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Joint Disparity and Motion Estimation Using Optical Flow for Multiview Distributed Video Coding

Salmistraro, M. ; Rakêt, L. L. ; Brites , C. ; Ascenso, J. ; Forchhammer, S.

Joint Disparity and Motion Estimation Using Optical Flow for Multiview Distributed Video Coding, Proc European Signal Processing Conference EUSIPCO, Lisbon, Portugal, Vol. -, pp. - - -, September, 2014.

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Abstract
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.