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Visual Quality Assessment by Machine Learning. SpringerBriefs in Signal Processing

Visual Quality Assessment by Machine Learning. SpringerBriefs in Signal Processing - SpringerBriefs in Electrical and Computer Engineering

2015

Paperback (27 May 2015)

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Publisher's Synopsis

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.

Book information

ISBN: 9789812874672
Publisher: Springer Nature Singapore
Imprint: Springer
Pub date:
Edition: 2015
Language: English
Number of pages: 132
Weight: 218g
Height: 235mm
Width: 155mm
Spine width: 8mm