This paper deals with the side information (SI) gen- eration problem in multiview distributed video coding (MDVC). For inter-view interpolation, we propose a novel dense disparity estimation (DE) approach combined with a popular distributed video coding (DVC) technique. As disparity vectors are computed at the decoder side, and no coding rate is needed to transmit them, dense estimation techniques are made possible, leading to improved results without requiring high coding resources. Experimental results show that the proposed interpolation tech- nique can achieve up to 2.0 dB improvement in SI reconstruction performance, when compared to state-of-the-art DVC techniques. © 2009 IEEE.

Image interpolation with dense disparity estimation in multiview distributed video coding

Cagnazzo M.;
2009

Abstract

This paper deals with the side information (SI) gen- eration problem in multiview distributed video coding (MDVC). For inter-view interpolation, we propose a novel dense disparity estimation (DE) approach combined with a popular distributed video coding (DVC) technique. As disparity vectors are computed at the decoder side, and no coding rate is needed to transmit them, dense estimation techniques are made possible, leading to improved results without requiring high coding resources. Experimental results show that the proposed interpolation tech- nique can achieve up to 2.0 dB improvement in SI reconstruction performance, when compared to state-of-the-art DVC techniques. © 2009 IEEE.
2009
2009 3rd ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2009
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3469691
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