Abstract | ||
---|---|---|
One of the latest innovations in the world of multimedia technologies is the application of Distributed Source Coding (DSC) theory to the robust transmission of video sequences. However, these DSC-based video encoders are usually characterized by a lower compression gain with respect to their hybrid counterparts. In this work, we investigate achieving H.264-like high compression efficiency with a DSC-based approach without constraints on encoding complexity. In this way, highly non-stationary video data are modelled through coarse low-cost Motion Estimation, and this allows us to obtain a good compression efficiency together with a certain robustness to channel errors and losses. Experimental results show that in presence of losses the presented algorithm permits a better quality with respect to H.264/AVC. |
Year | Venue | Keywords |
---|---|---|
2007 | EUSIPCO | image sequences,motion estimation,video coding,dsc-based approach,h.264/avc standard,compression gain,distributed source coding theory,distributed video coder,encoding complexity,low-cost motion estimation,nonstationary video data,video sequences robust transmission,correlation,decoding,entropy,encoding,robustness |
Field | DocType | ISBN |
Computer vision,Quarter-pixel motion,Computer science,Motion compensation,Algorithm,Multiview Video Coding,Artificial intelligence,Data compression,Video compression picture types,Rate–distortion optimization,Scalable Video Coding,Context-adaptive binary arithmetic coding | Conference | 978-839-2134-04-6 |
Citations | PageRank | References |
4 | 0.45 | 3 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Simone Milani | 1 | 293 | 35.23 |
Giancarlo Calvagno | 2 | 260 | 23.63 |