Optimising task-based video quality

被引：0
作者：
Leszczuk, Mikolaj [1 ]
机构：
[1] AGH Univ Sci & Technol, PL-30059 Krakow, Poland
来源：
MULTIMEDIA TOOLS AND APPLICATIONS | 2014年 / 68卷 / 01期
关键词：
Video; Quality; Experiments; Models; Optimisation;
D O I：
10.1007/s11042-012-1161-6
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Development of techniques for assessing video quality is reviewed. Examples have been provided on the quality of video applications ranging from popular entertainment to new trends such as applications in wide-reaching public systems, not just those used by security forces but also for medical purposes. In particular, two typical usages of task-based video: surveillance video for accurate licence plate recognition, and medical video for credible diagnosis prior to bronchoscopic surgery were introduced by the author. The problem of task-based video quality assessment starting from subjective psychophysiological experiments to objective quality models is discussed. Example test results and models are provided alongside to the descriptions. Finally, a quality optimisation approach, driven by recognition rates is presented.
引用
收藏
页码：41 / 58
页数：18
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