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De-interlacing Algorithm Based on Motion Objects

  • Junxia Gu
  • Xinbo Gao
  • Jie Li
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3212)

Abstract

A novel de-interlacing algorithm based on motion objects is presented in this paper. In this algorithm, natural motion objects, not contrived blocks, are considered as the processing cells, which are accurately detected by a new scheme, and whose matching objects are quickly searched by the immune clonal selection algorithm. This novel algorithm integrates many other de-interlacing methods, so it is more adaptive to various complex video sequences. Moreover, it can perform the motion compensation for objects with the translation, rotation as well as the scaling transform. The experimental results illustrate that compared with the block matching method with full search, the proposed algorithm greatly improve the efficiency and performance.

Keywords

Motion Estimation Motion Object Motion Compensation Motion Region Matching Object 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Junxia Gu
    • 1
  • Xinbo Gao
    • 1
  • Jie Li
    • 1
  1. 1.School of Electronic EngineeringXidian UnivXi’anP.R.China

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