RAVA: Region-Based Average Video Quality Assessment

Sensors

卷:21

Anup Basu¹  Irene Cheng¹  Xuanyi Wu¹  Zhenkun Zhou² 

[1] Department of Computing Science, University of Alberta, Edmonton, AB T6G 2R3, Canada;

[2] Huawei Fields Laboratory, Hangzhou 310000, China;

关键词: video quality assessment;    objective score;    human visual system (HVS);    image quality assessment;   

DOI  :  10.3390/s21165489

来源: DOAJ

【 摘 要 】

Video has become the most popular medium of communication over the past decade, with nearly 90 percent of the bandwidth on the Internet being used for video transmission. Thus, evaluating the quality of an acquired or compressed video has become increasingly important. The goal of video quality assessment (VQA) is to measure the quality of a video clip as perceived by a human observer. Since manually rating every video clip to evaluate quality is infeasible, researchers have attempted to develop various quantitative metrics that estimate the perceptual quality of video. In this paper, we propose a new region-based average video quality assessment (RAVA) technique extending image quality assessment (IQA) metrics. In our experiments, we extend two full-reference (FR) image quality metrics to measure the feasibility of the proposed RAVA technique. Results on three different datasets show that our RAVA method is practical in predicting objective video scores.

【 授权许可】

Unknown