Conference paper
Joint disparity and motion estimation using optical flow for multiview Distributed Video Coding
Distributed Video Coding (DVC) is a video coding paradigm where the source statistics are exploited at the decoder based on the availability of Side Information (SI). In a monoview video codec, the SI is generated by exploiting the temporal redundancy of the video, through motion estimation and compensation techniques.
In a multiview scenario, the correlation between views can also be exploited to further enhance the overall Rate-Distortion (RD) performance. Thus, to generate SI in a multiview distributed coding scenario, a joint disparity and motion estimation technique is proposed, based on optical flow. The proposed SI generation algorithm allows for RD improvements up to 10% (Bjøntegaard) in bit-rate savings, when compared with block-based SI generation algorithms leveraging temporal and inter-view redundancies.
Language: | English |
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Publisher: | IEEE |
Year: | 2014 |
Pages: | 286-290 |
Proceedings: | 22nd European Signal Processing Conference |
Series: | Proceedings of the European Signal Processing Conference |
ISBN: | 0992862612 , 1479946036 , 9780992862619 and 9781479946037 |
ISSN: | 20761465 |
Types: | Conference paper |
ORCIDs: | Forchhammer, Søren and 0000-0001-7099-2314 |
Decoding Disparity Estimation Distributed Video Coding Estimation Image motion analysis Interpolation Joints Motion Estimation Multiview Video Optical Flow Signal Processing and Analysis Silicon Video coding
DVC RD performance SI bit-rate savings block-based SI generation algorithms decoder decoding image sequences inter-view redundancy joint disparity-motion estimation technique monoview video codec motion compensation motion compensation techniques motion estimation multiview distributed video coding optical flow rate distortion theory rate-distortion performance side information source statistics statistical analysis video codecs video coding video temporal redundancy