caa a22 4500 445295309 CHVBK 20180317142540.0 cr unu---uuuuu 170323e20100301xx s 000 0 eng 10.1007/s11554-009-0123-3 doi (NATIONALLICENCE)springer-10.1007/s11554-009-0123-3 Network-driven low complexity coding for wireless multi-view video system [Elektronische Daten] [Feng Shao, Gangyi Jiang, Mei Yu] For wireless multi-view video system, which has very limited capability for storage and computation at the encoder, it is essential to design a video coding scheme with low complexity. Wyner-Ziv (WZ) coding scheme shifts large computational complexities to decoder with side information reconstruction, however, its encoding efficiency is not high enough. To obtain higher encoding efficiency and lower encoding complexity for wireless multi-view video applications, a network-driven low complexity video coding method is proposed in the paper. The proposed method is designed to implement color correction, motion vector extrapolation and disparity extraction at the central node of network, so as to reduce large computational complexities of motion estimation at the encoder and disparity estimation at the decoder. Experimental results show that encoding efficiency of the proposed method is higher than those of WZ coding and H.264 intraframe coding methods. The encoding complexity of the proposed method is greatly decreased and the decoded views are of color consistency, which is favorable to high quality view rendering at the decoder. Springer-Verlag, 2009 Wireless multi-view video system nationallicence Color correction nationallicence Low complexity coding nationallicence Motion vector extrapolation nationallicence Central node of network nationallicence Shao Feng Faculty of Information Science and Engineering, Ningbo University, 315211, Ningbo, China aut Jiang Gangyi Faculty of Information Science and Engineering, Ningbo University, 315211, Ningbo, China aut Yu Mei Faculty of Information Science and Engineering, Ningbo University, 315211, Ningbo, China aut Journal of Real-Time Image Processing Springer-Verlag 5/1(2010-03-01), 33-43 1861-8200 5:1<33 2010 5 11554 https://doi.org/10.1007/s11554-009-0123-3 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11554-009-0123-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Shao Feng Faculty of Information Science and Engineering, Ningbo University, 315211, Ningbo, China aut NATIONALLICENCE 700 1- Jiang Gangyi Faculty of Information Science and Engineering, Ningbo University, 315211, Ningbo, China aut NATIONALLICENCE 700 1- Yu Mei Faculty of Information Science and Engineering, Ningbo University, 315211, Ningbo, China aut NATIONALLICENCE 773 0- Journal of Real-Time Image Processing Springer-Verlag 5/1(2010-03-01), 33-43 1861-8200 5:1<33 2010 5 11554 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer