DocumentCode :
3570612
Title :
Subjective evaluation and statistical analysis for improved frame-loss error concealment of 3D videos
Author :
Hasan, Md Mehedi ; Arnold, John F. ; Frater, Michael R.
Author_Institution :
Sch. of Eng. & IT, UNSW Australia, Canberra, ACT, Australia
fYear :
2014
Firstpage :
181
Lastpage :
184
Abstract :
Broadcasting of high definition stereoscopic 3D videos is growing rapidly because of increased demand in the mass consumer market. In spite of increasing consumer interest, poor quality, crosstalk or side effects and lack of defined broadcast standards has hampered the advancement of 3D displays. Real time transmission of 3DTV sequences over packet based networks may result in visual quality degradation due to packet loss and delay. In conventional 2D videos, different extrapolation and directional interpolation strategies have been used for concealing the missing blocks but in 3D, this is still an emerging field of research. Also, subjective testing is the most direct way to evaluate 3D quality and human perception on the concealed videos. This paper reviews state-of-the-art error concealment strategies and proposes a low complexity frame loss concealment method for a video decoder. Subjective testing on common 3D video sequences and its statistical comparison with existing concealment methods shows that the proposed method is efficient for the concealment of error frames of stereoscopic videos in terms of visual comfort and 3D quality.
Keywords :
image sequences; stereo image processing; video signal processing; 3D video quality; 3D video sequence; human perception; improved frame loss error concealment; low complexity frame loss concealment method; statistical analysis; stereoscopic 3D videos; subjective evaluation; video decoder; Observers; Quality assessment; Three-dimensional displays; Video recording; Video sequences; Videos; Visualization; Error Concealment; Error Resilience; Stereoscopic video; Subjective Testing; T-test;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Communications and Image Processing Conference, 2014 IEEE
Type :
conf
DOI :
10.1109/VCIP.2014.7051534
Filename :
7051534
Link To Document :
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