Visual Quality Assessment by Machine Learning (SpringerBriefs in Electrical and Computer Engineering) (SpringerBriefs in Signal Processing)

by Long Xu, Weisi Lin, and C.-C. Jay Kuo

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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.
  • ISBN13 9789812874672
  • Publish Date 27 May 2015 (first published 1 January 2015)
  • Publish Status Active
  • Publish Country SG
  • Imprint Springer Verlag, Singapore
  • Edition 2015 ed.
  • Format Paperback
  • Pages 132
  • Language English