scholarly journals [papers] Viewers' Susceptibility to Image Blurs in Watching Ultra-high-definition TV Correlates with Their Dynamic Visual Acuity

2019 ◽  
Vol 7 (2) ◽  
pp. 103-110
Author(s):  
Masaki Emoto ◽  
Yu Fang ◽  
Satoshi Shioiri
Keyword(s):  
Visual Acuity ◽  
High Definition ◽  
Dynamic Visual Acuity ◽  
High Definition Tv

Dynamic visual acuity in an applied setting.

1961 ◽  
Author(s):  
James E. Goodson ◽  
James W. Miller
Keyword(s):  
Visual Acuity ◽  
Dynamic Visual Acuity

Driver Technology for 8K Ultra High Definition TV

2019 ◽  
pp. 1506
Author(s):  
Hyun-Wook Lim ◽  
Yong-Hoon Yu ◽  
Jinho Kim ◽  
Byoung-Yoon Jang ◽  
Jung-Pil Lim ◽  
...  
Keyword(s):  
High Definition ◽  
High Definition Tv

A video codec LSI for high-definition TV systems with one-transistor DRAM line memories

1989 ◽  
Vol 24 (6) ◽  
pp. 1656-1661
Author(s):  
T. Takada ◽  
T. Oto ◽  
K. Kitagaki ◽  
N. Hatanaka ◽  
T. Demura ◽  
...  
Keyword(s):  
Video Codec ◽  
High Definition ◽  
High Definition Tv

scholarly journals Major Big Data Challenges in Most Industries and Innovative Solutions

2019 ◽  
Vol 9 (2S2) ◽  
pp. 424-428
Keyword(s):  
Big Data ◽  
Mobile Networks ◽  
Spatial Data ◽  
High Volume ◽  
High Definition ◽  
Management Tools ◽  
Social Media Networks ◽  
Massive Growth ◽  
Multiple Challenges ◽  
High Definition Tv

The term “Big data” refers to “the high volume of data sets that are relatively complex in nature and having challenges in processing and analyzing the data using conventional database management tools”. In the digital universe, the data volume and variety that, we deal today have grown-up massively from different sources such as Business Informatics, Social-Media Networks, Images from High Definition TV, data from Mobile Networks, Banking data from ATM Machines, Genomics and GPS Trails, Telemetry from automobiles, Meteorology, Financial market data etc. Data Scientists confirm that 80% of the data that we have gathered today are in unstructured format, i.e. in the form of images, pixel data, Videos, geo-spatial data, PDF files etc. Because of the massive growth of data and its different formats, organizations are having multiple challenges in capturing, storing, mining, analyzing, and visualizing the Big data. This paper aims to exemplify the key challenges faced by most organizations and the significance of implementing the emerging Big data techniques for effective extraction of business intelligence to make better and faster decisions

Sign in / Sign up

Export Citation Format

Share Document