Region of interest support in scalable multi-view video coding

Abstract

In this paper, we develop a novel multi-view video coding scheme that can efficiently realize region of interest (ROI) support in scalable multi-view video coding (SMVC). The point of the algorithm is that an ROI can be treated as a whole picture while the background can be regarded as another one. The motion compensated temporal filtering (MCTF) and disparity compensated view filtering (DCVF) is then separately applied for them in proper order. Experimental results show that the reconstructed quality of the ROI can be improved at low bit rate compared to SMVC and content-based SMVC (CSMVC).