L. Po, X. Xu, Y. Zhu, S. Zhang: Automatic 2D-to-3D video conversion technique based on depth-from-motion and color segmentation. IEEE International Conference on Signal Processing, ICSP, pp.1000-1003, 2010.

has been cited by the following article:

• TITLE: A Fast Depth-Map Generation Algorithm based on Motion Search from 2D Video Contents

  AUTHORS: Weiwei Wang, Yuesheng Zhu

  KEYWORDS: Block-matching, depth-map, motion search, DIBR

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.5 No.12B, January 25, 2013

  ABSTRACT: Generation of a depth-map from 2D video is the kernel of DIBR （Depth Image Based Rendering） in 2D-3D video conversion systems. However it occupies over most of the system resource where the motion search module takes up 90% time-consuming in typical motion estimation-based depth-map generation algorithms. In order to reduce the computational complexity, in this paper a new fast depth-map generation algorithm based on motion search is developed, in which a fast diamond search algorithm is adopted to decide whether a 16x16 or 4x4 block size is used based on Sobel operator in the motion search module to obtain a sub-depth-map. Then the sub-depth-map will be fused with the sub-depth-maps gotten from depth from color component Cr and depth from linear perspective modules to compensate and refine detail of the depth-map, finally obtain a better depth-map. The simulation results demonstrate that the new approach can greatly reduce over 50% computational complexity compared to other existing methods.