A Low-Complexity Stereo Video Coding Scheme for Surveillance
Low-complexity stereo video compression is important for surveillance. The existing H.264-based stereo video coding compression schemes have high coding performance, but the complexity of motion and disparity estimation is a significant burden for surveillance, especially in the 3D case. In this paper, a low-complexity stereo video coding scheme is proposed for 3D surveillance. This scheme is based on motion vector (MV) extrapolation and region-of-interest (ROI) image restoration technique. In one hand, MV extrapolation refinement is used to reduce the complexity on motion estimation. In addition, through the object segmentation in low-resolution video and information transmission in ROI enhancement layer, the quality scalability for reconstructed frame is implemented. The experimental results show that our proposed scheme can reduce the coding complexity of stereo video while maintaining a high compression performance.
low-complexity motion vector extrapolation ROI image restoration stereo video coding
Jiang Hao Yao Qifu Yu Mei Ren Yibo
Zhejiang Business Technology Institute, Ningbo, China Faculty of Information Science and Engineering, Ningbo University, Ningbo, China
国际会议
太原
英文
231-234
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）