Title :
Sparse dyadic mode for depth map compression
Author :
Liu, Shujie ; Lai, PoLin ; Tian, Dong ; Gomila, Cristina ; Chen, Chang Wen
Author_Institution :
Dept. of Comput. Sci. & Eng., State Univ. of New York at Buffalo, Buffalo, NY, USA
Abstract :
In order to enable new video applications such as 3DTV and free-viewpoint video, new data formats including both 2D video sequences and corresponding depth map sequences have been proposed. One major characteristic making the depth maps different from video frames is that they typically consist of homogeneous areas separated by sharp edges representing depth discontinuities. Another characteristic of depth map sequences is that the edges exhibit quite similar boundary behaviors as the edges in the corresponding video frames. In this paper, we propose a novel sparse dyadic mode in the design of an efficient depth map compression algorithm through appropriately exploiting these characteristics. With sparse representations of depth blocks and effective reference of edge information from the corresponding video frames, sparse dyadic mode can achieve up to 1.5 dB gain on rendering quality as compared to depth sequences coded using MVC at the same bitrate.
Keywords :
data compression; image sequences; rendering (computer graphics); three-dimensional television; video coding; 2D video sequences; 3DTV; depth blocks; depth map compression algorithm; depth map sequence code; homogeneous areas; rendering quality; sharp edge representation depth; sparse dyadic mode; sparse representation; video frames; Bit rate; Decoding; Encoding; Image coding; Lead; Rendering (computer graphics); Three dimensional displays; 3D Video; Depth Compression; Sparse Dyadic Mode; Sparse Representations;
Conference_Titel :
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-7992-4
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2010.5653207