Video Segmentation on 2D Images with 3D Effect
Video segmentation is the process of partitioning the video into some meaningful images. These images are called 2D images in the video content. This paper focuses on video content which is transformed into 2D images. In the authors' analysis, the video segmentation problem is transformed into a problem of Images, in which each video event is transformed into a 2D image with 3D effect using new cubic algorithm. Furthermore, one can use this cubic algorithm to implement any 2Dimage for creating 3D effect directly which shows the better result of other 3D effect methods.