 

出 版 年：2015年

页      数：142页

主 题 词：Machine learning. Image processing Digital techniques. 

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

摘      要：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.