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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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Détails bibliographiques
Cote:Libro Electrónico
Auteurs principaux: Xu, Long (Auteur), Lin, Weisi (Auteur), Kuo, C.-C. Jay (Auteur)
Collectivité auteur: SpringerLink (Online service)
Format: Électronique eBook
Langue:Inglés
Publié: Singapore : Springer Nature Singapore : Imprint: Springer, 2015.
Édition:1st ed. 2015.
Collection:SpringerBriefs in Signal Processing,
Sujets:
Accès en ligne:Texto Completo
Table des matières:
  • Introduction
  • Fundamental knowledges of machine learning
  • Image features and feature processing
  • Feature pooling by learning
  • Metrics fusion
  • Summary and remarks for future research.