DocumentCode :
3146733
Title :
Spatio-temporal segmentation based continuous no-reference stereoscopic video quality prediction
Author :
Sazzad, Z. M Parvez ; Yamanaka, S. ; Horita, Y.
Author_Institution :
Grad. Sch. of Sci. & Eng., Univ. of Toyama, Toyama, Japan
fYear :
2010
fDate :
21-23 June 2010
Firstpage :
106
Lastpage :
111
Abstract :
In this paper, we propose a no-reference continuous video quality prediction method for MPEG-2 MP@ML coded stereoscopic videos based on spatio-temporal segmentation. Segmented local features such as edge and non-edge areas based spatial artifacts, disparity, and temporal features are measures in this method. Blockiness and blur are considered to measure spatial artifacts for each stereo pair frames. A block based different zero-crossing approach is used for disparity measure. Each temporal segment is evaluated for spatial artifacts and disparity. In this method, temporal features are estimated separately for left and right video sequences based on segmented local features and sub temporal segment. Different weighting factors are then applied for the two different local features to measure the artifacts, disparity, and temporal features of a temporal segment. In order to verify the performance, we conducted subjective experiment on different symmetric and asymmetric coded stereo videos which indicates that our proposed method´s prediction performance is quite sufficient.
Keywords :
image segmentation; image sequences; video signal processing; MPEG-2 MP@ML coded stereoscopic videos; asymmetric coded stereo videos; continuous no-reference stereoscopic video quality prediction; disparity measure; local feature segmentation; non-edge areas based spatial artifacts; spatiotemporal segmentation; sub temporal segment; symmetric coded stereo videos; temporal features; video sequences; zero-crossing approach; Cameras; Codecs; Humans; Image quality; Low pass filters; Material storage; PSNR; Quality assessment; TV; Video sequences; Autostereoscopic display; Disparity; No-reference; SSCQE; Spatio-Temporal segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Quality of Multimedia Experience (QoMEX), 2010 Second International Workshop on
Conference_Location :
Trondheim
Print_ISBN :
978-1-4244-6959-8
Type :
conf
DOI :
10.1109/QOMEX.2010.5517772
Filename :
5517772
Link To Document :
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