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Visual Quality Assessment by Machine Learning

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...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Xu, Long (Author), Lin, Weisi (Author), Kuo, C.-C. Jay (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2015.
Edition:1st ed. 2015.
Series:SpringerBriefs in Signal Processing,
Subjects:
Online Access:Texto Completo
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.