Specification of efficient block-matching scheme for motion estimation in video compression

Gwanggil Jeon, Sang Jun Park, Yong Fang, Marco Anisetti, Valerio Bellandi, Ernesto Damiani, Jechang Jeong

Research output: Contribution to journalArticlepeer-review

18 Scopus citations


We present an adaptive algorithm that finds the best blockmatching results in a computationally constrained and varied environment. The conventional diamond search algorithm, though faster than most known algorithms, is not very robust for sequences with scene variations or significant global motion. To solve this issue, rather than only using one fast motion estimation algorithm, we devise a more adaptive selection of fast motion estimation algorithms. Our adaptive selection approach for fast block search (ASFBS) algorithm uses a diamond search and two new subalgorithms: a cross-three-step search algorithm for large moving images and an advanced cross-diamond search algorithm for small moving images. The proposed ASFBS adapts based on the length of the motion vector, the number of search points, and the matching criteria of the neighboring block. Experimental results show that ASFBS is much more robust; it is faster than other popular fast block-matching algorithms, with smaller distortions.

Original languageBritish English
Article number127005
JournalOptical Engineering
Issue number12
StatePublished - 2009


  • Advanced cross-diamond search
  • Block matching
  • Crossthree-step search
  • Fast block search
  • Motion search pattern


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