Motion Vector Recovery Based on Homogeneous Motion Area for H.263 Video Communications


The KIPS Transactions:PartB , Vol. 8, No. 1, pp. 43-49, Feb. 2001
10.3745/KIPSTB.2001.8.1.43,   PDF Download:

Abstract

Bit streams corrupted by channel errors are not only difficult to be decoded but also propagate error to other part of the bit streams when highly compressed video is transmitted with noise as in mobile communication channels. In this paper, an algorithm for motion vector recovery is proposed. Given a lost block of an image, motion vectors of neighboring blocks are used to recover the motion vector of the missing block by calculating the average or similar estimations. Although such approach works moderately well in many cases, sometimes it fails to extract the best possible MV (Motion Vector) when edges of a moving object fall on the boundary of the missing block. In this paper, neighboring blocks with homogeneous movements are identified first and the motion vectors of such blocks are employed to produce more exact recovery of a motion vector of the missing block. Experimental results show that the proposed algorithm exhibits better performance in PSNR than existing error concealment methods.


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Cite this article
[IEEE Style]
J. H. Kim, N. R. Son, S. C. Park, S. O. Hwang, K. S. Yoon, D. J. Son, G. S. Lee, "Motion Vector Recovery Based on Homogeneous Motion Area for H.263 Video Communications," The KIPS Transactions:PartB , vol. 8, no. 1, pp. 43-49, 2001. DOI: 10.3745/KIPSTB.2001.8.1.43.

[ACM Style]
Jung Hyun Kim, Nam Rye Son, Sung Chan Park, Seong Oun Hwang, Ki Song Yoon, Duk Joo Son, and Guee Sang Lee. 2001. Motion Vector Recovery Based on Homogeneous Motion Area for H.263 Video Communications. The KIPS Transactions:PartB , 8, 1, (2001), 43-49. DOI: 10.3745/KIPSTB.2001.8.1.43.