RAVA: Region-Based Average Video Quality Assessment
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 asse...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-08-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/16/5489 |
| _version_ | 1797522063124070400 |
|---|---|
| author | Xuanyi Wu Irene Cheng Zhenkun Zhou Anup Basu |
| author_facet | Xuanyi Wu Irene Cheng Zhenkun Zhou Anup Basu |
| author_sort | Xuanyi Wu |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T08:24:15Z |
| format | Article |
| id | doaj.art-3c6584379a7b4ae5a67b9710331c90b3 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T08:24:15Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-3c6584379a7b4ae5a67b9710331c90b32023-11-22T09:40:41ZengMDPI AGSensors1424-82202021-08-012116548910.3390/s21165489RAVA: Region-Based Average Video Quality AssessmentXuanyi Wu0Irene Cheng1Zhenkun Zhou2Anup Basu3Department of Computing Science, University of Alberta, Edmonton, AB T6G 2R3, CanadaDepartment of Computing Science, University of Alberta, Edmonton, AB T6G 2R3, CanadaHuawei Fields Laboratory, Hangzhou 310000, ChinaDepartment of Computing Science, University of Alberta, Edmonton, AB T6G 2R3, CanadaVideo 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.https://www.mdpi.com/1424-8220/21/16/5489video quality assessmentobjective scorehuman visual system (HVS)image quality assessment |
| spellingShingle | Xuanyi Wu Irene Cheng Zhenkun Zhou Anup Basu RAVA: Region-Based Average Video Quality Assessment Sensors video quality assessment objective score human visual system (HVS) image quality assessment |
| title | RAVA: Region-Based Average Video Quality Assessment |
| title_full | RAVA: Region-Based Average Video Quality Assessment |
| title_fullStr | RAVA: Region-Based Average Video Quality Assessment |
| title_full_unstemmed | RAVA: Region-Based Average Video Quality Assessment |
| title_short | RAVA: Region-Based Average Video Quality Assessment |
| title_sort | rava region based average video quality assessment |
| topic | video quality assessment objective score human visual system (HVS) image quality assessment |
| url | https://www.mdpi.com/1424-8220/21/16/5489 |
| work_keys_str_mv | AT xuanyiwu ravaregionbasedaveragevideoqualityassessment AT irenecheng ravaregionbasedaveragevideoqualityassessment AT zhenkunzhou ravaregionbasedaveragevideoqualityassessment AT anupbasu ravaregionbasedaveragevideoqualityassessment |