Real-Time 2D to 3D Video Conversion using Compressed Video based on Depth-From Motion and Color Segmentation

This paper provides the conversion of two dimensional (2D) to three dimensional (3D) video. Now-a-days the three dimensional video are becoming more popular, especially at home entertainment. For converting 2D to 3D, the conversion techniques are used so able to deliver the 3D videos efficiently and effectively. In this paper, block matching based depth from motion estimation and color segmentation is used for presenting the video conversion scheme i.e., automatic monoscopic video to stereoscopic 3D.To provide a good region boundary information the color based segmentation is used for fuse with block-based depth map for assigning good depth values in every segmented region and eliminating the staircase effect. The experimental results can achieve 3D stereoscopic video output is relatively high quality manner.