Title :
Adaptive motion-estimation-mode selection for depth video coding
Author :
Kamolrat, B. ; Fernando, W.A.C. ; Mrak, M.
Author_Institution :
Centre for Commun. Syst. Res., Univ. of Surrey, Guildford, UK
Abstract :
An effective representation of 3D video in future 3D-TV systems consists of monoscopic video (colour component) and associated per-pixel depth information (depth component). As depth component indicates relative distance between objects within the scene and a camera, pixel values change not only when objects move in vertical and horizontal directions but also when they move in a depth direction. Instead of predicting motion of objects in two directions as appearing in traditional video codecs, three-dimensional block matching (3D-BM) achieves more accurate motion estimation in depth video coding. However overall performance of 3D-BM exceeds that of the traditional two-dimensional block matching (2D-BM) only at high bit rate. In this paper, an adaptive 2D-3D BM selection algorithm is introduced to compromise performance of 2DBM and 3D-BM. The Lagrangian optimisation algorithm is applied to select motion estimation mode at a block level. The experiment results reveal that the proposed adaptive motion-estimation-mode selection can improve the performance of 3D-BM at low bit rate while advantages of 3D-BM are preserved at high bit rate.
Keywords :
image colour analysis; image matching; image representation; motion estimation; optimisation; video coding; 3D block matching; 3D video representation; 3D-TV system; Lagrangian optimisation; adaptive 2D-3D BM selection algorithm; adaptive motion-estimation-mode selection; colour component; depth component; depth video coding; monoscopic video; per-pixel depth information; Bit rate; Cameras; Lagrangian functions; Layout; Motion compensation; Motion estimation; Rendering (computer graphics); Video codecs; Video coding; Video compression; 3D video; block matching; depth imagebased rendering (DIBR); motion estimation;
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2010.5495073