A motion vector difference based self-incremental adaptive search range algorithm for variable block size motion estimation

Zhenxing Chen, Qin Liu, Takeshi Ikenaga, Satoshi Goto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Citations (Scopus)

Abstract

The search range (SR) parameter plays an important role in motion estimation (ME) for video coding. Adaptively adjusting SR according to the information given by previously encoded syntax element, also known as adaptive search range (ASR) algorithm, can efficiently reduce the computational complexity of ME. Compared with heuristic search pattern (HSP) algorithms like diamond/hexagon search, ASR algorithms are more fundamental, flexible and hardware-oriented. This paper although starts with a comparison between HSP and ASP algorithms which is followed by a proposed ASR algorithm with experimental results, however more likely intends to contribute several novel perspectives to this research area.

Original languageEnglish
Title of host publicationProceedings - International Conference on Image Processing, ICIP
Pages1988-1991
Number of pages4
DOIs
Publication statusPublished - 2008
Event2008 IEEE International Conference on Image Processing, ICIP 2008 - San Diego, CA
Duration: 2008 Oct 122008 Oct 15

Other

Other2008 IEEE International Conference on Image Processing, ICIP 2008
CitySan Diego, CA
Period08/10/1208/10/15

    Fingerprint

Keywords

  • Adaptive search range (ASR)
  • Motion estimation (ME)
  • Motion vector difference (MVD)
  • Video coding

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Chen, Z., Liu, Q., Ikenaga, T., & Goto, S. (2008). A motion vector difference based self-incremental adaptive search range algorithm for variable block size motion estimation. In Proceedings - International Conference on Image Processing, ICIP (pp. 1988-1991). [4712173] https://doi.org/10.1109/ICIP.2008.4712173