Abstract
Traditional distributed video coding schemes achieved compression by using a single reference frame for side information, which plays a key-role in determining the performance of the codec. To refine side information, we propose a novel side information generation algorithm by using two neighbouring key frames as reference. The proposed algorithm uses multi-hypothesis predictions to fully utilise the intra and inter frame correlations. Three side information candidates are obtained by applying multi-hypothesis predictions and bi-directional motion estimation on the non-key frame and its bi-directional reference frames. The most similar candidate is chosen by calculating the correlation coefficients between the non-key frame and the three candidates. With the refined side information, the video frames are reconstructed by blocked compressed sensing with a smoothed project-landweber (BCS-SPL) algorithm. Experimental results demonstrate that the proposed algorithm outperforms the original schemes in refining the side information as well as improving the reconstruction performance.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call