KEYWORDS: Video, Video coding, Cameras, Video compression, Chromium, Standards development, Electronics engineering, Stereoscopic displays, Electronic imaging, Current controlled current source
The inter-view prediction is used as well as the temporal prediction in order to exploit both the temporal and inter-view
redundancies in multiview video coding. Accordingly, the multiview video coding has two types of motion vectors that
are the temporal motion vector and the disparity vector, respectively. The disparity vector is generally uncorrelated with
the temporal motion vector. However, they are used together to predict the motion vector regardless of their types,
therefore an efficiency of the conventional predictive coding of multiview video coding is decreased. In order to increase
the accuracy of the predicted motion vector, a new motion vector prediction method including virtual temporal motion
vector and virtual disparity vector is proposed for both the multiview video and multiview video plus depth formats. The
experimental results show that the proposed method can reduce the coding bitrates by 6.5% in average and 14.6% at
maximum in terms of Bjontegaard metric compared to the conventional method.
KEYWORDS: Video, Video coding, Cameras, Neodymium, 3D video compression, Video compression, Stereoscopic cameras, Photonic integrated circuits, Surface conduction electron emitter displays, Electronics
One of the important issues for a next generation broadcasting system is how to compress a massive amount of threedimensional
(3D) video efficiently. In this paper, we propose a geometry compensation method for 3D video coding
exploiting color videos, depth videos and camera parameters. In the proposed method, we first generate a compensated
view, which is located at the geometrically same position with the current view, using depth and camera parameters of
neighboring views. Then, the compensated view is used as a reference picture to reduce the inter-view redundancies such
as disparity and motion vectors. Furthermore, considering the direction of hole-regions, we propose a hole-filling method
for picture of P-view to fill up the holes based on the neighboring background pixels. The experimental results show that
the proposed algorithm increases BD-PSNRs up to 0.22dB and 0.63dB for P- and B-views, respectively. Meanwhile, we
achieved up to 6.28% and 18.32% BD bit-rates gain for P- and B- views, respectively.
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