Research on quality assessment of network video based frame freezing duration | |
Zhao, Hong; Kong, Dongyi; Cao, Chang; Ma, Donglin | |
2019-07-12 | |
会议日期 | July 12, 2019 - July 13, 2019 |
会议地点 | Wuhan, China |
关键词 | Artificial intelligence Mean square error Video recording Video streaming Linear correlation coefficient No references Payload information Root mean square errors Temporal information Video frame Video quality Video quality monitoring |
DOI | 10.1145/3349341.3349492 |
页码 | 691-697 |
英文摘要 | Delivery service of high quality video streaming is a big challenge for providers of network video due to there is huge video data need to be delivered in time and the network condition is complex and dynamic, which have a severe impact on fluency of playing video. The frame freezes as one of the main factors affects the fluency of playing video severely. A novel model of no-reference network video quality assessment is proposed to improve the process of video quality monitoring. The assessment model is constructed according to frame freeze duration, concentrative degree of frame freeze and complexity of video frame content. The frame freeze duration and concentrative degree of frame freeze are acquired by frame rate; the number and location of frame freeze events are obtained from analyzing the frame freeze events occurred in playing video. The complexity of video frame content is calculated by coding bit-rate, the type of macro-block and the motion vector, which obtained from payload information of video streaming. The tests are performed on a set of video sequences with different spatial and temporal information. Compared with G.1070 model, the Pearson Linear Correlation Coefficient of the proposed model is increased by average of 0.041, and the Root Mean Square Error reduced by average of 0.049. Test results indicate that the proposed model has a better performance in assessing frame freeze in network video. © 2019 Association for Computing Machinery. |
会议录 | ACM International Conference Proceeding Series |
会议录出版者 | Association for Computing Machinery |
语种 | 英语 |
内容类型 | 会议论文 |
源URL | [http://ir.lut.edu.cn/handle/2XXMBERH/117967] |
专题 | 计算机与通信学院 党委学生工作部(学生处、易班、武装部) |
作者单位 | School of Computer and Communication, Lanzhou University of Technology, Lanzhou, China |
推荐引用方式 GB/T 7714 | Zhao, Hong,Kong, Dongyi,Cao, Chang,et al. Research on quality assessment of network video based frame freezing duration[C]. 见:. Wuhan, China. July 12, 2019 - July 13, 2019. |
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