DocumentCode :
3604598
Title :
Subjective and Objective Video Quality Assessment of 3D Synthesized Views With Texture/Depth Compression Distortion
Author :
Xiangkai Liu ; Yun Zhang ; Sudeng Hu ; Sam Kwong ; Kuo, C.-C Jay ; Qiang Peng
Author_Institution :
Sch. of Inf. Sci. & Technol., Southwest Jiaotong Univ., Chengdu, China
Volume :
24
Issue :
12
fYear :
2015
Firstpage :
4847
Lastpage :
4861
Abstract :
The quality assessment for synthesized video with texture/depth compression distortion is important for the design, optimization, and evaluation of the multi-view video plus depth (MVD)-based 3D video system. In this paper, the subjective and objective studies for synthesized view assessment are both conducted. First, a synthesized video quality database with texture/depth compression distortion is presented with subjective scores given by 56 subjects. The 140 videos are synthesized from ten MVD sequences with different texture/depth quantization combinations. Second, a full reference objective video quality assessment (VQA) method is proposed concerning about the annoying temporal flicker distortion and the change of spatio-temporal activity in the synthesized video. The proposed VQA algorithm has a good performance evaluated on the entire synthesized video quality database, and is particularly prominent on the subsets which have significant temporal flicker distortion induced by depth compression and view synthesis process.
Keywords :
data compression; image sequences; image texture; quantisation (signal); spatiotemporal phenomena; video coding; 3D synthesized view; MVD sequence; MVD-based 3D video system; VQA method; multiview video plus depth-based 3D video system; objective video quality assessment; spatiotemporal activity; subjective video quality assessment; texture-depth compression distortion; texture-depth quantization combination; view synthesis process; Databases; Distortion; Image coding; Noise; Quality assessment; Three-dimensional displays; Video recording; 3D Video; 3D video; Video quality assessment; multi-view video plus depth; synthesized video quality database; temporal flicker distortion; view synthesis;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/TIP.2015.2469140
Filename :
7206582
Link To Document :
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