2D to 3D video conversion based on color segmentation and hight quality motion information

Authors:
Yu Zhang;Xuezhi Xiang;Jiying Zhao
Affiliations:
University of Ottawa, Ottawa, ON, Canada;University of Ottawa, Ottawa, ON, Canada;University of Ottawa, Ottawa, ON, Canada
Venue:
Proceedings of the 1st ACM multimedia international workshop on Cloud-based multimedia applications and services for e-health
Year:
2012

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Abstract

A 2D to 3D video conversion scheme based on color segmentation and motion information is presented in this paper. Optical flow with initial input from MPEG4 is employed to acquire high quality motion information, which can guarantee better depth information; color segmentation in this scheme divides the reference frame into homogeneous regions and restricts the objects boundaries more accurately; based on the divided regions, the depth values from the motion vectors are used to derive a group of depth plane by plane estimation. The experimental results show that our scheme can provide high quality depth map with accurate objects' boundaries.