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Evaluation Infrastructure for the Measurement of Content-based Video Quality and Video Analytics Performance
Published
Author(s)
Haiying Guan, Daniel F. Zhou, Jonathan G. Fiscus, John S. Garofolo, James M. Horan
Abstract
In this report we describe a novel framework for evaluation of video analytics which uses video quality metric prediction as a measurement of the system performance. This system is used to improve overall video analytics system performance. The primary concept of this approach is to create an evaluation infrastructure that can promote the study of video quality metrics, and at the same time promote the research of video analytics. The achievements in both domains will have significant impacts on many application areas, such as public safety, homeland security, video surveillance applications, geographic applications and entertainment video.
Guan, H.
, Zhou, D.
, Fiscus, J.
, Garofolo, J.
and Horan, J.
(2017),
Evaluation Infrastructure for the Measurement of Content-based Video Quality and Video Analytics Performance, NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.IR.8187
(Accessed October 2, 2025)