A novel no-reference QoE assessment model for frame freezing of mobile video

Wang, Bing, Peng, Qiang, Wu, Xiao, Wang, Eric, and Xiang, Wei (2018) A novel no-reference QoE assessment model for frame freezing of mobile video. In: Lecture Notes in Computer Science (11166) pp. 156-165. From: PCM 2018: Pacific Rim Conference on Multimedia, 21-22 September 2018, Hefei, China.

[img] PDF (Pubished Version) - Published Version
Restricted to Repository staff only

View at Publisher Website: https://doi.org/10.1007/978-3-030-00764-...


In this paper, a novel no-reference (NR) Quality of Experience (QoE) assessment model for frame freezing of mobile video is proposed. Four source video sequences with smooth motion intensity which were extracted from LIVE mobile database have been used to create different types of test sequences. Two subjective experiments are conducted with these distorted sequences, and the Differential Mean Opinion Scores (DMOS) are obtained. Then a QoE model is proposed based on the experimental results. This model can quantitatively measure the perceptual quality of users’ experience when they are watching the frame freezing videos. Due to the lack of publicly available datasets, we establish a new database of mobile videos with frame freezing distortion based on the LIVE mobile database. The proposed model is compared with three other QoE assessment metrics on the new database, and the result shows the proposed model has a better performance than others.

Item ID: 58492
Item Type: Conference Item (Research - E1)
ISSN: 1611-3349
Keywords: Frame freezing, Mobile video, Quality of experience, Video quality assessment
Funders: National Natural Science Foundation of China (NNSFC), Sichuan Science and Technology Innovation Seedling Fund (SSTISF), Fundamental Research Funds for the Central Universities
Projects and Grants: NNSFC Grant No. 61772436, SSTISF 2017RZ0015
Date Deposited: 04 Jun 2019 23:35
FoR Codes: 40 ENGINEERING > 4009 Electronics, sensors and digital hardware > 400999 Electronics, sensors and digital hardware not elsewhere classified @ 100%
Downloads: Total: 3
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page