  Over the last decade, different technologies to visualize 3D scenes have been
introduced and improved. These technologies include stereoscopic, multi-view,
integral imaging and holographic types. Despite increasing consumer interest;
poor image quality, crosstalk or side effects of 3D displays and also the lack
of defined broadcast standards has hampered the advancement of 3D displays to
the mass consumer market. Also, in real time transmission of 3DTV sequences
over packet-based networks may results in visual quality degradations due to
packet loss and others. In the conventional 2D videos different extrapolation
and directional interpolation strategies have been used for concealing the
missing blocks but in 3D, it is still an emerging field of research. Few
studies have been carried out to define the assessment methods of stereoscopic
images and videos. But through industrial and commercial perspective,
subjective quality evaluation is the most direct way to evaluate human
perception on 3DTV systems. This paper reviews the state-of-the-art error
concealment strategies and the subjective evaluation of 3D videos and proposes
a low complexity frame loss concealment method for the video decoder.
Subjective testing on prominent datasets videos and comparison with existing
concealment methods show that the proposed method is very much efficient to
conceal errors of stereoscopic videos in terms of computation time, comfort and
distortion.
