Motion Estimation by Classification of Block Types


The KIPS Transactions:PartB , Vol. 13, No. 6, pp. 585-590, Dec. 2006
10.3745/KIPSTB.2006.13.6.585,   PDF Download:

Abstract

Although motion estimation plays an important role in digital video compression, complex search procedure is required to find an optimal motion vector. To reduce the search time, the search start point should be set up properly and efficient search pattern is needed. If the overall motion of the current block can be predicted, motion estimation can be performed efficiently. In this paper, block types are classified using candidate vectors and the motion activity of the block is predicted, which leads to the search start point close to the optimal motion vector. The proposed method proves to be about 1.5～7 times faster than existing methods with about 0.02～0.2(dB) improvement of picture quality in images with large movements.


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Cite this article
[IEEE Style]
H. S. Yoon, J. M. Yoo, M. S. Park, M. Y. Kim, G. S. Lee, "Motion Estimation by Classification of Block Types," The KIPS Transactions:PartB , vol. 13, no. 6, pp. 585-590, 2006. DOI: 10.3745/KIPSTB.2006.13.6.585.

[ACM Style]
Hyo Sun Yoon, Jae Myeong Yoo, Mi Seon Park, Mi Young Kim, and Guee Sang Lee. 2006. Motion Estimation by Classification of Block Types. The KIPS Transactions:PartB , 13, 6, (2006), 585-590. DOI: 10.3745/KIPSTB.2006.13.6.585.