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Computed 3D Models for Very Low Bit-rate Video Coding |
F. Galpin,
The goal of this work is the video sequence compression for very low bitrate. We assume static scene captured with a monocular moving camera. We propose a method using several 3D models in order to reconstruct the original video sequence or a virtual one. A complete scheme for video sequence compression is presented and compared with classical compression schemes.
The main idea is that instead of aiming at reconstructing a unique realistic model of the real 3D scene which needs too much assumptions, the video sequence is processed to produce several 3D models which are valid for a section of the sequence called GOP. These 3D models are then used for reconstructing the original video sequence with a very low bitrate.
See also previous results on reconstructed models and reconstructed videos and a global scheme of the method .
Street sequence is provided by Thomson/CCETT.
Figure above shows the PSNR for both coding schemes.
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| Details in original image | Details in H263 compressed image (PSNR=24.5) | Details in Rec3D compressed image (PSNR=23.6) |
Figure above shows a detail of the street sequence. Even with lower PSNR, the Rec3D method shows better visual quality : H263 introduces blocking effect and low-pass filtering whereas Rec3D method preserves details (car). On the other hand the Rec3D method introduces geometric distortions (on the left side wall).
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