Motion-based depth estimation for 2D-to-3D video conversion

Ming Jiun Wang, Chun Fu Chen, Gwo-Giun Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This paper presents a motion-based depth estimation algorithm for automatic 2D-to-3D video conversion algorithm by employing the co-occurrence matrix of motion vectors (MVCM). Video scenes possess distinct signatures of MVCM, which enables exploiting the corresponding motion-depth relation for depth generation. The subsequent motion-compensated depth updating scheme provides stable and comfort 3D visual quality as synthesized by depth-image-based rendering. The simulation results of several high-definition image sequences indicate that the proposed algorithm produces better and more reasonable depth than two motion-based depth estimation algorithms. With the adaptive depth estimation scheme using MVCM, the proposed 2D-to-3D video conversion algorithm can accommodate a great variety of visual contents. It thus provides an efficient and reliable solution towards the problem of automatic 3D video content creation.

Original languageEnglish
Title of host publicationIEEE VCIP 2013 - 2013 IEEE International Conference on Visual Communications and Image Processing
PublisherIEEE Computer Society
ISBN (Print)9781479902903
DOIs
Publication statusPublished - 2013 Jan 1
Event2013 IEEE International Conference on Visual Communications and Image Processing, IEEE VCIP 2013 - Kuching, Sarawak, Malaysia
Duration: 2013 Nov 172013 Nov 20

Publication series

NameIEEE VCIP 2013 - 2013 IEEE International Conference on Visual Communications and Image Processing

Other

Other2013 IEEE International Conference on Visual Communications and Image Processing, IEEE VCIP 2013
CountryMalaysia
CityKuching, Sarawak
Period13-11-1713-11-20

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

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