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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Visual Quality Assessment by Machine Learning

Visual Quality Assessment by Machine Learning

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

Paperback

Technology & EngineeringProgramming

ISBN10: 9812874674
ISBN13: 9789812874672
Publisher: Springer
Published: May 27 2015
Pages: 132
Weight: 0.48
Height: 0.32 Width: 6.14 Depth: 9.21
Language: English
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.

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