Gottfried Vossen; Darrell D. E. Long; Jeffrey Xu Yu Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2009) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Sio-long Ao (ed.); Hideki Katagiri (ed.); Li Xu (ed.); Alan Hoi-Shou Chan (ed.) American Institute of Physics (2010) Saatavuus: Loppuunmyyty Kovakantinen kirja
Chengzhong Xu (ed.); Haiwei Pan (ed.); Chen Yu (ed.); Jianping Wang (ed.); Qilong Han (ed.); Xianhua Song (ed.); Zegua Lu Springer (2024) Saatavuus: Tulossa! Pehmeäkantinen kirja
Chengzhong Xu (ed.); Haiwei Pan (ed.); Chen Yu (ed.); Jianping Wang (ed.); Qilong Han (ed.); Xianhua Song (ed.); Zegua Lu Springer (2024) Saatavuus: Tulossa! Pehmeäkantinen kirja
Chengzhong Xu (ed.); Haiwei Pan (ed.); Chen Yu (ed.); Jianping Wang (ed.); Qilong Han (ed.); Xianhua Song (ed.); Zegua Lu Springer (2024) Saatavuus: Tulossa! Pehmeäkantinen kirja
Springer Verlag, Singapore Sivumäärä: 132 sivua Asu: Pehmeäkantinen kirja Painos: 2015 Julkaisuvuosi: 2015, 27.05.2015 (lisätietoa) Kieli: Englanti
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.
