Paper Info
Title
Stereo Video Quality Metric Based On Multi-Dimensional Analysis
Abstract
Stereo video has been widely applied in various video systems in recent years. Therefore, objective stereo video quality metric (SVQM) is highly necessary for improving the watching experience. However, due to the high dimensional data in stereo video, existing metrics have some defects in accuracy and robustness. Based on the characteristics of stereo video, this paper considers the coexistence and interaction of multi-dimensional information in stereo video and proposes an SVQM based on multi-dimensional analysis (MDA-SVQM). Specifically, a temporal-view joint decomposition (TVJD) model is established by analyzing and comparing correlation in different dimensions and adaptively decomposes stereo group of frames (sGoF) into different subbands. Then, according to the generation mechanism and physical meaning of each subband, histogram-based and LOID-based features are extracted for high and low frequency subband, respectively, and sGoF quality is obtained by regression. Finally, the weight of each sGoF is calculated by spatial-temporal energy weighting (STEW) model, and final stereo video quality is obtained by weighted summation of all sGoF qualities. Experiments on two stereo video databases demonstrate that TVJD and STEW adopted in MDA-SVQM are convincible, and the overall performance of MDA-SVQM is better than several existing SVQMs.
Year
DOI
Venue
2021
10.3390/e23091129
ENTROPY
Keywords
DocType
Volume
stereo video, quality metric, stereo video decomposition, image entropy
Journal
23
Issue
ISSN
Citations 
9
1099-4300
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Zhouyan He113.05
Haiyong Xu201.01
Ting Luo3339.06
Yi Liu48229.92
Yang Song56422.68