Depth Estimation for 2D to 3D Football Video Conversion
Journal Title: International Research Journal of Applied and Basic Sciences - Year 2013, Vol 6, Issue 4
Abstract
Depth estimation is the main challenge of 2D to 3D video conversion. In this paper we propose a new algorithm for the depth estimation in 2D football videos. In this approach, we use a football analyzer that it classifies football video shots into four types namely: Long-shot, Medium-shot, Close-up and Out-of-field shot. Then, the depth in each video shot is estimated according to the shot class. Simulation results indicate an accurate depth estimation performance and a low computational complexity for the proposed method.
Authors and Affiliations
Seyed-mohsen Seyed-mousavi Tasieh*| Faculty of Electrical and Computer Engineering, email: idinmousavi@gmail.com, Mehdi Rezaei| University of Sistan and Baluchestan, Zahedan, Iran
Keywords
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